Keynote
Henry B.L. Duh, Ph.D.
Speech Topic:
Human Interaction in Virtual Space: Cybersickness and locomotion Professor Duh is the Associate Dean of School of Design, Director of PolyU-NVIDIA Joint Research Centre, Program Director of MSc in Innovative Multimedia Entertainment at Hong Kong Polytechnic University. He received his degrees in psychology, industrial design and engineering respectively and did his postdoctoral training in NASA-Johnson Space Centre involved in the virtual reality training project. Prof. Duh is a Fellow of British Computer Society and the Institution of Engineering and Technology; Co-Chair of IEEE SMC TC on Visual Analytics and Communication; He has published more than 150 conference and journal papers including IEEE TVCG, IEEE VR, IEEE ISMAR, ACM CHI. He was IEEE ISMAR 2019, 2020 conference co-chair and 2012, 2013, 2014 and 2022 program co-chair. His research focuses on augmented/virtual reality, user experience and interaction design. His research projects have received supports from National Research Foundation Singapore, Australian Research Council and University Grant Committee Hong Kong.
Yifan (Evan) Peng
Speech Topic:
Towards Computational Displays for VRAR: When Optics Meets Machine Intelligence I am an Assistant Professor at HKU Electrical & Electronic Engineering and Computer Science. I was a Postdoctoral Research Scholar at Stanford University Computational Imaging Laboratory. I received my PhD in Computer Science from the Imager Lab, the University of British Columbia. During the PhD, I was a Visiting Student Researcher at Visual Computing Center, KAUST, and at Stanford. I received both my MS and BS in Optical Science and Engineering from the State Key Lab of Modern Optical Instrumentation, Zhejiang University. My research interest lies in the interdisciplinary field of Optics, Graphics, Vision, and Artificial Intelligence, particularly with the focus of: Computational Optics, Imager, Sensor, and Display; Holography & VR/AR/MR; Coded Microscope Imaging; Low-level Computer Vision; Inverse Rendering; Human-centered Visual & Sensory Systems.
