Meet our People

Peter Corke is a Distinguished Professor at the Queensland University of Technology (QUT), director of the ARC Centre of Excellence for Robotic Vision, and director of the QUT Centre for Robotics.  He is a Fellow of the IEEE, the Australian Academy of Science and the Australian Academy of Technology and Engineering.  He is a co-founder of the Journal of Field Robotics, member of the editorial board of the Springer STAR series, former Editor-in-Chief of the IEEE Robotics and Automation magazine and former member of the editorial board of the International Journal of Robotics Research. He has over 500 publications in the field, an h-index of 77 and over 30,000 citations. He has held visiting positions at the University of Pennsylvania, University of Illinois at Urbana-Champaign, Carnegie-Mellon University Robotics Institute, and Oxford University.  Peter created the MATLAB and Python Toolboxes for Robotics and Machine Vision, is the author of the popular textbook “Robotics, Vision & Control”, created the Robot Academy repository of open online lessons, and was named the 2017 Australian University Teacher of the Year by the Australian Government’s Department of Education and Training.  In 2020 he was awarded the prestigious IEEE Robotics and Automation Society George Saridis Leadership Award in Robotics and Automation. He is Chief Scientist for Dorabot and advisor to LYRO Robotics. His interests include visual-control of robots and the application of robots to problems such as large-scale environmental monitoring and agriculture, internet-based approaches to teaching at scale, open-source software development and writing.

Ian Reid is a Professor and the Head of the School of Computer Science at the University of Adelaide.  He is also Deputy Director of the ARC Centre of Excellence for Robotic Vision as well as the Centre’s Adelaide University Node Leader.  He is a Fellow of the Australian Academy of Technological Sciences and Engineering (ATSE), former Rhodes Scholar, and held an Australian Laureate Fellowship 2013-2018.

His research interests range across computer vision and are currently focused on life-long visual learning, and developing high-level representations for image and video understanding, especially those that can be computed and queried sufficiently rapidly to enable real-time robotic decision making and control. He has previous published widely in areas such as active vision, visual SLAM, visual geometry, human motion capture and intelligent visual surveillance. He has published widely on these topics in major journals and conferences, with more than 33,000 citations and a h-index of 86.

He is a member of the Australian Academy of Science (AAS) National Committee for Information and Communication Sciences, and was General Chair for the 14th Asian Conference on Computer Vision (ACCV) held in Perth, Australia in December 2018. He has previously served on the editorial boards of IEEE T-PAMI, Computer Vision and Image Understanding, and Image and Vision Computing Journal, and has led a number of EU, UK and Australian Research Council sponsored research projects.

Stephen Gould is a Professor in the Research School of Computer Science at ANU. He is also the ANU Node Leader and sits on the Executive Committee of the ARC Centre of Excellence for Robotic Vision.

He received his BSc Degree in Mathematics and Computer Science and BE Degree in Electrical Engineering from the University of Sydney in 1994 and 1996, respectively. He received his MS Degree in Electrical Engineering from Stanford University in 1998 and his PhD, also from Stanford in 2010. He then worked in industry for a number of years where he co-founded Sensory Networks, which sold to Intel in 2013. His research interests include computer and robotic vision, machine learning, probabilistic graphical models, deep learning and optimisation.

In 2017 Steve spent a year in Seattle leading a team of computer vision researchers and engineers at Amazon before returning to Australia in 2018.  He was awarded an ARC Future Fellowship in 2020 for the project, “Declarative Networks; Towards Robust and Explainable Deep Learning”.

Tom Drummond is a Professor and Head of the Department of Electrical and Computer Systems Engineering at Monash University. He is also the Monash Node Leader and sits on the Executive Committee of the ARC Centre of Excellence for Robotic Vision. He has been awarded the Könderink prize and the IEE International Symposium on Mixed and Augmented Reality (ISMAR) 10 year impact award.

He studied a BA in mathematics at the University of Cambridge.  In 1989 he emigrated to Australia and worked for CSIRO in Melbourne for four years before moving to Perth for his PhD in Computer Science at Curtin University.  In 1998 he returned to the University of Cambridge as a Postdoctoral Research Associate and in 1991 was appointed to the position of Lecturer.  In 2010 he returned to Melbourne and took up a Professorship at Monash University.  His research is principally in the field of real-time computer vision (ie processing of information from a video camera in a computer in real-time typically at frame rate), machine learning and robust methods. These have applications in augmented reality, robotics, assistive technologies for visually impaired users as well as medical imaging. During his time at both the University of Cambridge and Monash University he has been awarded research and industry grands in excess of $30M AUD.

Gustavo Carneiro is a Chief Investigator in the Centre, and Project Leader (Learning). He is a Professor at the School of Computer Science, University Adelaide. He joined the University of Adelaide as a Senior Lecturer in 2011, became an Associate Professor in 2015, and full Professor in December, 2018. His main research interests are in the fields of computer vision, medical image analysis and machine learning. In particular, in medical image analysis, Gustavo is developing multimodal methods to analyse medical images using deep learning techniques.  In computer vision his focus is in the development of new training procedures for deep learning methods and the development of feature learning approaches.

Feras Dayoub is a Senior Lecturer and a Chief Investigator with the Centre at QUT. He is the co-lead of the project on benchmarking and evaluation of robotic vision systems at ACRV. Feras is deeply interested in the reliable deployment of machine learning and computer vision on mobile robots in challenging environments. From 2016 to 2019, Feras was a Research Fellow with the Centre, based at QUT. From 2012 to 2016, he was a Post-Doctoral Research Fellow with the robotics group at QUT where he worked with various types of robots including Agrobotics as part of a Queensland DAF Agricultural Robotics Program in QUT, Autonomous Underwater Vehicles (AUV) as the computer vision lead on the COTSBot project, Unmanned Aerial Vehicles (UAV) as part of a project on assisted autonomy during the inspection of power infrastructure and Mobile service robots as a research fellow on an Australian research council discovery project on lifelong robotic navigation using visual perception. Feras obtained his PhD in 2012 from Lincoln Centre for Autonomous Systems (L-CAS), UK.

Professor Matthew Dunbabin joined QUT in 2013. He is known internationally for his research into field robotics, particularly environmental robots, and their application to large-scale marine and aquatic ecosystem process monitoring. He has wide research interests including including vision-based perception and classification, vision-based navigation, adaptive sampling and path planning, and cooperative robotics.  His current research within the Centre is focused on “environmental vision”. This involves the development and use of advanced computer vision techniques to detect and quantify change within the environment and to improve the perception and monitoring performance of robots operating in challenging and dynamic environments.

Professor Dunbabin received his Bachelor of Engineering in Aerospace Engineering from the Royal Melbourne Institute of Technology and his PhD from QUT. He started his professional career in 1995 as a project engineer at Roaduser Research International, and following his PhD joined the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in the Autonomous Systems Laboratory. At CSIRO he held various roles including Principal Research Scientist, project leader and the Robotics Systems and Marine Robotics team leader before moving to QUT in 2013.

Richard is renowned as one of the founders of the field of multi-view geometry in computer vision – his text has received over 28,000 citations.  He contributes to the Centre’s Camera Hardware and Learning for Vision projects. Richard has been at ANU since January 2001. He was also the Program Leader for the Autonomous Systems and Sensor Technology Program of NICTA.  Richard worked at the General Electric Research and Development Center from 1985 to 2001, where he became involved with Image Understanding and Scene Reconstruction working with GE’s Simulation and Control Systems Division. This division built large-scale flight-simulators. Dr. Hartley’s projects in this area were in the construction of terrain models and texture mosaics from aerial and satellite imagery. From 1995 he was GE project leader for a shared-vision project with Lockheed-Martin involving design and implementation of algorithms for an AFIS (fingerprint analysis) system being developed under a Lockheed-Martin contract with the FBI. This involved work in feature extraction, interactive fingerprint editing and fingerprint database matching. In 2000, he co-authored (with Andrew Zisserman) a book for Cambridge University Press, summarizing the previous decade’s research in this area. (Over 60,000 citations and an h-index of 78).

Chief Investigator Professor Hongdong Li has been with the College of Engineering and Computer Science, ANU since 2004.  He was seconded to National ICT Australia (NICTA) as a Senior Research Scientist during 2008-2010 working on the ‘Australia Bionic Eyes’ Project. From 2010 he assumed a tenured position with ANU, doing teaching and research in 3D computer vision and robotics.  He joined the ACRV in 2014 as one of the founding members.  During 2017—2018 he was a Visiting Professor with the Robotics Institute at Carnegie Mellon University (CMU), Pittsburgh. During 2019-2020 he served as the Associate School Director for ANU Research School of Engineering.

Jointly with his students and co-workers he won a number of most prestigious awards in computer vision, including the “David Marr Prize- Honourable mention” in 2017, the IEEE CVPR Best Paper Award in 2012, and IEEE ICIP Best Student Paper Prize in 2014, and IEEE ICPR Best student Paper in 2010. Both the Marr Prize and CVPR Best Paper Award are highly regarded awards in the international computer vision community.  He has supervised/co-supervised/graduated 20+ PhD students in the area of computer vision. His research projects have been funded by Australia Research Council, CSIRO, as well as by global technical firms including Microsoft Research, General Motors, Toshiba, Baidu AI etc.

Rob Mahony is a Professor in the Research School of Engineering at the ANU and has been a Chief Investigator with the Centre since its inauguration in 2014. His research interests are in non-linear systems theory with applications in robotics and computer vision.

He wrote the seminal paper providing a clear exposition of non-linear complementary filters on the special orthogonal group for attitude estimation; an enabling technology in the early development of quadrotor aerial robotic vehicles.  He was the first to provide a principled analysis for using optical flow of control of aerial robotic vehicles and was a coauthor on the first experimental paper that demonstrated landing of a quadrotor vehicle on a textured but featureless moving surface.  In 2016, Rob was named a Fellow of the IEEE, recognising his contribution to the control aspects of aerial robotics.

Professor Michael Milford conducts interdisciplinary research at the boundary between robotics, neuroscience and computer vision and is a multi-award winning educational entrepreneur. His research models the neural mechanisms in the brain underlying tasks like navigation and perception to develop new technologies in challenging application domains such as all-weather, anytime positioning for autonomous vehicles. He is also passionate about engaging and educating all sectors of society around new opportunities and impacts from technology including robotics, autonomous vehicles and artificial intelligence. He currently holds the positions of Deputy Director of the QUT Centre for Robotics, Professor at the Queensland University of Technology, Microsoft Research Faculty Fellow and Chief Investigator at the Australian Centre for Robotic Vision.

Michael has or is leading or co-leading projects totalling more than 45 million dollars in research and industry funding for fellowships and team grants from organizations including the Australian Research Council, Microsoft and US Air Force. His papers have won (6) or been finalists (9) for 15 best paper awards including the 2012 ICRA Best Vision paper. His citation h-index is 36, with 6607 citations as of September 2020. Michael has dual Australian-US citizenship and has lived and worked in locations including Boston, Edinburgh and London. He has collaborated with organizations including Harvard University, Boston University, Oxford University, MIT, Google Deepmind, Caterpillar, the US Air Force and NASA’s Jet Propulsion Laboratory.

Jonathan is Professor in Robotics at QUT. His main research interest is in the areas of Field, Medical and Design Robotics and in particular making machines operate autonomously in unstructured or semi-structured environments. He graduated from the University of Southampton, UK, with an Honours degree in Aerospace Systems Engineering in 1991. Jonathan furthered his interest in computer vision while completing a PhD (1991-1994) at the University of Southampton where he also developed skills in parallel computing.

Jonathan joined QUT in 2014 as Professor in Robotics and co-founded QUT’s Medical and Healthcare Robotics team while at the same time co-developed QUT’s capability in the area of Design Robotics with his close collaborator Dr Jared Donovan.

Jonathan is currently the Technical Director of the Advanced Robotics for Manufacturing (ARM) Hub and is the Centre Director of the newly formed ARC Training Centre for Collaborative Robotics in Advanced Manufacturing.  Jonathan regularly appears in the media (radio and TV) and is a writer for The Conversation.

Associate Professor Niko Suenderhauf is a Chief Investigator at the Centre where he leads the Robotic Vision Evaluation and Benchmarking project. As a member of the Executive Committee, Niko leads the Visual Learning and Understanding program at the QUT Centre for Robotics.  Niko conducts research in robotic vision, at the intersection of robotics, computer vision, and machine learning. His research interests focus on scene understanding and how robots can learn to perform complex tasks that require navigation and interaction with objects, the environment, and humans.

Associate Professor Suenderhauf is co-chair of the IEEE Robotics and Automation Society Technical Committee on Robotic Perception and regularly organises workshops at leading robotics and computer vision conferences.  He is member of the editorial board for the International Journal of Robotics Research (IJRR), and was Associate Editor for the IEEE Robotics and Automation Letters journal (RA-L) from 2015 to 2019. Niko served as AE for the IEEE International Conference on Robotics and Automation (ICRA) 2018 and 2020.

In his role as an educator at QUT, Niko enjoys teaching Introduction to Robotics (EGB339), Mechatronics Design 3 (EGH419), as well as Digital Signals and Image Processing (EGH444) to the undergraduate students in the Electrical Engineering degree.

Niko received his PhD from Chemnitz University of Technology, Germany in 2012. In his thesis, Niko focused on robust factor graph-based models for robotic localisation and mapping, as well as general probabilistic estimation problems, and developed the mathematical concepts of Switchable Constraints. After two years as a Research Fellow in Chemnitz, Niko joined QUT as a Research Fellow in March 2014, before being appointed to a tenured Lecturer position in 2017.

Professor Dana Kulić is a Chief Investigator in the Centre. She received a combined B. A. Sc. and M. Eng. degree in electro-mechanical engineering, and a PhD degree in mechanical engineering from the University of British Columbia, Canada, in 1998 and 2005, respectively. From 2006 to 2009, Dana was a JSPS Post-doctoral Fellow and a Project Assistant Professor at the Nakamura-Yamane Laboratory at the University of Tokyo, Japan. In 2009, she established the Adaptive System Laboratory at the University of Waterloo, Canada, conducting research in human robot interaction, human motion analysis for rehabilitation and humanoid robotics.  Since 2019, Dana has been a Professor at Monash University, Australia. Her research interests include robot learning, humanoid robots, human-robot interaction and mechatronics.

