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Mahdi Kazemi

Mahdi Kazemi

Mahdi is a PhD student at the Australian Institute for Machine Learning in Adelaide, supervised by Prof. 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 Ph.D, 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.

Australian Centre for Robotic Vision
2 George Street Brisbane, 4001
+61 7 3138 7549