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| Tim Rolff is a 4th year PhD candidate in the Computer Vision and Human-Computer Interaction group at the University of Hamburg, Germany. In his research, he focuses on the prediction of human gaze and gaze events in virtual reality, investigating algorithms for gaze prediction and eye movement analysis. A major emphasis of his work lies on time-to-event prediction of egocentric gaze events using machine learning and deep learning, predicting the “when” and “where” we look in VR. In his spare time, he enjoys working on improving neural radiance fields for VR. |
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| Vidhya Navalpakkam is a Principal scientist in Google research. Her passion is to advance large-scale understanding of human attention and behavior, by combining advances in ML, with insights from Neuroscience and Cognitive Psychology. Her work has been published at top venues including Nature communications, Nature Neuroscience, Nature Digital Medicine and PNAS. Her work has diverse applications from enabling delightful and accessible user experiences for products, to innovative applications for improved health, wellness and accessibility. Before joining the industry, she worked on modeling attention mechanisms in the brain at Caltech and USC. She has a bachelors in Computer Science from IIT Kharagpur. In her leisure time, she enjoys exploring the California coast with her family, and watching Hayao Miyazaki’s movies. |
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| Bertram E. Shi is a Professor of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST), where he has been a faculty member since 1994 and has served previously as the Acting Dean of the School of Engineering and as the Head of the Department of Electronic and Computer Engineering. He currently directs the HKUST Center for Aging Science and is Associate Director of the HKUST-HKSI Joint Institute on Sports Science and Technology. He has held visiting positions in the EECS Department at the Massachusetts Institute of Technology and in the Department of Bioengineering at the University of Pennsylvania. His research interests are in neuromorphic engineering, artificial intelligence, bio-inspired signal processing and robotics, computational neuroscience, developmental robotics and machine learning. Prof. Shi was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) “for contributions to the analysis, implementation and application of cellular neural networks.” He was twice appointed as a Distinguished Lecturer for the IEEE Circuits and Systems Society. He has served on the editorial boards of a number of IEEE Transactions, and has chaired Technical Committees and Conferences in his research area. |
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