Dr Qi Wu is a Senior Lecturer (Assistant Professor) at the University of Adelaide and he is the ARC Discovery Early Career Researcher Award (DECRA) Fellow between 2019-2021. He was awarded a J G Russell Award by Australian Academy of Science. He joined the Centre firstly as a Research Fellow before becoming an Associate Investigator in 2018. He obtained his PhD degree in 2015 and MSc degree in 2011, in Computer Science from University of Bath, United Kingdom. His research interests are mainly in computer vision and machine learning. Currently, he is working on the vision-language problem and he is especially an expert in the area of image captioning and visual question answering (VQA). His attributes-based image captioning model got first place on the MS COCO Image Captioning Challenge Leader Board in October of 2015. He has published several papers in prestigious conferences and journals, such as TPAMI, CVPR, ICCV, ECCV, IJCAI and AAAI.

Qi Wu was appointed as a Chief Investigator within the Centre in March 2020.

Tat-Jun Chin received his PhD in Computer Systems Engineering from Monash University in 2007, which was supported by the Endeavour Australia-Asia Award, and a Bachelor in Mechatronics Engineering from Universiti Teknologi Malaysia in 2004, where he won the Vice Chancellor’s Award. He currently holds the SmartSat CRC Professorial Chair of Sentient Satellites at The University of Adelaide. He is also the Director of Machine Learning for Space at The Australian Institute for Machine Learning. Tat-Jun’s research interest lies in optimisation for computer vision and machine learning, and their application to robotic vision, space and smart cities. He has published more than 100 research articles on the subject, and has won several awards for his research, including a CVPR award (2015), a BMVC award (2018), Best of ECCV (2018), two DST Awards (2015, 2017) and IAPR Award (2019).

Gordon is Executive Dean of QUT’s Science and Engineering faculty and a Professor of Robotics who contributes to the Semantic Vision theme of the Centre. He also provides connections from Semantic Vision into the Vision and Action theme, and contributes to the development of robotic systems in the Centre’s Application areas.

Gordon holds a PhD and a Bachelor of Engineering degree (with honours) in Computer Systems Engineering. He is the President of IEEE Control Systems, Robotics and Automation Queensland chapter, former president of the Australian Robotics and Automation Association and has served in various leadership positions in the RoboCup International Federation. He serves in various editorial positions for leading international robotics journals and conferences. Gordon’s team has designed and constructed more than twenty types of robots, including flying robots, wall-climbing robots, high performance wheeled robots, legged robots, manipulators and a humanoid robot. His robot soccer team, the RoboRoos, have been runners-up three times in the RoboCup World Cup of robot soccer. Gordon’s research is internationally recognised for building practical and useful robots that exploit, explain and expand models of living systems. (Over 2,000 citations and an h-index of 22).

Chunhua Shen is a Professor at School of Computer Science, University of Adelaide. He is also an adjunct Professor of Data Science and AI at Monash University.

Prior to that, he was with the computer vision program at NICTA (National ICT Australia), Canberra Research Laboratory for about six years. His research interests are in the intersection of computer vision and statistical machine learning. He studied at Nanjing University and at ANU and received his PhD degree from the University of Adelaide. From 2012 to 2016, he held an Australian Research Council Future Fellowship. He is Associate Editor (AE) of the Pattern Recognition journal, IEEE Transactions on Circuits and Systems for Video Technology and served as AEs for a few journals including IEEE Transactions on Neural Networks and Learning Systems.

Professor van den Hengel and his team have developed world leading methods in a range of areas within Computer Vision and Machine learning, including methods which have placed first on a variety of international leader boards such as PASCAL VOC (2015 & 2016), CityScapes (2016 & 2017), Virginia Tech VQA (2016 & 2017), and the Microsoft COCO Captioning Challenge (2016).

Professor van den Hengel’s team placed 4th in the ImageNet detection challenge in 2015 ahead of Google, Intel, Oxford, CMU and Baidu and 2nd in ImageNet Scene Parsing in 2016. ImageNet is one of the most hotly contested challenges in Computer Vision.

Nick Barnes is an Associate Investigator in the Centre. He received a PhD in computer vision for robot navigation in 1999 from the University of Melbourne. He was a visiting research fellow at the LIRA-Lab at the University of Genoa, Italy, supported by an Achiever Award from the Queens’ Trust for Young Australians before returning to Australia to lecture at the University of Melbourne, before joining NICTA’s Canberra Research Laboratory, now known as Data61@CSIRO. He became a senior principal researcher and led the Computer Vision Research Group from 2006-2016. Over this period, it grew to be a national research group with more than 25 research staff. In 2016 he moved to ANU part-time, then full-time in 2019.

He is currently an Associate Professor in the Research School of Electrical, Energy and Materials Engineering at ANU.  His research interests include 3D vision, visual saliency, probabilistic weakly-supervised approaches dense prediction and vision processing for prosthetic vision.

Professor Crawford is an Orthopaedic Surgeon with a special interest in lower limb joint replacement.  His principal interests are hip and knee replacement, and knee arthroscopy. Professor Crawford is an internationally recognized expert in the field of hip and knee replacement surgery. He performs approximately 150 hip and 150 knee replacements per year, both in public and private practice. He lectures and teaches surgical techniques both nationally and internationally.

As well as running a clinical practice Professor Crawford has a chair of orthopaedic research at the Queensland University of Technology. In this role he supervises PhD students, a number of post-doctoral researchers and collaborates closely with experts in the field of tissue engineering, cartilage degradation, cartilage mechanics, and clinical orthopaedics. The research in the outcomes of surgery performed under Professor Crawford’s care is an important part of his research practice.

Clinton Fookes is a Professor in Vision & Signal Processing and the SAIVT group (Signal Processing, Artificial Intelligence and Vision Technologies) within the School of Electrical Engineering & Robotics of the Science and Engineering Faculty at QUT. He holds a BEng (Aerospace/Avionics), an MBA with a focus on technology innovation/management, and a PhD in the field of computer vision. Clinton actively researches in the fields of computer vision and machine learning including video surveillance, biometrics, human-computer interaction, signal processing, and medical imaging. Clinton has published over 250 internationally peer-reviewed articles and has attracted over $20M of cash funding for fundamental and applied research from external competitive sources. This includes 10 Australian Category 1 grants funded from the Australian Research Council and the Department of Prime Minister and Cabinet. He serves on the editorial boards for the Pattern Recognition Journal and the IEEE Transactions on Information Forensics & Security. He is also the AI Theme Leader for SmartSat – a $250M Cooperative Research Centre which is building Australia’s space industry. He is a Senior Member of the IEEE, an Australian Institute of Policy and Science Young Tall Poppy, an Australian Museum Eureka Prize winner, and a Senior Fulbright Scholar.

Jason is a Professor at QUT and an Associate Investigator in the Centre in the area of vision and action with application to remote inspection and monitoring. He has expertise is in decision systems for dynamic systems, including robotic and autonomous systems, that can reliably operate in the presence of uncertainty and error. His current research interests include aerial platform autonomy for infrastructure inspection and low signal-to-noise ratio anomalous signal detection with application in aerospace and other domains.

He graduated from ANU with bachelor degrees in science and engineering, before furthering his interest in control systems by completing a PhD at the same institution.

Associate Professor Felipe Gonzalez is an aeronautical engineer with a passion for innovation in the fields of aerial robotics and automation. He is interested in creating aerial robots, drones or UAVs that possess a high level of cognition using efficient on-board computer algorithms using advanced optimization and game theory approaches that assist us to understand and improve our physical and natural world. He is the co-author of several books in UAV based remote sensing and UAV based design based on evolutionary optimization and game strategies and as of 2020 has published over 140 refereed papers. To date he has been awarded $10.3M in chief investigator / partner investigator grants ($6.7M total cash + in-kind contributions). This grant income represents a mixture of sole investigator funding, ARC DP, ARC LIEF, ARC Linkages, international, multidisciplinary collaborative grants and funding from industry.

In 2019 and 2020, he received a grant from Microsoft via the Microsoft AI for Earth program which is designed to use technology to help mitigate and adapt to challenges such as climate change and the catastrophic loss of biodiversity and the impact of marine debris in costal and reef ecosystems.  He is also a CI on the “Airborne ultrafine particles in Australian cities: sources, effects and mitigation” Linkage project.

Dr. Mehrtash Harandi is a Senior Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University. He is also a contributing research scientist in the Machine Learning Research Group (MLRG) at Data61/CSIRO and joined the Centre as an Associate Investigator in September 2018.

Before joining Monash University, he spent 5 years at the Canberra Research Laboratory-NICTA, working with Professor Richard Hartley and Professor Richard Nock.  With broad interests in machine learning, computer vision, and signal processing, he develops algorithms and mathematical models to equip machines with intelligence. He holds a Ph.D. and Master’s degree in Artificial Intelligence from the University of Tehran.

Mehrtash received $275K from NFRFE to develop AI architectures for reliable prediction and optimization of advanced manufacturing processes, $555K from Data61-CSIRO for the project “Trustworthy Learning from Limited Data”, and awarded $385K from the ARC for the discovery Project “Semantic Vectorization: From Bitmaps to Intelligent Representations” . His 2019 papers have been accepted into CVPR, ECCV, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and IEEE Transactions on Image Processing (TIP). In his free time, Mehrtash enjoys playing video games.

Hanna Kurniawati is a Senior Lecturer at ANU and a Computer Science (CS) Futures Fellow at the Research School of Computer Science, ANU. Her research focuses on robust decision making and robot motion planning. She has been working on algorithms to enable robust decision theory to become practical software tools. Such software tools will enable robots to design their own strategies, such as deciding what data to use, how to gather the data, and how to move for accomplishing various tasks well, despite various modelling errors and types of uncertainty, and despite limited to no information about the system and its operating environment.

Dr Chris Lehnert is a Robotics Lecturer within the Robotics and Autonomous Systems (RAS) discipline at QUT. His research interests lie in the development of novel methods for robotic manipulation in real world and challenging environments. A particular focus of his research has been on enabling robots to perform autonomous harvesting operations in horticulture. He led a small team of PhD students, post-doctoral fellows and engineers in developing new robotic technologies for horticulture through the Strategic Investment in Farm Robotics (SIFR) program at QUT.

Luis Mejias is an Associate Professor and Mechatronics study area coordinator at QUT and was the Deputy Director of the QUT Australian Research Centre for Aerospace Automation (ARCAA). He has a Bachelor of Electronics Engineering, a Master of Telecommunication, a PhD in Robotics and Automation and a Graduate Certificate in Higher Education.

He specialises in unmanned aerial systems covering many aspects related to this field such as navigation, control theory, path planning, image processing and vision-based control.  His research is related to the development of automation technologies that enable unmanned aircraft to perform tasks with minimal user supervision. He is particularly motivated by the development of enabling technologies that allow seamless usage of unmanned aircraft in society.

He is currently investigating machine learning approaches for automatic analysis of drone imagery and design, modelling and control of tilting rotors.

Dr Miaomiao Liu is a Lecturer and an ARC DECRA Fellow in the College of Engineering and Computer Science at ANU. She was a Research Scientist at Data61/CSIRO from 2016-2018. Prior to that she was a postdoctoral research fellow and researcher in NICTA. She received her PhD degree in November 2012 from the University of Hong Kong. Her research interests include 3D vision, 3D reconstruction and 3D Scene Modeling and Understanding, and Understanding Human Pose and Body in 3D. She joined the Centre as an Associate Investigator in July 2018.

Thierry is an Associate Professor in Robotics and Autonomous Systems and Mining3 Chair in Mining Robotics at QUT and a Chief Investigator at the QUT Centre for Robotics. Prior to joining QUT, he was a Research Fellow at the Australian Centre for Field Robotics (ACFR), The University of Sydney, and also worked at NASA Ames Research Centre in California. He received his PhD degree from the University of Toulouse (INPT), France, with a thesis prepared at LAAS-CNRS.

Thierry is Associate Editor for the IEEE Robotics and Automation Letters (RA-L) and has served regularly as an Associate Editor for the IROS and ICRA conferences. He was the Local Arrangement Chair for ICRA, 2018 in Brisbane, and is currently Vice-Chair of the Robotics and Automation/Control Systems Society (RAS/CS) for the IEEE Queensland Section.

His current research interests focus on mobile robotics and autonomous systems in challenging environments, and include: resilient perception, multimodal sensing, sensor data fusion, robotic vision, mapping and localisation, and terrain traversability estimation for unmanned ground vehicles.  Thierry was a Research Affiliate with the Centre before becoming an Associate Investigator in May 2018.

Dr Liang Zheng is a Lecturer in the Research School of Computer Science at ANU. He holds a Computer Science Futures Fellowship from ANU and a DECRA Fellowship from the ARC. He obtained both his B.Sc (2010) and PhD (2015) from Tsinghua University. He has published over 50 papers in highly selected venues such as TPAMI, IJCV, CVPR, ECCV and ICCV. He makes effective attempts in exploring large-scale object re-identification, and his works are positively received by the community. Dr Zheng received the Outstanding PhD Thesis from Chinese Association of Artificial Intelligence and the Early Career R&D Award from D2D CRC, Australia, and was named as Top-40 Early Achievers by The Australian. His research has been featured by the MIT Technical Review and several papers have been selected into computer science courses at Stanford University and University of Texas, Austin. He serves as an Area Chair/Senior PC in CVPR 2021, ECCV 2020, ACM Multimedia 2020, AAAI 2020, etc, and organized tutorials and workshops at ECCV 2018, CVPR 2019, ECCV 2020 and CVPR 2020.

Liang joined the Centre as an Associate Investigator in 2019.

Professor Javen Shi is the National Lead and Chief Scientist of Smarter Regions Cooperative Research Centre (CRC) bid (~$160M over 10 years), Director in Advanced Releasing and Learning, Australian Institute for Machine Learning (AIML), and Founding Director of Probabilistic Graphical Model Group at the University of Adelaide.

