Mahdi Kazemi

• Associated PhD Researcher
• University of Adelaide
• 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 in  Computer Science at the University of Adelaide, with First class Honours, where he was awarded the faculty’s Valedictorian Award (among eight schools) and the Dean’s Academic Excellence Award for his exceptional performance throughout his degree.

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

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