Organizers

Yuhao Chen is currently a research assistant professor at the Vision and Image Processing Lab (VIP) in systems design engineering at the University of Waterloo. He obtained his B.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University in 2015 and 2019, respectively, while being a member of the Video and Image Processing (VIPER) laboratory. Yuhao’s research has been focused on developing computer vision and artificial intelligence solutions for food computing, agriculture, and manufacturing applications.

Jiangpeng He is a post-doc research scientist of the Elmore Family School of Electrical and Computer Engineering at Purdue University, West Lafayette, Indiana. Dr. He received a Bachelor of Science degree in the University of Electronic Science and Technology of China in 2017 and Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2022. His research interests include computer vision, continual learning, image-based dietary assessment, and application-driven visual data analysis.

Fengqing Maggie Zhu is an Associate Professor of the Elmore Family School of Electrical and Computer Engineering at Purdue University, West Lafayette, Indiana. Dr. Zhu received the B.S.E.E. (with highest distinction), M.S. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University in 2004, 2006 and 2011, respectively. Her research interests include smart health with a focus on image-based dietary assessment and wearable sensor data analysis, visual coding for machines, and application-driven visual data analytics. Prior to joining Purdue in 2015, she was a Staff Researcher at Futurewei Technologies, where she received a Certification of Recognition for Core Technology Contribution in 2012. She is the recipient of an NSF CISE Research Initiation Initiative (CRII) award in 2017, a Google Faculty Research Award in 2019, and an ESI and trainee poster award for the NIH Precision Nutrition workshop in 2021. Dr. Zhu is a senior member of the IEEE.

Edward Delp was born in Cincinnati, Ohio. He received the B.S.E.E. (Cum Laude) and M.S. degrees from the University of Cincinnati, and the Ph.D. degree from Purdue University. In May 2002, he received an Honorary Doctor of Technology from the Tampere University of Technology in Tampere, Finland. In 2008 he was named a Distinguished Professor and is currently The Charles William Harrison Distinguished Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering. His research interests include image analysis, computer vision, machine learning, image and video compression, multimedia security, medical imaging, multimedia systems, communication, and information theory. Dr. Delp has also consulted for various companies and government agencies in the areas of signal, image, and video processing, pattern recognition, and secure communications. He has published and presented more than 750 papers.

Alexander Wong, P.Eng., is currently the Canada Research Chair in Artificial Intelligence and Medical Imaging, Member of the College of the Royal Society of Canada, Fellow of the Institute of Engineering and Technology, Fellow of the Institute of Physics, Fellow of the Royal Society of Public Health, Fellow of the International Society for Design and Development in Education, co-director of the Vision and Image Processing Research Group, and a professor in the Department of Systems Design Engineering at the University of Waterloo. He has published over 650 refereed journal and conference papers in various fields such as computational imaging, artificial intelligence, computer vision, and multimedia systems.

Pengcheng Xi is a Senior Research Scientist at the National Research Council Canada (NRC) and holds Adjunct Professor positions at both Carleton University and the University of Waterloo. His research primarily focuses on machine learning and deep learning, with applications in computer vision, graphics, image processing, robotics, signal analysis, and human modeling. He actively contributes to the academic community as an Associate Editor for the IEEE Canadian Journal of Electrical and Computer Engineering, a guest editor for MDPI journals, and a technical program committee member for prestigious conferences. In 2014, he received the Alice Hamilton Award for Occupational Health and Safety from the US Centers for Disease Control and Prevention. Pengcheng's academic background includes a B.E. and an M.E. in Computer Engineering, an M.S. in Computer Science from the University of Ottawa, and a Ph.D. in Electrical and Computer Engineering from Carleton University.