He has transferred his research to many domains ranging from agriculture, mining, sport, manufacturing, automated trades, computer vision, water utility, health, education and others. One of his very recent achievements is that he formed the team DeepSightX recently won 2nd place in a global competition to predict mineral deposits in June 2019. One thousand people from 62 countries had entered. In merely 3 months, his team outperforms professional companies with over 40 years experience in mining.  In September, 2019 he and his team helped MIDDOL Pty Ltd win the Golden Prize (1st place) at SAIC Volkswagen’s Logistics Innovation Day in Shanghai. The prize was for the development of MIDDOL’s digital factory, a dashboard that can monitor the processes taking place on the factory floor powered by AI beating VW’s suppliers around the global.  He and his team were also finalists in SA Department of Energy and Mining’s Gawler Challenge 2020 (over 2k participants from 100+ countries) with the team’s work being considered as “The most innovative modelling” by the judging panel.

Anthony is an Associate Professor at the University of Adelaide’s School of Computer Science. He holds a Bachelors of Mathematics and Computer Science (Hons) from the University of Adelaide and received his PhD from the University of Cambridge in 2001. Anthony’s interest areas include computer vision: that is, the problem of teaching computers how to see. He is interested in tracking lots of people or objects at once, and in building 3D models from video. (Over 2,400 citations and an h-index of 24).

David holds a BSc (Applied Maths and Physics) and Diploma of Education, from The Flinders University of SA, a Grad. Diploma Computing from RMIT and a PhD in Computer Science from La Trobe University.

His appointments include Lecturer (1988-1991) at La Trobe University Dept. of Computer Science and Computer Engineering; Senior Lecturer (1992-2000), Associate Professor (2001-2005), and Professor (2006-2008) at Monash University Dept. Electrical and Computer Systems Engineering; Professor (2008-) at The University of Adelaide School of Computer Science. He also was a member of the Australian Research Council College of Experts (2008-2010).

Jochen Trumpf received the Dipl.-Math. and Dr. rer. nat. degrees in mathematics from the University of Wuerzburg, Germany, in 1997 and 2003, respectively. He is currently the Director of the Software Innovation Institute at ANU.

His research interests include observer theory and design, linear systems theory and optimisation on manifolds with applications in robotics, computer vision and wireless communication.

Timothy D. Barfoot received the B.A.Sc. degree in engineering science from the University of Toronto in 1997 and a PhD degree in aerospace science and engineering in 2002. He is a Professor with the University of Toronto Institute for Aerospace Studies (UTIAS) in Canada where he works in the areas of guidance, navigation, and control of mobile robots in a variety of applications. Tim is interested in developing methods to allow mobile robots to operate over long periods of time in large-scale, unstructured, three-dimensional environments, using rich on board sensing (e.g., cameras and laser rangefinders) and computation.

He is on the Editorial Boards of the International Journal of Robotics Research and the Journal of Field Robotics. Tim was on sabbatical from the University from August 2017 to April 2019, and worked as Director, Autonomous Systems at Apple, Cupertino in California. He joined the Centre as a Partner Investigator in 2019.

Francois Chaumette was born in Nantes, France and graduated from Ecole Nationale Supérieure de Mécanique, Nantes, in 1987. Francois received the Ph.D. degree and “Habilitation à Diriger des Recherches” in Computer Science from the University of Rennes, France, in 1990 and 1998 respectively.

Since 1990, Francois has been with Inria in Rennes. His current position is Senior Research Scientist (“Directeur de Recherche”). Francois was the head of the Lagadic group, a common group to Inria Rennes Bretagne Atlantique and Irisa. He is now a member of the Rainbow group.

François is a Fellow of the IEEE and serves on the editorial board of the International Journal of Robotics Research and as Editor of the IEEE Transactions on Robotics. He was a Founding Editor of the IEEE Robotics and Automation Letters (2016-2019).

Francois’ research interests include visual serving, active vision, robotics, and computer vision.

Andrew holds the position of Professor of Robot Vision at the Department of Computing and leads the Robot Vision Research Group and the Dyson Robotics Laboratory at Imperial College, London.  He is working in computer vision and robotics: specifically his main area of research has concerned SLAM (Simultaneous Localisation and Mapping) using vision, with a particular emphasis on methods that work in real-time with commodity cameras. This is technology that can provide low-cost and robust real-time localisation and scene understanding for domestic robots, humanoid robots, wearable sensors, game interfaces or other devices.

He has a longstanding relationship with Dyson Ltd. in the UK, having worked for them as a consultant on robot vision technology since 2005. This collaboration led to the creation in 2014 of the Dyson Robotics Laboratory at Imperial College of which he is the Director and founder. (Over 9,500 citations and an h-index of 36)

Frank will contribute to the Algorithms and Architecture theme of the Australian Centre for Robotic Vision and is an Associate Professor in the School of Interactive Computing at the Georgia Institute of Technology. He is also affiliated with the RIM@GT center and is well known for contributions to Robotics and Computer Vision.

He attended the Catholic University of Leuven, in Belgium, from 1984 to 1989 and received a degree Electrical Engineering. He attended the Case Western Reserve University from 1993 to 1995 and received a master’s degree in Computer Science and Engineering. In 1995 he began studying at Carnegie Mellon University where he worked as a Research Assistant and received his Ph.D. degree in Computer Science in 2001. In August 2001 he joined the faculty of Georgia Institute of Technology.

Frank holds interests in the areas of robotics and computer vision, including Bayesian inference and Monte Carlo approximations and how to attain efficiency with approximation methods (Over 24357 citations and an h-index of 66).

Seth Hutchinson is Professor and KUKA Chair for Robotics in the School of Interactive Computing at the Georgia Institute of Technology, where he also serves as Associate Director of the Institute for Robotics and Intelligent Machines. His research in robotics spans the areas of planning, sensing, and control. He has published more than 200 papers on these topics and is co-author of the books “Principles of Robot Motion: Theory, Algorithms, and Implementations,” published by MIT Press, and “Robot Modelling and Control,” published by Wiley. Seth is the president of the IEEE Robotics and Automation Society (2020-2021), a Fellow of the IEEE, serves on the editorial board of the International Journal of Robotics Research, and chairs the steering committee of the IEEE Robotics and Automation Letters. He was Founding Editor-in-Chief of the IEEE Robotics and Automation Society’s Conference Editorial Board (2006-2008) and Editor-in-Chief of the IEEE Transaction on Robotics (2008-2013). Seth is an Emeritus Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, where he was Professor of ECE until 2018, serving as Associate Head for Undergraduate Affairs from 2001 to 2007. He received his Ph.D. from Purdue University in 1988. He joined the Centre as a Partner Investigator in 2019.

Paul Newman is the BP Professor of Information Engineering at the University of Oxford. He is Director of the Oxford Robotics Institute (ori.ox.ac.uk) within the Department of Engineering Science. The ORI enjoys a world leading reputation in mobile autonomy, developing machines which roll, walk, poke, swim and fly in the real world. His focus lies on pushing the boundaries of navigation and autonomy techniques in terms of both endurance and scale. In 2014 he founded Oxbotica; a spinout company focused on Mobile Autonomy. He was elected fellow of the Royal Academy of Engineering and the IEEE with a citation for outstanding contributions to robot navigation.

Marc contributes to the Robust Vision and Vision and Action theme of the Australian Centre for Robotic Vision and is a full professor at the Department of Computer Science of ETH Zurich. He leads the Computer Vision and Geometry lab. Marc is also Director of Science at Microsoft and leads a team of computer vision researchers working on mixed reality and robotics.

He obtained his PhD from the KU Leuven in Belgium. His main area of research is computer vision. One of his main research goals is to develop flexible approaches to capture visual representations of real world objects, scenes and events. Marc was General Chair of ICCV 2019 and ECCV 2014 and Program Chair for CVPR 2009. He is an IEEE Fellow and has over 32,000 citations and an h-index of 93.

Phillip completed his PhD at the Robotics Research Group, University of Oxford. He left Oxford to work for six years as a research scientist for Microsoft Research, first in Redmond USA in the Vision Technology Group, then in Cambridge UK founding the vision side of the Machine learning and perception group. He is now a Professor at Oxford University. He has founded the company Oxsight and is Chief Scientific Advisor to 5AI.

Akansel Cosgun is a Research Fellow with the Centre at Monash University. He holds a PhD in Robotics from Georgia Institute of Technology.

Akansel is interested in developing robotic systems that can do useful tasks in the real world. His research interests include robot manipulation, machine learning, and human-robot interaction.

Ajanthan joined the Centre as a Research Fellow in January 2019. Prior to this, he was a Postdoctoral Research Fellow at the Torr Vision Group at the University of Oxford from June 2017. Ajanthan obtained his PhD from ANU in May 2017 and he was primarily supervised by Professor Richard Hartley. During his PhD he was also a member of the Analytics group at Data61, CSIRO, Canberra. He holds a Bachelor’s degree in Electronic and Telecommunication Engineering from the University of Moratuwa, Sri Lanka. Ajanthan has broad interests in Graphical Models, Optimization Algorithms and Machine Learning.

He is part of the Centre’s Learning research project team.

David is a research fellow with the ACRV whose long-term goal is to see robots able to cope with the unpredictable real world.

He began this journey with his PhD on adaptable systems for autonomous weed species recognition as a part of the strategic investment in farm robotics (SIFR) team. Since April 2018 he has worked as part of the robotic vision challenge group within the ACRV and QUT Centre for Robotics designing challenges, benchmarks, and evaluation measures that assist emerging areas of robotic vision research.

As a part of the robotic vision challenge group, he has assisted in defining the field of probabilistic object detection (PrOD), creating the probability-based detection quality (PDQ) evaluation measure, developing a PrOD robotic vision challenge and developing a scene understanding robotic vision challenge.  He now looks forward to solving these problems and giving the world robust and adaptable robotic vision systems.

Dylan joined the Centre as a Research Fellow at the ANU in August 2018. Previously, he was a PhD student at ANU and Data61/CSIRO, where he worked on geometric vision problems, and a research assistant in the Cyber-Physical Systems group of Data61/CSIRO, where he worked on Resource Constrained Vision.  Dylan received a BE in Mechatronic Engineering from the University of New South Wales. He has broad research interests within computer vision and robotics, including geometric vision and human-centred vision. In particular, he has investigated geometric sensor data alignment problems, such as camera localisation, simultaneous localisation and mapping, and structure from motion.

He is currently looking at the problems of recognising, modelling, and predicting human actions, poses and human-object interactions with a view to facilitate robot-human interaction as part of a Centre project.

Itzik joined the Centre as a Research Fellow at the ANU node in July 2019. Previously, he was a PhD student at Technion Israel Institute of Technology where he worked on “Classification, segmentation, and geometric analysis of 3D point clouds using deep learning” under the supervision of Professor Anath Fischer and Michael Lindenbaum. Itzik completed his Bsc. Cum Laude in 2008 and his Msc. Summa Cum Laude in 2015 (Mechanical Engineering, Technion). His research interests lie at the intersection of robotic perception, 3D computer vision, and geometric analysis, usually using 3D point cloud data.

During his time at the Centre, he played a key role in the IKEA assembly dataset team, joined the RVSS organizing committee and presented DeepFit, a novel surface fitting method, at ECCV 2020 as an oral presentation./  His mission is to make beautifully practical and accessible 3D data algorithms to change the world.

Suman Bista joined the Centre in 2017 as a Research Fellow based at QUT. He worked on visual navigation and recognition for the Pepper humanoid robot and was supervised by Centre Director, Professor Peter Corke. His research interests include Visual Navigation, Visual learning, Robotics Vision and Optimisation.  In August 2019, Suman joined the Centre’s Robotic Vision Evaluation and Benchmarking Project, continuing as a Research Fellow in this role.  Suman completed his PhD titled “Indoor Navigation of Mobile Robots based on Visual Memory and Image-Based Visual Servoing” in 2016 with the Lagadic Group, INRIA Rennes Bretagne Atlantique, Rennes, France under the supervision of Dr Francois Chaumette and Dr Paolo Robuffo Giordano.

He also holds a Masters in Computer Vision from University of Burgundy, France (2013) and a Bachelor in Bachelors in Electronics & Communication Engineering from  Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal (2009).

Yasir Latif did his bachelors at Ghulam Ishaq Khan Institute of Engineering Science and Technology in  Topi, Pakistan and his master in Communication Engineering from Technical University of Munich (TUM), Germany. After that, he pursued his PhD at University of Zaraogoza, Spain under the supervision of Professor Jose Neira. He visited Imperial College London and Massachusetts Institute of Technology for short research stays during that period. The main theme of his doctoral thesis was reliable loop closure detection and verification for the Simultaneous Localization and Mapping (SLAM) problem.

His interests include SLAM, Computer Vision and looking for the ultimate question.  Yasir has received various awards for his research including best student paper at ICRA 2015 and DICTA 2019.

Yonhon joined the Centre as a Research Fellow at the ANU in January 2019. He works on the Fast Visual Motion Control project under the supervision of Professor Robert Mahony. He completed his PhD degree at ANU under the supervision of Associate Professor Jonghyuk Kim, Professor Brad Yu and Professor Hongdong Li. He also obtained his Bachelor of Engineering (R&D) at ANU and was awarded a University Medal.

Yonhon’s research interests include equivariant observer, 3D computer vision and robotics. He enjoys playing badminton, fishing and cooking during the weekend.

Dr Nicole Robinson is a Research Fellow at Monash University and joined the Centre at the QUT in 2018. She has led clinical trials and experimental studies involving the use of robots in human-robot interaction. She has also conducted research in the healthcare field, including the translation of psychotherapeutic and healthcare programs to be delivered by a social robot. Nicole has disseminated her research and knowledge through television, radio, print articles and festival stages (Tedx, SCOPE TV, ABC Live Radio and News, Channel 7 & 9 News, IBT, MIT Technology Review, Phys.Org, Gizmodo, World Science Festival, Robotronica). Nicole left Brisbane for Melbourne in 2020 and has a cross appointment between the Faculty of Engineering and the Turner Institute for Brain and Mental Health at Monash University. She is affiliated with the Department of Electrical & Computer Systems Engineering and the School of Psychological Sciences.

