UNIVERSITY PARK, Pa. — Members of the Penn State community are invited to join the College of Information Sciences and Technology (IST) for IST Research Talks, a series of lectures that highlight the interdisciplinary work of Penn State faculty and scholars.
The first set of talks is scheduled for 12:05–1:15 p.m. on Sept. 11 in E202 Westgate Building. It will feature James Wang, distinguished professor of IST and a Center for Socially Responsible Artificial Intelligence faculty affiliate; and Sharon Huang, David Reese Professor of Information Sciences and Technology, interim head of IST’s Department of Informatics and Intelligent Systems, Institute for Computational and Data Sciences associate faculty and a Huck Institutes of the Life Sciences faculty affiliate.
“Visions of Emotion: Decoding Human Bodily Expressions”
Wang will present “Visions of Emotion: Decoding Human Bodily Expressions.” He will discuss his lab’s work to integrate knowledge from computing, psychology and the performing arts to enable AI technology to understand and analyze human emotion through body language.
Wang’s research interests include automatic image tagging/recognition, climate informatics, biomedical informatics, computability of aesthetics and emotions, semantics-sensitive image retrieval, story picturing, art image analysis and retrieval and image security. He has a doctoral degree in medical information sciences from Stanford University, master’s degrees in mathematics and computer science from Stanford University, and a bachelor’s degree in mathematics and computer science from the University of Minnesota Twin Cities.
"Synthetic Image and Video Generation for Data Augmentation and Sharing in Medical Applications"
Huang will present "Synthetic Image and Video Generation for Data Augmentation and Sharing in Medical Applications." She will discuss generative models that create realistic medical images and videos, highlighting their use for enhancing classification, enabling privacy-preserving data sharing and advancing large-scale medical artificial intelligence (AI) training.
Huang’s research interests are in the areas of generative AI, computer vision, biomedical image analysis and machine learning. She has doctoral and master’s degrees in computer science from Rutgers University and a bachelor's degree in computer science from Tsinghua University.
Details of upcoming and past talks and recordings can be found at the Research Talks website.