Dr. Zehong (Jimmy) Cao is a Senior Lecturer in AI and leads human-machine interaction and learning, connecting with Research Centres of Industrial AI and Virtual and Interactive Environments at the University of South Australia (UniSA). He received the prestigious Australian Research Council - Discovery Early Career Researcher Award (DECRA) Fellowship 2022 and holds an exceptional UniSA Enterprise Fellowship from 2021. He completed the PhD degree at the Australian AI Institute, the University of Technology Sydney in 2017 and has authored more than 70 papers published in top-tier ACM/IEEE journals and conferences. He is an Associate Editor of IEEE T-FS and T-NNLS, and a Chief Investigator of competitive national and international grants supported by government and industry. His research areas cover foundations and applications in interactive machine learning, brain-computer interface, and decision marking between humans and AI. For recent updates and detailed information, please visit his personal website: https://czh513.github.io
To request a single lecture/event, click on the desired lecture and complete the Request Lecture Form.
Computational Intelligence for Brain-Computer Interface Applications
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased...
Deep Reinforcement Learning with Human Intervention Applications
Deep reinforcement learning (DRL) considers the problem of machine agent learning to make decisions by trial and error and make decisions to maximise rewards by continuously interacting with the...
To request a tour with this speaker, please complete this online form.
If you are not requesting a tour, click on the desired lecture and complete the Request this Lecture form.
All requests will be sent to ACM headquarters for review.