Fatemeh joined the Centre as a Research Fellow at ANU in January 2019. Prior to that, she was a PhD student at ANU and Data61-CSIRO, working on weakly-supervised semantic segmentation of images and videos. Within the Centre, she is now working on the problem of video understanding and latent-variable generative models, with the focus on multiple object tracking, human motion prediction, and video activity analysis.

Michele Sasdelli’s original background is in physics. He has studied and worked in five countries both in academic and industry environments. He worked as a Postdoctoral Researcher at the Astrophysics Research Institute in Liverpool, focusing on deep learning applications. He was a research scientist at Cortexica Vision Systems, an AI company in London working on deep learning based algorithms for computer vision.

His interests lie in fundamental machine learning questions for computer vision and astrophysics. He is a science enthusiast and firmly believes in cross-feeding between different research fields. He joined the Centre in 2018 as a Research Fellow at the University of Adelaide working in learning theory for deep learning.  He is now a member of AIML.

Haoyang joined the Centre as a Research Fellow in December 2018 after completing his PhD at ANU and Data61 CSIRO in July 2018. During his PhD Haoyang worked predominantly with Associate Professor Xuming on visual object detection and segmentation. His research interests include computer vision and its application to robots. He is now working on the Centre Robotic Vision Evaluation & Benchmarking project which will develop new standardised benchmark tasks, evaluation metrics, and competitions for robotic vision.

Ben studied undergraduate courses in Computer Science and Mechatronics Engineering at Monash University before then completing a PhD with the ACRV in the area of Computer Systems Engineering. Ben’s research has principally focused on developing and understanding efficient methods for the representation and retrieval of high dimensional big data.

In 2020 Ben joined CSIRO Data61 as a Postdoctoral Fellow in the Spatiotemporal Activity within the Machine Learning and Artificial Intelligence Future Science Platform. Ben’s current research interests include self-supervised learning, multi-modal representation learning, human-in-the-loop active learning and non-linear dimension reduction.

Ben completed his PhD in August 2019 at the Centre at Monash University, under the supervision of Tom Drummond. He continued his work at the Centre as a Research Fellow until July 2109. Ben’s research focuses primarily on deep learning, with particular interest in the problems of metric learning, novelty detection, open set recognition, active learning and generative models.

Dr Jürgen “Juxi” Leitner is co-founder of LYRO Robotics, a startup creating the brain, the eyes, and the hands for smart robotic systems. LYRO Machine Intelligence enables robots to pick and pack a large range of objects, thanks to a tight integration of computer vision and robotic manipulation. It powers the world’s first general fresh produce, pattern-packing robotic system that LYRO developed and deployed in the last year.

Juxi is associated with QUT through student supervision and project management at the interaction of vision, robotics, and manipulation. Before starting LYRO he led the Manipulation and Vision project within the Centre, most notable he was leading Team ACRV into victory at the 2017 Amazon Robotics Challenge team.

Juxi is a globally known presenter and regular guest speaker at conferences across the world. He received his PhD from the Università della Svizzera Italiana for his work on making the iCub humanoid robot see and interact with the world while working at the Dalle Molle Institute for AI (IDSIA). Further experience includes working at the European Space Agency’s Advanced Concepts Team, a Joint European Master in Space Science and Technology (SpaceMaster) and a BSc degree in Computer Science from the Vienna University of Technology.

Pulak received a PhD in computer science from the Indian Statistical Institute (ISI), Kolkata, India, in 2014. He was a postdoctoral researcher with the University of Adelaide, from September 2013 to February 2016 and again from September 2018. He has spent two years (2016-2018) at Toshiba Research Europe, Cambridge UK before joining back at the University of Adelaide. His research interests include image processing, computer vision and machine learning. He joined the Centre in 2018 and is currently leading a project on 3D scene graph generation.

Bohan joined the Centre as a Research Fellow after completing his PhD at the University of Adelaide in March 2018, supervised by Chief Investigators Chunhua Shen and Ian Reid.  He is currently a lecturer with the Faculty of Information Technology at Monash University.  His research interest is in compressing and accelerating deep neural networks for resource constraint devices. And he also focuses on a wide span of applications in Computer Vision. He completed his bachelor degree in Electrical Engineering in July, 2014 at Dalian University of Technology, China. During his undergraduate study, Bohan worked with Prof. Huchuan Lu. In his spare time, Bohan is a music amateur and has been playing piano since 4 years old.

Hui Li completed her PhD in 2018 at The University of Adelaide under the supervision of Chief Investigator Chunhua Shen and Associate Investigator Qi Wu. She received a Dean’s Commendation for Doctoral Thesis Excellence. Hui’s research interests include visual question answering, text detection and recognition, car license plate detection and recognition, and also deep learning techniques. She became a Research Fellow with the Centre in July 2018.

Wei Liu is a postdoctoral research fellow at The University of Adelaide working with Chief Investigator Ian Reid. Wei received his B.E degree from Xi’an Jiaotong University and Ph.D. degree from Shanghai Jiao Tong University in 2012 and 2018, respectively. His research interests mainly focus on image filtering in low-level computer vision and deep learning-based monocular SLAM systems.

Saroj started as a PhD researcher at the University of Adelaide, supervised by Chief Investigator Ian Reid and Research Fellow Ravi Garg. His research interests lie at the intersection of visual 3D reconstruction, semantic scene understanding, and deep learning. His PhD research primarily explored the benefits of deep learning on top of standard geometric models for visual 3D reconstruction. He is continuing his work in 2018 as a Research Fellow based at the University of Adelaide.

Xin Yu was a Research Fellow at ANU where he also received his PhD under the supervision of Professor Richard Hartley, Fatih Porikli and Basura Fernando. He also obtained a PhD from Tsinghua University, China, under the supervision of Professor Li Zhang.

Xin is now a lecturer at the University of Technology Sydney.

Rui Zeng joined the Centre as a research fellow at Monash University in 2019 after completing his PhD at the QUT. At Monash, he was working on the visual odometry project under the supervision of Chief Investigator Tom Drummond.

Rui’s research interests include 3D computer vision and deep learning. He enjoys playing badminton and basketball during the weekend.

He left the Centre in March 2020 to take up a postdoctoral research associate position with the University of Sydney.

Yan completed his PhD titled “Advances in Decision Forests and Ferns with Applications in Deep Representation Learning for Computer Vision” in 2019 under the supervision of Chief Investigator Professor Tom Drummond. During his PhD, his research focused on a family of learning algorithms categorised as ensemble learning methods. His work involved investigating methods for incorporating decision forests and decision ferns within deep learning frameworks and applying them to computer vision.

He then joined the Centre as a Research Fellow in June 2019 and his current research is focused on solving problems in machine perceptron using learning approaches such as Generative Adversarial Networks and Reinforcement Learning for navigation and mapping within the Learning project of the Centre.

Ravi Garg is an Associated Research Fellow in the Centre and has been a senior research associate at the Australian Centre for Visual Technologies at The University of Adelaide since April 2014. He is working with Professor Ian Reid on his Laureate Fellowship project named “Lifelong Computer Vision Systems”. Prior to joining University of Adelaide, he finished his PhD at the Queen Mary University of London under the supervision of Professor Lourdes Agapito where he worked on Dense Motion Capture of Deformable Surfaces from Monocular Video.

His current research interest lies in building learnable systems with little or no supervision which can reason about scene geometry as well as semantics. He is exploring how far the visual geometry concepts can help current deep neural network frameworks in scene understanding.

Ajay Pandey holds a PhD in Physics from University of Angers, France and is currently a Senior Lecturer in the School of Electrical Engineering and Robotics at QUT. He has been a recipient of the prestigious Australian Renewable Energy Agency (ARENA) Research Fellowship and QUT Vice Chancellor’s Senior Research Fellowship. His interdisciplinary research group at QUT specialises in advanced materials and optoelectronics based sensor development approaches to application areas including robotics, bionics, neuro-engineering, energy and environment. He also serves as an Editorial Board Member of the Scientific Reports, an open access journal published by Springer Nature.

Dr. Zongyuan Ge is a full-time Senior Lecturer/Research Fellow employed by Monash University Vice Chancellor and Provost Office and Faculty of Engineering with specific interest and expertise in Medical AI development. He has a strong background in statistical analysis, machine learning, computer vision and healthcare AI research. So far, he has published more than 40 peer-reviewed publications and patents, which are first/senior author. Only 2 years post PhD his h-index is 18 with 1603 citations. He is the leader of the Monash Medical AI group (www.mmai.group) and supervises 12 PhD students, 2 Postdocs, 8 Research Master/Bachelor students and 4 machine learning engineers.

He has led and contributed to six international research projects in the areas of dermatology, ophthalmology and radiology with major industry companies like IBM Watson Health, medical AI company Airdoc and medical service provider Molemap. These findings have been translated into health products and services for clients such as Specsavers and BUPA. Zongyuan was selected as one of the 200 Most Qualified Young Researchers in Computer and Mathematics by the Scientific Committee of the Heidelberg Laureate Forum Foundation in 2017, IBM Scientific Research Accomplishment Award and IBM Manager Choice Award in 2017, and received Monash Exceptional Achievement Award 2019.

Álvaro received his BEng (2008) and MSc (2011) in Computer Science from the Universidad de Chile, and his PhD in Computer and Mathematical Sciences from the University of Adelaide in 2016. Since May 2016, he has been a Research Associate at the same university. He is interested in robust estimation and optimisation methods for geometric problems in computer vision, especially on problems involving rotations. His research interests include SLAM, structure from motion, quasi-convex optimisation, consensus set maximisation, rotation search, rotation averaging, point cloud registration, and machine learning. He joined the Centre as a Research Affiliate in 2019.

Anjali is a strategic and lateral thinking life sciences scientist and a medical technologist, actively embracing novel technologies by working at the intersection of medicine, engineering and design to solve medical challenges. Anjali is an Advance QLD Research Fellow and the Deputy Director of the QUT’s Centre for Biomedical Technologies to assist catalyze new ideas with industry partners in the health domain. Anjali is also a Co-founder of an Ophthalmic Technology Start-up Medical Device Company.

Anjali has a PhD in Biology and a degree in Medical Technology. Anjali has experience in the fields of medical robotics, biochemistry, optics, medical device development, orthopaedics and design. She has research experience in the hospital and clinical setting and the ethical conduct of research in compliance with the Australian Code for the Responsible Conduct of Research.

As a promising innovator to shape the coming decades, MIT Technology Review selected Anjali as one of the 2018 Asia Pacific, Top 10 Innovators under 35. Anjali won a 2017 Tall Poppy Science Award aimed to recognize the achievements of Australia’s outstanding scientific researchers and communicators.

Anton Milan (né Andriyenko) was a Senior Research Fellow at the Australian Centre for Visual Technologies (ACVT) at the University of Adelaide, Australia. He received his Diploma (~MSc) degree in Computer Science from the University of Bonn, Germany in 2008 and his PhD from TU Darmstadt, Germany in 2013. He had previously worked as a software developer in the computer graphics industry. Anton serves regularly as a reviewer for various computer vision conferences and journals and organises workshops on people tracking. His research interests include semantic segmentation, human pose estimation and multiple object tracking.

Anton is now a Senior Applied Scientist at Amazon, Berlin doing research in machine learning, computer vision and and robotics.

Ben was an Associate Professor at QUT and a Chief Investigator with the Centre. He left Australia in September 2016 to take up the role of Director of Projects at Oxbotica where he has helped grow the company from startup to scaleup in self-driving vehicles across all domains. In September 2018, he became the VP of Technology. Ben continues his connection with the Centre as a Research Affiliate.

Cesar finished working with the Centre as a Research Fellow in December 2015. He is currently a senior researcher in the Autonomous Systems Lab at ETH Zurich, a partner organisation.

Cesar completed his PhD at the University of Zaragoza in 2011. His main research interest lies in the interception of perception and learning in robotics. He is particularly interested in how to provide machines the capability of understanding this ever changing world through the sensory information they can gather. He has worked intensively on Robotic Scene Understanding, both geometry and semantics, covering Semantic Mapping, Data Association and Place Recognition tasks, Simultaneous Localization and Mapping problems, as well as persistent mapping in dynamic environments.

Dr Chris McCool received his PhD with the Speech, Audio, Image and Video Technologies (SAIVT) group, QUT, Australia in 2007. He worked for fours years as a researcher at the Idiap Research Institute developing state-of-the-art face recognition techniques capable of running on mobile phones. He subsequently joined NICTA and then QUT as a Researcher for Environmental Computer Vision problems (currently for Agricultural Robotics). He has a particular interest in fine-grained (species level) classification, biometrics, computer vision and pattern recognition.

Chris left Australia in October 2018 to take up the position of full Professor at the University of Bonn in Germany.

Dr Chuong Nguyen is a senior research scientist at the Imaging and Computer Vision (ICV) Research Group, part of the Cyber-Physical Systems Research Program at CSIRO’s Data61 Business Unit. From 2015 to 2017, he was an ACRV’s research fellow based at ANU, and still maintains his connection with the Centre as a Research Affiliate.

Chuong held research positions at Monash University in 2010, CSIRO CMIS in 2011 and Australian National University in 2014 after he obtained his PhD from Monash University (Australia) in 2010, MEng from Ritsumeikan University (Japan) in 2003 and BEng from Ho Chi Minh City University of Technology (Vietnam) in 2001. He was a visiting scientist at Johns Hopkins University (US) in 2004, and Microsoft Research (UK) in 2012.

Chuong has extensive experience in flow visualisation & measurement, microscope imaging, nuclear imaging, and 3D imaging. His research interests include mixed reality, computer vision, and machine learning. He has recently participated and led projects in medical, agriculture, supply chain, smart vehicles, and smart manufacturing.

Donald Dansereau is a senior lecturer at the University of Sydney and a Research Affiliate of the Australian Centre for Robotic Vision. His group develops new imaging and perception technologies to help robots see and do.

Dr. Dansereau’s pioneering research helped establish the field of light field image processing, and attracted a Governor General’s Gold Medal in 2004. His industry work has included physics engines for video games, computer vision for microchip packaging, and chip design for automated electronics testing. In 2014 he completed a PhD in plenoptic signal processing for underwater robotics at the Australian Centre for Field Robotics, University of Sydney, and joined the Centre as a Research Fellow. Following a postdoctoral appointment at Stanford in 2016, he took up his present role, where he continues to develop new ways for robots to see the world.

In ongoing collaborations with Centre researchers, Donald is exploring the joint design of optics, algorithms, and robotic embodiments. Specific applications are in all-weather driving, medical imaging, and robotic perception and control around transparent objects.

Thanuja completed a Bachelor of Computer Systems Engineering at Monash University and graduated with First Class Honours. He started his PhD at Monash in Computer Vision and was working on Simultaneous Localization and Mapping and using Deep Learning to improve reconstruction of the world.

Thanuja graduated in 2018 and joined the Centre as a Research Fellow. He left the Centre in March 2019 to take up a position as a Deep Learning Engineer at Sentient Vision Systems in Melbourne. He currently works as an AI Scientist at Oracle Corporation. He became a Research Affiliate with the Centre in September 2019.

Viorela Ila was a Research Fellow with the Centre at ANU. Her research interests span from low-level image processing, parallel architectures, robot vision to advanced techniques for simultaneous localization and mapping (SLAM) and 3D reconstruction based on cutting-edge computational tools such as graphical models, modern optimization methods and information theory.

Viorela received an Engineering degree in Industrial Engineering and Automation from the Technical University of Cluj-Napoca, Romania, in 2000 and a PhD in Information Technologies from the University of Girona, Spain, in 2005. She joined the Robotics group at the Institut de Robótica i Informàtica Industrial, Barcelona, Spain where she led two Spanish national projects and participated in URUS EU FP7 project. In 2009 she received a MICINN/FULBRIGHT post-doctoral fellowship which allowed her to join the group of Professor Frank Dellaert at College of Computing, Georgia Tech, Atlanta US. In 2010, she joined LAAS-CNRS, Toulouse, France to work in the ROSACE project founded by RTRA-STAE. Between 2012 and 2014 she was with Brno University of Technology in Czech Republic working in three EU and one national projects.

Viorela left the Centre in December 2018. She has taken up the position of Senior Lecturer with the Sydney Institute for Robotics and Intelligent Systems (SIRIS). She continues her connection with the Centre as a Research Affiliate.

Laurent is an Associate Professor with the School of Information Science and Technology at ShanghaiTech, in Pudong Shanghai. Prior to this, he was an Associate Investigator with the Centre and a senior researcher and lecturer at ANU. He completed his PhD at ETH rZurich and continues his connection with the Centre as a Research Affiliate.

Laurent’s research interests include visual odometry/SLAM and structure from motion with single and multi-camera systems, as well as the efficient solution of the more fundamental, underlying algebraic geometry problems. He is the main author of the open-source fameworks OpenGV and polyjam.

Vincent Lui was a PhD Researcher and then Research Fellow with the Centre based at Monash University. Vincent’s research investigated the problem of camera localization. He looked at different ways of performing pose estimation and developed a few efficient and robust techniques for pose estimation in monocular visual odometry and SLAM problems.

In April 2018, Vincent left the Centre to take up the position of Software Engineer at Sentient Vision Systems in Melbourne. He became a Centre Research Affiliate in September 2019.

Associate Professor Mark McDonnell is Principal Investigator of the Computational Learning Systems Laboratory (www.cls-lab.org) at University of South Australia. His research interests are primarily in machine learning, with a focus on computer vision and applications.

Liao Wu received his B.S. and PhD in mechanical engineering from Tsinghua University in 2008 and 2013, respectively. He worked as a Research Fellow in National University of Singapore from 2013 to 2015. He joined QUT as a Vice-Chancellor’s Research Fellow in 2016 and joined the medical and healthcare robotics group within the Centre. His interests mainly focus on medical and industrial robotics, particularly in the areas of kinematics, calibration, flexible mechanisms, Lie groups theory, and development of mechatronic systems.

Liao left QUT in December 2018 to take up the position of Lecturer in the School of Mechanical and Manufacturing Engineering at the University of New South Wales, Sydney.

Dr. Pan Ji is currently a staff research engineer at InnoPeak Technology (a.k.a., OPPO US Research Center), working on Augmented Reality (AR) related projects. Previously he worked as a researcher at NEC Labs America from 2018 to 2020. Before moving to the U.S. in Feb. 2018, he worked as an ARC Senior Research Associate (Post-Doc) with Professor Ian Reid at the University of Adelaide.  Prior to that, he was a PhD student at ANU from 2013 to 2016, supervised by Professor Hongdong Li and Dr. Mathieu Salzmann. His research interests lie in computer vision (especially 3D vision), unsupervised learning (e.g., clustering) and various other aspects of machine learning. He received the Best Student Paper Award at the International Conference on Image Processing (ICIP) 2014.

Shahnewaz Ali earned his MSc. in Computer Engineering from Politecnico Di Milano, Italy [QS RANKINGS 2015 Top 50 Universities, top 10 European universities in 6 research areas including Computer Science and Information Systems, Electrical and Electronic Engineering]  with ICE scholarship for excellent students.

He is passionate about problem formulation and solution space exploration, therefore, system analysis. He prefers to identify system problems as a whole, evaluate possible solutions refers to current Technology, Trends, and Methods. Currently, he has published some technical papers (including IEEE) and book chapter with springer.  Nevertheless, his research and work interest mainly focused on Intelligent Electronics and Computing System thus it covers various fields such as Hardware – Software Design Methodology based on FPGA –a Hybrid System, Robotics and Feedback System, Computer Vision, and System Automation and Control on SoC or on Embedded Platform such Microprocessor and Microcontroller.

Currently, he is a PhD student. His research is addressing the vision-related problems of an autonomous surgical robotic platform such as an autonomous illumination controller for surgical space, Surgical scene segmentation and depth perception in order to achieve a robust and enhanced vision.

Aimee is a PhD researcher at Monash University, working under the supervision of Professors Tom Drummond and Dana Kulic. Her previous studies were in Mechatronics and Commerce. She has spent 10 years working across diverse industries including software development, data analysis, hardware, IT education/training and research support.  Aimee’s research interests involve designing robots with strong functional and social requirements that people can both like and trust, incorporating elements of HRI, AGI, biomimicry, robotic vision and machine learning.

Yue is currently a PhD researcher at ANU and an Associated PhD researcher at the Centre.
She joined the Centre as an Associated PhD Researcher in 2019 and is supervised by Chief Investigators Professor Hongdong Li and Dr. Miaomiao Liu.
Yu received her Master’s degree of Telecommunication at ANU in 2017.  She is now working across the Robots, Humans and Action, and Point Cloud Processing topics.

Shin joined the Centre as a PhD researcher in 2017 under the supervision of Tat-Jun Chin and Yasir Latif. She graduated from Sheffield Hallam University, UK with first class honours in Electronics Engineering in 2012. Shin’s research interest lies in computer vision and robotics.

Ziang received his bachelor’s degree in computer science from Harbin Institute of Technology in 2016. In 2017, he began his research at ANU and is currently under the co-supervision of Professor Hongdong Li, Professor Imari Sato and Dr. Viorela Ila. He later joined the Centre in 2018 and is working on multi-view photometric 3D reconstruction.

Arif completed his M.Sc. Engineering (Electrical) in September 2014 from Rajshahi University of Engineering & Technology (RUET), Bangladesh. In 2015, he joined RUET as Assistant Professor in the department of Electronics & Telecommunication Engineering. Currently, he is doing his PhD research in robotic vision under the supervision of Richard Hartley and Chuong Nguyen at ANU. He is working on polarization based structure computation for robotic vision. His research interests are image processing, deep learning and 3D reconstruction.

Tom graduated from ANU in 2017 with first class honours in a Bachelor of Engineering. He then worked as a research assistant at QUT for Dr. Anjali Jaiprakash until 2018. His PhD involves using a light field camera for retinal screening and he is supervised by Dr. Anjali Jaiprakash, Professor Jonathan Roberts, and Professor Michael Collins. He joined the Centre in 2018.

Vibha completed her Bachelor degree in Mechatronics Engineering from Monash University (Malaysian campus) before completing her Masters in Robotics at the University of Pennsylvania. While at UPenn, she was part of the team who competed in RoboCup 2013 and won the Humanoid League. She joined the Centre in 2019 and is completing her PhD in Efficient Reinforcement Learning for Robotics supervised by Research Fellow Juxi Leitner and Associate Investigator Thierry Peynot.

Vibha is highly interested in understanding how the human brain works and emulating it in artificial agents, and believes curious agents are a step towards achieving it.

Luke graduated with a bachelor of electrical and computer systems engineering (honors) from Monash University.  He then worked in engineering consulting before returning to Monash to start his PhD in 2018. Luke is researching generalisation and memory in deep reinforcement learning. In his free time, he enjoys hobby electronics and is involved in the maker community.

Mahsa joined the Centre as a PhD researcher at the University of Adelaide in October 2018 under the supervision of Professor Ian Reid and Professor Javen Shi. Prior to this, she received her M.Sc. in Computer Networks from Sharif University of Technology and her B.Sc. in Computer Engineering from K. N. Toosi University of Technology in Iran. Her main research interests lie in the area of computer vision and deep learning paradigms with a specific focus on general human understanding in video sequences. She has expertise in areas of human action detection/recognition, social human activity analysis, multiple human/object tracking, human trajectory and pose forecasting.

Jordan graduated from QUT in 2017 with first class honours in a Bachelor of Mechatronic Engineering.  He worked with QUT’s team for the Amazon Picking Challenge, as well as working on a CSIRO project involving developing autonomous surveying with UAVs. He started his PhD in 2018 and is supervised by Centre Research Affiliate and QUT Research Fellow Chris Lehnert, Research Fellow Juxi Leitner and Centre Director Peter Corke. His field of study involves developing and improving generalisable robotic manipulation skills.

Shawn completed his Bachelor of Engineering (Honours) degree at ANU in 2020, majoring in Mechatronics. During his degree, he worked on several research projects in robotics and computer vision, and his honours project focused on the implementation of a symmetry-based SLAM algorithm on the Carlie platform. Shawn joined the Centre in 2020 as an honours student and participated in the Carlie showcase competition in RoboVis. In 2021, he commenced his PhD under the supervision of Professor Robert Mahony at ANU. His current research interests are dense SLAM and non-linear control theory.

Jesse graduated from QUT in 2018 with First Class Honours in a Bachelor of Electrical Engineering. He was welcomed to the world of research by his supervisor, Peter Corke when he completed his honours project titled “Interactive Voice Interface for Robotic Manipulation Demonstrator” in 2018/2019. Jesse is currently pursuing his PhD with the Centre supervised by Peter Corke. His research seeks to develop novel reactive control strategies which improve the robustness, exploit redundancy, and maximise the efficiency of mobile manipulators while being adaptable to changes in the environment.

Gus completed his Bachelors degree in electrical engineering and arts (philosophy) at Monash University in 2015. He spent a few years alternately working, travelling and studying economics before returning to Monash in 2018 to start his PhD in robotic vision with Chief Investigator Professor Tom Drummond. His research aspires to better understand how we can represent and model useful concepts like physics, objects, relations, and causality, which he anticipates might help lift the binding constraint in a number of robotics and vision domains.

In his free time Gus enjoys scuba diving, reading, cycling, and talking about social science.

Yicong completed his Bachelor of Engineering at ANU in 2018, majoring in Mechatronic Systems. He was a research student at Data61/CSIRO from 2017 to 2018 working on his honours project about human shape and pose estimation. Yicong joined the Centre as a PhD researcher in 2019 under the supervision of Chief Investigator Professor Stephen Gould. His research insterests include visual grounding and textual grounding problems and he is currently working in the Centre’s Vision and Language research project.

Robert graduated from QUT in 2017 with first class honours in a Bachelor of Mechatronics Engineering. During his degree he worked with the Centre on the LunaRoo hopping lunar payload robot, as well as a CSIRO collaboration project involving evolving spiking neural networks for quadrotor control. Robert started his PhD in 2018 and is supervised by Research Fellow Juxi Leitner, Research Fellow Valerio Ortenzi and Centre Director Peter Corke. His interests lie in deep reinforcement learning, control and vision, and he is currently working on applying these tools to improve robotic grasping.

Kejie graduated from ANU with a Bachelor of Advanced Computing (Honours) with first class honours in 2016. During this time, he mainly worked on single view depth estimation. He joined the Centre in 2017 to work on semantic scene understanding, and the intriguing yet challenging task of building robots that are able to better interact with the world by well understanding the concept of objects and environment.

Liu Liu joined the Centre as a PhD researcher at ANU in 2018, working under the supervision of Professor Hongdong Li. He obtained his bachelor degree from the Northwestern Polytechnical University (Honor School). He is mainly working on large-scale place recognition and image-based localisation.

David graduated from ANU in 2018 with first class honours in Bachelor of Engineering (Research and Development), majoring in Electronics and Communication Systems and minoring in Mechatronics Systems. David joined the Centre in 2019 as a PhD student at ANU under the supervision of Chief Investigator Professor Stephen Gould. His research interests surround vision and language tasks in the field of Deep Learning, particularly visual grounding and reasoning.

Rongkai joined the Centre in 2019 as a PhD researcher at Monash University under the supervision of Chief Investigator Professor Tom Drummond. In 2018, he received his bachelor degree (First Class Honours) in engineering from Monash and has a bachelor of Engineering from Central South University in Changsha, China. Rongkai is primarily interested in Deep Learning and its application in computer vision and robotics.

Dimity joined the Centre in 2018 after graduating from QUT in 2017 with First Class Honours in a Bachelor of Mechatronics Engineering. Dimity is currently completing her PhD on how to obtain uncertainty and robustness in deep learning for robotic vision. She is particularly interested in the reliability of deep learning in open-set conditions, where object classes that were not present in the training data are encountered.

Serena started her PhD with the Centre in 2018 after being introduced to research by her supervisor, Centre CI Dr. Niko Sünderhauf, when she completed a Vacation Research Experience Scheme (VRES) project in 2016/2017. This led to an Honours project supervised by Dr. Sünderhauf “Learning to Navigate with Reinforcement Learning”. Along with her interests in robotics, she also has a passion towards the protection and conservation of the environment. Surveying is important for understanding and protecting ecosystems but is repetitive, time consuming and expensive. By using her knowledge of deep learning and its associated frameworks, robotic task design, and semantic representation she is focusing on efficient detection of flora and fauna from aerial surveillance.

James is a robotics engineer, engineering educator and technology communicator. He enjoys pushing the boundaries of technology by designing and building robotic systems and assessing their capabilities in real-world applications. James is also passionate about creating and presenting engaging demonstrations to teach others about technology.

James has worked with universities, governments and the private sector for over five years and completed several highly-successful projects. Some of these include, assessing the readiness of the Australian roads for autonomous vehicles on a multi-million dollar government contract. As well as the development and manufacturing of a fleet of mini-autonomous vehicles that are used for research and education.

James’ roles as a sessional academic at QUT and as a PhD student as part of the Centre has allowed him to explore his passion for education. For the past 10 years, he has taught engineering at QUT and developed engaging demonstrations showing off upcoming robotics technology. Some of his career highlights include guest-starring in several children’s television shows and presenting an interactive demonstration about autonomous vehicles to an audience of a thousand people.

He currently holds an Honours Degree in Mechatronics Engineering and is waiting for his PhD Final Thesis Examination reviews.

Lachlan graduated from QUT in 2016 with First Class Honours in a Bachelor of Electrical Engineering. Whilst completing his degree, he was appointed by the Centre to continue the mechanical and software upgrade of the SummitXL mobile robot as a summer research task. He also worked with the ACRV to complete his undergraduate thesis with a focus on Navigation, Object Detection, and Mobile Manipulation within an office environment. With a team from the Centre of Excellence he competed in the Amazon Picking Challenge of 2016, achieving 6th place in the final demonstration held in Leipzig, Germany. Lachlan is currently pursuing his PhD with the centre and his research is focused on Scene Understanding via Deep Learning, Semantics and SLAM.

Liyuan Pan is a PhD researcher at ANU, working under the supervision of Richard Hartley, Hongdong Li, Miaomiao Liu and Yuchao Dai. She is currently working on image deblurring, flow estimation, and high-speed image reconstruction with event cameras. She joined the Centre as PhD Researcher in 2018.

Amir joined the Centre as PhD researcher at ANU supervised by Richard Hartley. His research interests are object detection, probabilistic graphical models, learning with limited labelled data, and deep neural network confidence calibration.

Maruf completed his bachelor’s and master’s degree from Department of Computer Science and Engineering, University of Dhaka, Bangladesh in 2012 and 2014 respectively. During his master’s degree, he started working in the software industry and has gained five years of industry experience before starting his PhD with the Centre in 2018. He is interested in applying deep learning in robotic vision and is supervised by Dr Feras Dayoub, Associate Professor Niko Sünderhauf and Centre Director Distinguished Prof. Peter Corke. His research topic is to identify the failure of a robotic vision system at run-time. This research is of paramount importance to improve the safety and reliability of vision-based robotic system during the deployment phase. Maruf is proficient in multiple deep learning and machine learning frameworks, and programming languages.

Krishan graduated with first class honours in a Bachelor of Mechatronics Engineering in 2018 and began his PhD with the Centre under the supervision of Dr Niko Suenderhauf and Prof Michael Milford soon after. His research is particularly focused on fusing classical control and deep reinforcement learning strategies for mobile robot navigation. He is additionally interested in methods which can allow policies trained in simulation to robustly transfer to real world scenarios.

Andrew is a PhD Researcher at the ACRV Medical Robotics Group. He graduated as a Mechatronics Engineer at QUT in 2017. He initially started working on a medical robotics project about controlling a snake-like robot through hand gestures. He has had experience in the ACRV Amazon Picking Challenge in 2017 and has managed a robot arm workshop series for the QUT Robotics Club in 2018. Now Andrew is working on his PhD which involves developing patient-specific snake-like robots for the RAVEN II surgical telerobotic system using evolution algorithms and vision-based control. Andrew’s interests include robot arm manipulators, optimisation and control.

Violetta joined the Centre as a PhD researcher in 2018. She received her Bachelor Degree in Computer Science at Southern Federal University, Russia, in 2015. After that, Violetta participated in a Double Degree program with Lappeenranta University of Technology in Finland, where she finished her Masters in Computational Engineering in 2017. Her research interests lie in computer vision and deep learning and, in particular, in solving the task of visual question answering.

Yujiao Shi is currently a PhD student at the College of Engineering and Computer Science, ANU. She received her B.E. degree and M.E. degree in Nanjing University of Posts and Telecommunications, Nanjing, China, in 2014 and 2017 respectively. Her research interests include ground-to-aerial geo-localization, novel view synthesis, and satellite image based scene understanding.

Yujiao joined the Centre in September 2018.

John has a background in Web development and Video Game development. He holds a Bachelor of Software Engineering from the University of Queensland and has 3 years’ experience working in industry. He has returned to academia to investigate the potential applications of High-Fidelity simulation to computer vision. His thesis title is “High-fidelity Simulation for Robot Vision”.

Libo joined the Centre as a PhD researcher in 2019 at the University of Adelaide, under the supervision of Professor Chunhua Shen. Before this he worked as a project officer and research associate at Nanyang Technological University, Singapore. His current research interests are mainly in the field of robotics, computer vision, and deep learning. In his free time, Libo enjoys hiking and travelling and has visited many places of interest including the Terracotta Warriors, The Great Wall of China, and Angkor Wat in Cambodia.

Xiaoxiao Sun is currently a PhD researcher at the Australian National University and an Associated PhD researcher with the Centre. She is under the supervision of Dr. Liang Zheng and Prof. Hongdong Li. Her research interests include learning from synthetic data, domain adaptation (syn2real) and visual interpretability for deep learning.

Brendan graduated from QUT in 2017 with a Bachelor of Engineering majoring in Mechatronics, achieving first class honors. In 2016 Brendan developed a tethered autonomous underwater vehicle as part of QUT’s entry to the Robotx Maritime challenge, travelling with the team to Hawaii. TeamQUT competed against 13 universities from around the world, where TeamQUT received second place.

Brendan joined the Centre in late 2017 under supervision of Dr Juxi Leitner and associate supervisor Distinguished Professor Peter Corke. In 2018 Dr Nicholas Hudson from Data61 at CSIRO joined his supervisory team, and in 2019 Dr Akansel Cosgun (Monash University) filled in for Dr Leitner. Brendan’s work uses reinforcement learning to control dynamic legged robots traversing challenging terrains. The focus of this work is on modularity, where any number of controllers can be combined to extend the mobility of a dynamic platform on unstructured environments.

This topic lead him to work with CSIRO as part of a team funded by DARPA in their latest robotics competition, a subterranean challenge. In the Subt challenge a team of robots (CSIRO’s team includes tracked, legged, and flying robots), commanded by a single operator must enter an underground scenario and localise target artifacts. The Subt challenge consists of 4 stages, including a Tunnel circuit (Aug 2019), Urban circuit (Feb 2020), Cave circuit (Oct 2020), and a final combination circuit (Aug 2021). Brendan has travelled with the team for all engagements thus far, and was one of two operators for the Urban and Cave circuits.

Pieter completed his Bachelor of Engineering (Research & Development) (Honours) and Bachelor of Science at ANU in 2018, majoring in Mechatronics and Mathematics, respectively. In 2017 he worked as a student intern at Data61 at CSIRO in Brisbane. His engineering honours thesis, completed in 2017, studied non-linear multi-agent system formation control using unit quaternions.

In October 2018 Pieter commenced his PhD in non-linear observer theory under the supervision of Rob Mahony at ANU. He is researching geometric observers for non-linear control problems, such as SLAM, with a focus on applying Lie group symmetries and implementation on mobile robots. In this research, he is also looking at novel hardware options for implementing these systems.

Yunyan completed her Bachelor of Electrical and Computer System Enginnering degree at Monash University in 2017, graduating with first class honours. She started her PhD at Monash University in 2018 and is supervised by Professor Tom Drummond. Her current research focuses on utilising deep reinforcement learning to improve video prediction.

Ming received his B. Comm (Hons) at the University of Melbourne and worked as an actuarial analyst for 3 years before returning to academia. He completed his M. Sc. in Mathematics at the University of New South Wales, performing research in Bayesian computation and is now completing his PhD at QUT under the supervision of Prof. Michael Milford and Dr Niko Sünderhauf.

Ming is interested in applying the recent advances in scalable Bayesian computation to build loop closure systems in vision-based SLAM systems that are robust to noise and various levels of appearance changes. He joined the Centre in 2019.

Fred is a PhD student at ANU under the supervision of Professor Stephen Gould. In 2018, he received his bachelor degree in engineering from ANU and bachelor of science from Beijing Institute of Technology.

Fred has been working on the task of Human-Object Interaction (HOI) Detection, and is generally interested in vision-based problems and its deep learning solutions.

Jun is a PhD researcher in the Centre at ANU. He received both his B.Eng. and M.Sc.Eng. degrees at Northwestern Polytechnical University. During his master’s period, Jun spent one and half years in Peking University as a visiting researcher. His research interests lie in the area of robotic vision, particularly in visual odometry/SLAM, structure from motion, 3D vision and motion field.

Zheyu Zhuang is a PhD student at ANU, supervised by Robert Mahony, Nick Barnes and Richard Hartley. His research is involved in developing visual reaching and grasping strategies that combine traditional control theories and deep learning. Zheyu graduated from ANU with first class honours, majoring in Electronics Engineering and Mechatronics. He was also a developer of Cartman, the Centre’s grasping robot that won Amazon Robotics Challenge 2017.

Dzung is a PhD candidate at the Australian Institute for Machine Learning in Adelaide, under the guidance of Professor Tat-Jun Chin, Dr. Yasir Latif, and Professor Ian Reid.   Before that, he spent 3 years at Temasek Labs@SUTD in Singapore as a full-time research assistant, advised by Associate Professor Ngai-Man Cheung. He received Bachelor of Science with Honours (in top 1%) at the Vietnam National University – Ho Chi Minh City (University of Science).

His research interest is robotic vision, at the intersection of robotics, computer vision, and machine learning. For his PhD research, his focus is on visual place recognition under appearance changes for autonomous driving. After more than 5 years of conducting research in both academic and industrial sectors, he acquires an extensive expertise in developing scalable algorithms for visual place recognition, visual localization, and image retrieval.

Chamin completed a double degree in Computer Science and Mathematics at ANU in 2019. During his degree he worked on multiple research projects in NLP and music generation, the former as a research assistant at Data61/CSIRO, and his Honours project was on Visual Question Answering. Chamin joined the Centre as a PhD researcher in 2020 under the supervision of Chief Investigator Professor Stephen Gould.

Chamin has broad interests in machine learning, optimisation and information theory. He is involved in both the Learning project and Vision and Language project, and is currently working on feature summarization within deep learning. On the weekend he enjoys playing badminton and board games.

Ziwei completed her Bachelor of Engineering at ANU with first-class honours in 2019, majoring in Mechatronic Systems. She was a research student at ACRV from 2018 to 2019 working on her Summer Research Scholarship Program and her Honours Project about high-speed video reconstruction and feature tracking using event cameras. Ziwei joined the Centre as a PhD researcher in 2020 under the supervision of Chief Investigator Professor Robert Mahony. She is currently working on the Centre’s Fast Visual Motion Control research project and her research interests include high dynamic range, high-speed video reconstruction, 3D perception and feature tracking with event cameras.

Nicolas Mandel received his BSc. in Sports and Technology from the Otto-von-Guericke University Magdeburg. He received his MSc. in Biomedical Engineering from the UAS Technikum Vienna in 2017, after writing his Master’s Thesis at the University of Cape Town on FEM simulations of cardiovascular scaffold treatments.

Nicolas was involved in various research and industry projects over the years, aligning with different aspects of his education in a broad variety of countries and began his PhD journey at QUT in February 2019. His research is centered around the question of how semantic information can be employed for the benefit of UAV navigation.  He joined the Centre in 2020.

Gil is a PhD researcher supervised by Professor Tom Drummond at Monash University in Melbourne. His PhD research interests lay on the intersection of Representation Learning and Generative models applied to Computer Vision tasks. During his PhD, Gil interned at Microsoft and Amazon. Prior to undertaking a PhD, Gil worked in the Israel tech industry for 4 years on various Computer Vision and Robotics projects.

Artur graduated with a Bachelor of Engineering in Automatic Control and Robotics from Poznan University of Technology in Poland in 2016. He then attended Universidad Politecnica de Cartagena in Spain for 4 months as part of the Erasmus exchange program. Artur completed his Masters of Research in Medical Robotics and Image Guided Intervention at the Hamlyn Centre, Imperial College London in 2017, where he introduced Active Constraints for Tool-Shaft Collision Avoidance in Minimally Invasive Surgery on the Da Vinci Surgical System.

He is currently pursuing his PhD in Surgical Robotics at QUT, joining the Centre in late 2018. His interest covers innovating the field of surgery by looking for solutions to significantly reduce patient suffering and improve quality of life. More precisely, he is investigating the challenges of robotic-assisted and image guided intervention in order to increase safety of minimally invasive procedures. In 2020 Artur was a Visiting Researcher at Harvard Medical School where he pursued a part of his PhD. In his free time Artur is committed to surfing, wintersports, backpacking and self-development. He was also a member of the Polish National Team in Olympic Windsurfing Class.

Luis Guerra completed a Bachelor of Electronics Engineering (2013) and a Masters of Science in Digital Signal Processing (2015) in Chihuahua, Mexico. During his undergraduate studies, he completed an internship at the Advanced Materials Research Centre where he won a national research contest. Afterwards he entered the automotive industry as an embedded software developer for a year and then held a research position as Computer Vision Engineer in ADAS for another year. Luis started his PhD with the Centre at Monash University at the end of 2017. His research interests are focused on efficient heterogeneous deep learning implementations for embedded systems and constrained devices. He is supervised by Chief Investigator Professor Tom Drummond.

Sean joined the Centre in 2016 under the supervision of Jochen Trumpf, Rob Mahony, and Viorela Ila. He received his Bachelor of Engineering (Honours) in mechatronics and Bachelor of Science in mathematics at ANU in 2015. Presently, Sean is looking at applying the theory of infinite-dimensional observers to various dense sensing modalities, including light-field cameras. He has hopes that new, efficient algorithms will emerge from his research that will assist in certain robotic vision applications such as real-time depth mapping and odometry estimation.

Timo started his PhD at Monash University in 2017, exploring new methods and algorithms to make use of the highly temporally resolved data produced by neuromorphic camera sensors with the aim of hardware accelerating these for use in real time applications. His work aims to improve on the RV2 Centre research project by exploring the use of novel visual sensors. Prior to his work at Monash, he completed his undergraduate studies at the University of Bremen, Germany and worked at the German Research Centre for Artificial Intelligence (DFKI), as well as taking a two year break to travel through South America and Europe. In his spare time, Timo is a keen hiker and likes to spend as much time as he can outdoors and is a volunteer with Bush Search and Rescue.

Samira started her PhD at ANU in 2018 and is supervised by Chief Investigators Richard Hartley and Stephen Gould. Her current research focuses on human pose estimation.

Gerard completed his Bachelor of Engineering and Science at ANU n 2018, majoring in mechatronic systems and applied mathematics. In 2017 he began work as a research assistant for the ANU node of the Centre, working on the perception system of a robotic harvesting platform. For this work he has looked into calibration, image segmentation and 3D reconstruction problems in real-time, on-farm environments.

Gerard started his PhD in robotic vision under the supervision of Chief Investigator Robert Mahony at ANU in 2019. His PhD topic involves investigating the use of occlusion information to enhance object reconstruction and segmentation in detailed, cluttered environments. The application of the project will remain the perception system of the robotic harvesting platform.

Yu is a PhD researcher at the University of Adelaide.  His research focuses on combining deep learning to solve vision problems, including object detection, segmentation, tracking and semantic scene completion. Before joining the Centre, he was a masters student at the State Key Lab of CAD&CG, Zhejiang University working in video depth recovery, segmentation, and 3D reconstruction. He completed his bachelor’s degree in software engineering at Southwest University. He was a visiting research student in ETH ASL and USC ICT graphics lab respectively in 2019 and 2015.

Medhani is doing research under the supervison of Hondong Li and Chuong Nguyen. Her research interests are Deeplearning, computer vision, Robotics and control systems. She did a Bachelor of Science and Technology specializing in Mechatronics, Uva Wellassa University, Sri Lanka(2012). Medhani then followed with a Master of Science in robotics and control systems at University of Moratuwa, Sri Lanka (2014). She has several conference publications relevant to haptic and vibration suppression of bilateral control systems.  She is currently working on object classification and detection by using deeplearning.

Doug completed his PhD at QUT in 2020, supervised by Dr Juxi Leitner and Professor Peter Corke. His research is developing new strategies for robotic grasping in the unstructured and dynamic environments of the real world, that is, strategies which are general, reactive and knowledgeable about their environments. Hi goal is to create robots that can grasp objects anywhere at anytime.  Doug was also the lead developer of Cartman, the ACRV’s winning entry into the 2017 Amazon Robotics Challenge!

Vladimir joined the Centre as a PhD researcher in 2017 and graduated from the University of Adelaide in December 2020 under the supervision of Professor Ian Reid and Professor Chunhua Shen. He received Dean’s Commendation letter for his  thesis titled “Semantic Segmentation and Other Dense Per-Pixel Tasks: Practical Approaches”.

Hongguang Zhang obtained his PhD at ANU 2020. His supervisors were Dr. Piotr Koniusz and Professor Hongdong Li. Hongguang received his B.Eng. degree from Shanghai Jiao Tong University in 2014. His research interests include deep learning, transfer learning (zero-shot and few-shot learning), self-supervised learning, image and video classification.

Alan completed a double degree in 2017 with a Bachelor of Engineering and Bachelor of Science at Monash University, graduating with first class honours. He is currently supervised by Chief Investigator Tom Drummond in the field of Computer Vision and Artificial Intelligence. His current research goal is to investigate how to use the advantage of attention mechanism and distance metric to improve the performance of metric learning applications.

William Hooper graduated from QUT in 2017 with First Class Honours in a Bachelor of Electrical Engineering and Bachelor of Mathematics. During his degree he completed a Vacation Research position, learning how to build 3D realistic household interiors and modifying them to allow appropriate use in robotics applications. William is currently pursuing a PhD in the Centre, with a research focus on bringing his interest in mathematics and statistics to real-world robotics applications. His current research interests include; probabilistic generative models, causal reasoning and algorithmic complexity.

Sadegh is an Associated PhD researcher at our ANU node. He is working on generative modeling of natural human motion, which has applications in human motion prediction, motion synthesis, and better motion capture. He is also working on generative models in general, focusing on variational autoencoders, autoregressive models, and normalizing flows. During his PhD, Sadegh has done several internships, working on motion analysis, adversarial machine learning, and generative modeling.

Katrina completed her Bachelor of Engineering (Research & Development) (Honours) and Bachelor of Science at ANU in 2018, majoring in Mechatronics and Mathematical Modeling, respectively.

In 2020 she started a PhD at the University of Pennsylvania but due to COVID-19 she is currently attending remotely. Whilst still in Canberra, she had the opportunity to work with Rob Mahony. The main focus of her research at the Centre is to build on the group’s existing work on equivariant observers to create a vSLAM system for UAVs which are flying high above the ground and thus do not have landmarks close to them.

Jiawang is currently a PhD researcher at the University of Adelaide and an Associated PhD researcher with the Centre. He is advised by Professor Ian Reid and Professor Chunhua Shen. His research interests lie in the field of computer vision, machine learning, and robotics. Jiawang received his B.Eng degree from Nankai University, where he was advised by Professor Ming-Ming Cheng. He was a research assistant at the Singapore University of Technology and Design (SUTD), where he worked with Professor Sai-Kit Yeung. Jiawang also worked as a trainee research engineer at the Advanced Digital Sciences Center in Singapore (ADSC), Huawei Technologies Co., Ltd, and Tusimple.

Weijian Deng is a second-year PhD student at ANU, where he is supervised by Stephen Gould and Liang Zheng. Before that, he received the M.Eng. from the University of the Chinese Academy of Sciences in 2019. His research interest is in understanding the model decision under novel environments.

Kartik joined the Centre as an associated PhD researcher at ANU in 2018. He is currently working on neural network quantization. Before joining ANU, Kartik worked as a Research Engineer in machine learning for around 1.5 years. He completed his MS (by Research) degree in computer science from Indian Institute of Technology (IIT) Mandi in 2017, working mainly in the area of computer vision.  He also worked with Professor Darius Burschka as a DAAD research scholar at Technical University of Munich (TU Munich) during his Masters. In 2018, he began his research at ANU and Data61 CSIRO under the supervision of Professor Richard Hartley.

Yunzhong Hou joined the Centre in June 2019 as an Associated PhD researcher at ANU. He is working under the supervision of Centre Associate Investigator Dr. Liang Zheng and Chief Investigator Professor Stephen Gould. His research interests include object recognition, multi-view detection, and multi-object tracking. Yunzhong is working across the Robots, Humans and Action, and Manipulation & Vision Centre Research Projects.

Shihao Jiang is a PhD researcher at ANU, working under the supervision of Richard Hartley, Dylan Campbell, Miaomiao Liu and Stephen Gould. His research interests include geometric vision, optimization and deep learning. Prior to his PhD, he received his Bachelor of Engineering degree with first class honours in 2016, majoring in Electronic and Communication Systems.

Yasir has received various awards for his research including best student paper at ICRA 2015 and DICTA 2019.

Dongxu acquired his Bachelor of Advanced Computing from ANU (First-class Honours). His research interests are mainly in the field of vision and language and human-robot interaction. He joined the Centre as an Associated PhD Researcher in 2019 and is supervised by Chief Investigators Professor Hongdong Li and Professor Stephen Gould. Dongxu is working across the Robots, Humans and Action, and Vision and Language projects. Dongxu, together with his collaborators in the Centre, received Best Paper Honourable Mention Award at WACV, 2020 and Best Paper Finalist at CVPR, 2020 for their work on human action and language understanding.

Yao Lu is a PhD student at ANU, under the supervision of Richard Hartley, Hongdong Li and Mehrtash Harandi. His main research interests are optical flow, optimization and learning on videos. He obtained his master degree in computer science in University of Helsinki, under the supervision of Aapo Hyvarinen and Michael Gutmann. He is part of the Centre’s Scene Understanding and Learning research project teams.

Cuong Nguyen is a PhD researcher at The University of Adelaide. He received his Bachelor degree from Portland State University, USA in 2012, and his MPhil degree from The University of Adelaide in 2018. He is interested in creating intelligent machines that can quickly learn from only a few examples. He joined the Centre in 2020 to research in meta-learning, a challenging field that builds algorithms for robots to quickly adapt to new tasks or new environments with a limited number of training examples. He is supervised by Centre Chief Investigator Gustavo Carneiro and is working in the Centre’s Learning Project.

Ehab Salahat is a PhD researcher at ANU.  He completed his Master’s studies in Electrical and Computer Engineering and Bachelor of Science in Communications Engineering (with first-class honors) in 2015 and 2013, respectively.

During his studies, he was the recipient of many international and national prestigious scientific awards and honors. Additionally, his bachelor project was selected to be the best graduation project from the Communications Engineering department. He is the lead inventor for many embedded vision US patents.

Zhiwei Xu started his PhD research in computer vision under the supervision of Professors Richard Hartley, Stephen Gould, and Hongdong Li in 2017. He joined the Centre in August 2018. Prior to that, he obtained a Master and a Bachelor of Electrical Engineering in China in 2015 and 2012 respectively, followed by 2 years experience in industry. His current research interest is learning MRF algorithms with deep learning in scene understanding.

Jing Zhang is currently a PhD student with Research School of Electrical, Energy and Materials Engineering, ANU.  Her main research interests include saliency detection, weakly supervised learning, generative model. She won the Best Student Paper Prize at DICTA 2017, the Best Deep/Machine Learning Paper Prize at APSIPA ASC 2017 and the Best Paper Award Nominee at IEEE CVPR 2020.

Mahdi is a PhD student at the Australian Institute for Machine Learning in Adelaide, supervised by Professor Javen Shi, Dr. Qi Wu and Dr. Eshan Abbasnejad. Previously, he finished his Honours Degree of Bachelor of Computer Science at the University of Adelaide, with First class Honours, where he was awarded the faculty’s Valedictorian (among eight schools) and the Dean’s Academic Excellence Award for his exceptional performance throughout the degree.

Mahdi is passionately researching at the intersection of machine learning and computer vision. For his PhD, his focus is on Reinforcement Learning methods for visual semantic navigation. He has extensive experience in applications of machine learning in various domains like sports performance analysis, factory automation, mining and more recently on bush fire mitigation. He has been part of teams winning several competitions including 2019 GovHack, 2019 VW Automation Day, 2020 Bushfire Data Quest etc.

Wei Mao is a PhD student in the Research School of Engineering (RSEng), ANU under the supervision of Dr. Miaomiao Liu. He received his Master’s degree from the College of Computer Science and Engineering (CECS), Australian National University in 2018. His research focus is human shape and motion in 3D.

Tong Zhang joined the Centre as a PhD researcher at ANU in 2018. He obtained his masters degree from New York University in 2014 and his bachelor degree from Beihang University in 2011. He is mainly working on subspace clustering, weakly-supervised learning and generative models.

Adrian completed his undergraduate degree in Computer Science at the University of Adelaide before joining a research group for twelve months, where he worked on software engineering tools for the Defense Science Technology Group. He then returned to complete his honours degree in Computer Science, graduating with first class honours. Prior to beginning his PhD, he worked as a software engineer for the Australian Institute for Machine Learning (AIML). He commenced PhD studies in 2015 under the supervision of Professor Gustavo Carneiro. Adrian’s PhD research is focused on 3D object reconstruction using Deep Learning. Adrian recently completed his PhD in September 2020. He has previously worked for LifeWhisperer developing Computer Vision and AI techniques for IVF. He is currently working towards launching his own company applying AI and Computer Vision to the natural sciences.

Fatemeh is currently a Research Fellow at Monash University. She previously worked as a PhD researcher at ANU, working under the supervision of Dr. Piotr Koniusz, Professor Richard Hartley and Professor Fatih Porikli. Prior to joining ANU and she worked in industry for 6 years. She received her Master of Science degree from Tarbiat Modares University. Her research interests include Deep Learning, Computer Vision, and Image Processing. She joined the Centre as an Associated PhD Researcher in late 2018.

Markus commenced his PhD at Monash University in 2020 under the supervision of Chief Investigator Professor Tom Drummond.

Jack Collins is an associated PhD researcher at the Centre and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). His research is focused on the simulation of robots and how we can traverse the ‘Reality Gap’ using sim-to-real methods. The ‘Reality Gap’ describes the discrepancy we see when trying to transfer a controller developed, learnt or evolved in simulation to a real-world platform.

Yan completed his PhD titled “Advances in Decision Forests and Ferns with Applications in Deep Representation Learning for Computer Vision” in 2019 under the supervision of Chief Investigator Professor Tom Drummond. During his PhD, his research focused on a family of learning algorithms categorised as ensemble learning methods. His work involved investigating methods for incorporating decision forests and decision ferns within deep learning frameworks and applying them to computer vision. These applications include a range of tasks including image classification, image segmentation, image synthesis and video prediction. He then joined the Centre as a Research Fellow in June 2019 and his current research is focused on solving problems in machine perceptron using learning approaches such as Generative Adversarial Networks and Reinforcement Learning for navigation and mapping within the Learning project of the Centre.

Dorian received his Bachelor’s of Applied Science in Engineering Science from University of Toronto, Canada, and a double Masters of Science in Space Science & Technology from Lulea Technical University, Sweden, and in Robotics & Automation from Aalto University, Finland through the Erasmus Mundus SpaceMaster program. He completed his Master’s thesis project at the NASA Jet Propulsion Lab on autonomous vision-based tether-assisted rover docking. During his PhD under the supervision of Peter Corke, Donald Dansereau and Thierry Peynot, Dorian investigated how to develop 4D light field features and how to exploit them for camera motion and vision-based control for robots.

Dorian submitted his PhD for examination in 2019 and is now a Robotics Research Fellow with the Institute for Future Environments (IFE) Intellisensing group at QUT. He is particularly interested in aspects of robotic vision, and space systems.

Cedric completed his Master of Engineering (Mechanical) at the University of Melbourne in 2016. In 2015 he worked as a research assistant in the Fluid Dynamics lab at Melbourne before completing an exchange semester at ETH Zurich. His final year Masters thesis was a combined project with the University of Melbourne and The Northern Hospital, performing computational fluid dynamics studies on patient-specific coronary arteries.

In 2017 Cedric commenced his PhD in robotic vision under the supervision of Chief Investigator Rob Mahony at ANU. His PhD topic is high speed image reconstruction and deep learning with event cameras.

Cristian joined the Centre as PhD researcher under the supervision of Chief Investigator Hongdong Li and Research Fellow Basura Fernando. His research interests are machine learning and pattern recognition focus on the tasks of object detection, scene understanding and occlusion handling. Cristian completed a Bachelor and Computer Engineering degree at Metropolitan Technological University UTEM in Chile, before moving to Australia to complete a Master of Computing (Advanced) with a specialisation in artificial intelligence at ANU, with a Chilean scholarship ‘Becas Chile’. Before Crisitan joined ANU, he also worked as a research assistant and developer in the Web Intelligence Centre in Chile.

Yiran Zhong received the M.Eng in Information and Electronics Engineering in 2014 with the first class honor from ANU.  After two years as a research assistant, he started a PhD at the College of Engineering and Computer Science, ANU, Data61, CSIRO and the Centre.  He won the ICIP best Student Paper Award in 2014. His current research interests include geometric computer vision, machine learning, and deep learning. He completed his PhD in 2020 and is now a Research Fellow with the Centre.

Huangying is currently a PhD Student at the University of Adelaide and affiliated with the Australian Centre for Robotic Vision. He is advised by Professor Ian Reid and Professor Gustavo Carneiro. His research interests include deep learning and its application in robotic vision. Previously, Huangying received his B.Eng degree in Electronic Engineering (first class honors) from The Chinese University of Hong Kong (CUHK), where he was advised by Prof. Xiaogang Wang. Also, Huangying was a visiting student in the Unmanned Systems Research Group at The National University of Singapore, where he worked with Professor Ben M. Chen.

Mina joined ANU and the Centre in March 2016 as a PhD candidate to work on SLAM in dynamic environments. He is doing research under the supervision of Viorela Ila and Robert Mahony. His research interests include graph-based SLAM, dynamic SLAM and object SLAM besides kinematics and optimization techniques.

Mina received a B.Sc. in Engineering and Materials Science with Honours majoring in Mechatronics from the German University in Cairo (GUC), Egypt in 2012. He then worked in the business sector for a multinational FMCG for one year as a Near-East demand manager before pursuing his masters in Advanced Robotics. He received a double M.Sc. degree; European Masters of Advanced Robotics (EMARo) from Universita degli Studi di Genova, Italy and Ecole Centrale de Nantes, France.  Mina completed his PhD in 2020 and is now working as a research fellow at The 3Ai institute at ANU.

Rafa completed his PhD at the Centre under the supervision of Professor Gustavo Carneiro, Dr. Michele Sasdelli, and Professor Ian Reid, with a prestigious scholarship. He is currently a Postdoc Research Fellow at the Australian Institute for Machine Learning (AIML), where he has  been developing research on Generalised Zero-Shot Learning (GZSL), Explainable Artificial Intelligence and Visual Question Answering (VQA). His research interests include deep learning, zero-shot learning, open-set recognition, generative models, uncertainty, visual question answering, and optimization.

Sam is a Research Programmer at the University of Adelaide where he also gained a Bachelor of Engineering (Honours) and a Bachelor of Mathematical & Computer Sciences.  As a research programmer, he works on robotics, machine learning, and vision and language problems within the Centre. Sam has been part of the Centre since November 2018.

Alex started with ANU in the Computer Vision and Robotics group lead by Prof Rob Mahony in 2008.  He has been involved with projects including machine vision and learning, multi camera array sensors, high speed optical flow hardware on quad rotors and human/collaborative robot interaction. The lab he works in has a 4WD vehicle that is used for acquiring various data sets, numerous quadrotor aerial vehicles and a flight environment with VICON.  They also have various robotic manipulators and a work cell used for computer vision and human/robot interaction.

On a day-to-day basis Alex works on projects as well as managing the lab administration, WHS and safe working procedures, procurement as well as emergency fast turnaround hardware repair and fabrication.  He conducts student supervision as well as student and staff inductions into the workshop and workspace area.  In his spare time he wrestles his young children, improves his photographic skills and works on various art and design projects.

Steve graduated with a Bachelor of Mechatronics from QUT in 2009 and was a former PhD student at the original QUT Cyphy Lab with Gordon Wyeth and Peter Corke. He rejoined QUT and the Centre in February 2016 as a research engineer to assist with engineering requirements as the Centre grew. Within the group Steve works on a huge range of projects from general day to day robot maintenance, software development and electrical design work.

Tom is a Research Programmer based at the University of Adelaide. He joined the Centre in February 2017 and was a key member of Team ACRV who competed and won the 2017 Amazon Robotics Challenge in Japan. Tom completed his Bachelor of Engineering in Mechatronics, Robotics and Automation Engineering in 2012.

Garima is a Senior Research Engineer at QUT, currently working on an Industry project with Rheinmetall Defence Australia, to develop an autonomous off-road vehicle. She has over 9 years’ experience in field robotics, ranging from flight test lead and development of on-board control algorithms for multi-agent UAVs; development of an unmanned ground vehicle (UGV) capable of autonomous navigation and operating safely around humans in unstructured environments; to autonomous digging in challenging mining environments. Garima’s career has spanned both research and industry through various engineering roles. She has worked for Boeing Defence Australia and Mining3 besides QUT, and her clients have included Phantom Works International, Rheinmetall Defence Australia, the Royal Australian Air Force (RAAF), Caterpillar and Joy Global.

Rohan received his Bachelor of Mechatronics from QUT in 2016. He worked on QUT’s Robotronica event in 2015 and was part of the team of postdoctoral research fellows, PhD researchers and undergraduate students working on the winning entry to the Amazon Robotics Challenge in 2017.

Rohan has been working as a research engineer at QUT on the Centre’s Robotic Vision Evaluation and Benchmarking project since mid 2018. He is establishing and maintaining multiple mobile robot platforms for use by Centre researchers. Rohan hopes to make it easier for researchers to develop better ways for robots to interact with the real world.

Gavin graduated from QUT with a Bachelor in Games and Interactive Entertainment (Software Technology) in 2011, and a Bachelor of Information Technology (Honours I) in 2014. Since 2014 Gavin has worked in numerous roles at QUT, including as an Associate Lecturer within the school of Electrical Engineering and Computer Science; a Software Engineer with the Humanoid Robotics Project; and most recently as a Research Engineer with the Australian Centre for Robotic Vision. Gavin is also a PhD student studying part-time under Frederic Maire within the School of Electrical Engineering and Robotics.

Ben is a roboticist working at the intersection of novel research and the engineering required to bring these advances in robotics to the real world. He relishes the challenges that arise in translating research to real world applications, often drawing inspiration from our understanding of human cognitive processes when creating solutions. His research interests include cognitive robotics, artificial intelligence, and real world applications of robotic systems. He currently holds the position of Research Fellow at QUT, working in both the Australian Center for Robotic Vision and QUT Centre for Robotics.

With over 8 years of experience in robotics, Ben has worked on projects with a blend of both research and engineering outcomes. His PhD research was the core of an ARC Discovery Project (DP140103216) on using the human cues in built environments for robot navigation. Since then he has been working on facilitating the translation of novel research to the real world with the Evaluation and Benchmarking project in the Centre.  The work has created BenchBot; software that allows researchers to explore the performance of their novel research in photorealistic 3D simulation and on real robot platforms, with only a few lines of code. Ben is passionate about creating work that strengthens the robotics community, which has resulted in high-quality open source software like BenchBot and OpenSeqSLAM2.0.

Katrina Tune is the Centre’s Chief Operating Officer, holding responsibility for and oversight of the Centre’s operations. As a member of the Centre’s Executive Committee she also contributes to the Centre’s strategy. Katrina enjoys the variety involved in the Chief Operating Officer role as well as the ability to support and enable world class research through responsible, efficient and effective business services

Katrina is passionate about transformational leadership, organisational culture, equity and diversity in the workplace, and trying to find the fun wherever possible. She is also a Director on the Board of Epilepsy Queensland.

Kate is our Centre Manager and joined the Centre in October 2015. She looks after the day-to-day operations of the Centre including communications, event organisation, operational and strategic planning, and coordinating high level administration across the different Centre nodes. She coordinates the Centre’s Research Training program, events & workshops, internal newsletters, data collection and reporting. She loves working in the Centre’s dynamic and creative environment.

Kate has worked in research support since 2008. Before joining the Centre, she was based in the Creative Industries Faculty at QUT. During that time she supported a cohort of 350 research students and academic supervisors and facilitated the Faculty’s research training program. Prior to QUT, she worked as an English Instructor in Japan for nearly 4 years and has a further 10 years’ experience in service delivery roles. She commenced in the Master of Business Administration (MBA) program at QUT in 2015 and exited with the Graduate Certificate in Business Administration in 2016 to focus on her role and young family.

At heart she loves helping people and is interested in how robots can help people and in particular, help us monitor, protect and preserve our natural environment. Japan will always be her second home and she can’t wait to visit again with her two sons in tow. When she’s not at work, you’ll find her out in nature, bushwalking, camping and birding.

Before working at the Centre, Sarah lived in New Zealand and worked as a Compliance Support Officer for the Inland Revenue Department.

During her time here at Robotic Vision, she has helped plan and run our Annual Symposiums, RoboVis, at various locations across Australia.

In her spare time, Sarah likes to be with her family, scrapbook and play video/PC games.

Merryn worked from April-December 2020 as a Project Officer supporting the operations of the Australian Centre for Robotic Vision (ACRV) and the QUT Centre for Robotics (QCR).  In her role, she was responsible for coordinating the Centre’s Research Training program, events & workshops (including RoboVis 2020), and internal and external communications, which included social media and website content and layout.  She is now Centre Manager for the ARC ITTC for Collaborative Robotics in Advanced Manufacturing.

Before joining QUT, Merryn had spent 12 years in the UK.  Her previous roles include managing an IT Project Support team at University College London and coordinating the national recruitment of trainee surgeons throughout the UK for the NHS.

In her spare time, Merryn enjoys baking (and sharing her creations!), trying different beers and spending time with family and friends.

Shani joined QUT in 2011 as a Project Officer with the Centre for Tropical Crops and Biocommodities (CTCB). She then moved into Finance Officer roles with the Institute for Health and Biomedical Innovation (IHBI) and the Creative Industries Faculty. Shani has extensive experience in customer service, financial processing, reconciliation and office administration.

She is a member of CPA Australia and a graduate of the University of Sri Jayawardenapura (Sri Lanka) with a Bachelor of Science in Business Administration.

Outside work, Shani enjoys spending time with her family and snuggling with her dog Ollie.

Sandra has a background in health and education, specifically in research, project management and operation, event management and administration. She has previously held positions at the University of Queensland in the Faculty of Medicine and QUT in the Faculty of Business and most recently at the QUT International College where she was responsible for providing support in financial operations, scholarship coordination, project and event management and student services. She has also held roles in event management and accreditation for Cricket Australia and athlete educational coordination at Tennis Australia.

Sandra is passionate about fitness and sport and enjoys travelling, camping and spending time with her family including her two children. She is also currently studying a Master of Education at QUT.

Renee has over 20 years of experience working as a communication professional. She has worked in a range of diverse and challenging roles across the Queensland Government, not-for-private and private sector.

Along with strong capabilities in strategic communication planning, she also has practical project management experience and skills in media, events, social media, stakeholder engagement and campaign management.

Renee commenced working for QUT in 2020 and is excited to be part of a significant project that is both interesting and ground-breaking.

In her spare time Renee loves to be with her four children and partner, plays guitar, dabbles in art and enjoys the outdoors hiking and cycling.

Ireen joined the Centre as a Personal Assistant to Centre Director, Distinguished Professor Peter Corke in September 2018. Ireen brings extensive C-suite Executive Assistant support experience to the role, having worked for large corporate organisations including Deloitte, RACQ, Suncorp and ANZ.In her free time, you will find Ireen at the gym participating in group fitness classes (Ireen is a self-confessed fitness fanatic), or you will  find Ireen catching-up with friends over a beverage or two. Ireen also loves spending time with her family, friends and dog Laila.

Thuy is the Node Administration Officer at the University of Adelaide.

Thuy’s responsibilities, in regards to the ACRV and ACVT, include financial and administrative operations for the Adelaide node of the centre, including recruitment and HR and co-ordination of research grants; Coordinate and undertake financial reporting obligations including providing advice and facilitating information flows between researchers and Finance Management Accountants; Develop and maintain the collection of critical research data, metrics and outputs with timely delivery of reports; liaison with partner nodes and lead node (QUT) administrative personnel that is aligned to the School and Centre’s strategic plan.

Sandra has been working in administration for many years and since August 2015 for ARC Centre of Excellence for Robotic Vision’s Monash University node with Professor Tom Drummond.

Carol Taylor is the Node Administration Officer at ANU.  She has previously worked in Administration at the ANU including the ARC Centre of Excellence for Free Radical Chemistry and Biotechnology within the Research School of Chemistry and at the Research School of Pacific Studies and the Australian College of Mental Health Nurses. Outside of work Carol enjoys spending time with her family, reading, dancing and having a cup of tea.

Shelley joined the Australian Centre for Robotic Vision as Communications Specialist in July 2018. Convinced that everyone has a story to tell, she was our resident ‘Chatbot’ of sorts. Shelley brought 30 years’ experience in media and communications to the Centre from diverse roles across Australia and overseas, including in England, Africa, Hong Kong and the Galápagos Islands. In 2020, Shelley left the Centre for a seachange to the Sunshine Coast with her family.