Please join us for the next AIM Virtual Talk, featuring AIM Core Faculty member Yu Gan, Associate Professor in the Fischell Department of Bioengineering, in conversation with AIM affiliate Ming Lin, Distinguished University Professor of Computer Science.
This talk will explore how AI can move beyond image recognition to understand dynamic, real-world environments and support meaningful decision-making. Yu and Ming will discuss advances in visual perception, reasoning, and synthesis, with applications spanning bioimaging, food safety, rehabilitation, simulation, and interactive intelligent systems.
The session includes about 45 minutes of conversation followed by 15 minutes of audience Q&A. It is open to the UMD community and the public.
Once you register, we will send you a calendar invitation with the Zoom link. If you have already registered for this talk through either form, you are all set.
Ming C. Lin is currently Distinguished University Professor, Dr. Barry Mersky and Capital One E-Nnovate Endowed Professor, former Elizabeth Stevinson Iribe Chair of Computer Science at the University of Maryland College Park, and John R. & Louise S. Parker Distinguished Professor Emerita of Computer Science at the University of North Carolina (UNC), Chapel Hill. She is also an Amazon Scholar. She obtained her B.S., M.S., and Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. She received several honors and awards, including NSF Young Faculty Career Award, Honda Research Initiation Award, UNC/IBM Junior Faculty Development Award, UNC Hettleman Award for Scholarly Achievements, Beverly W. Long Distinguished Professorship, IEEE VGTC Virtual Reality Technical Achievement Award, and many best paper awards at international conferences. She is a Fellow of National Academy of Inventors, ACM, IEEE, Eurographics, ACM SIGGRAPH Academy, and IEEE VR Academy.
Her research interests include AI/ML, computational robotics, virtual reality, physically-based modeling, multimodal interaction, and geometric computing. She has (co-)authored more than 400 refereed publications in these areas and several books. She has served on hundreds of program committees of leading conferences and co-chaired dozens of international conferences and workshops. She is currently an elected member of Computing Research Association (CRA) and CRA-Widening Participation (CRA-WP) Board of Directors and Chair of IEEE Computer Society (CS) Goode Award Committee. She was a former chair of IEEE CS Computer Pioneer Award and IEEE CS Fellow committee, and the Founding Chair of ACM SIGGRAPH Outstanding Doctoral Dissertation Award. She is also a former member of IEEE CS Board of Governors, a former Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics (2011-2014), a former Chair of IEEE CS Transactions Operations Committee, and a member of several editorial boards. She also served on steering committees and advisory boards of several international conferences, government and industrial technical advisory committees.
Yu Gan is a tenured Associate Professor in the Fischell Department of Bioengineering at University of Maryland, College Park. I am also a core faculty member in Artificial Intelligence Interdisciplinary Institute at Maryland and affliated with Electrical and Computer Engineering Department at UMD. I earned my Ph.D. in Electrical Engineering from Columbia University in the year of 2017 under the supervision of Dr. Christine P. Hendon. Prior to UMD, I was an Associate Professor in Department of Biomedical Engineering at Stevens Institute of Technology. I am the awardee of NSF CAREER award. I lead the Computational Learning, Artificial Representation, and Imaging Technology (CLARITY) Lab, with a focus on machine learning and deep learning techniques that facilitate biomedical imaging and dig out hidden information from medical/biomedical data for generative, agentic, and trustworthy solutions. I am the recipient of multiple research awards supported by National health institute (NIH, R01, R21), NJ Health Foundations, National science foundation (NSF, CAREER, CRII), US Department of Agriculture (USDA, Data Science), Research Corportation for Science Advancement, Arnold and Mabel Beckman Foundation, and Burrough Wellcome foundation. He serves as an Associate Editor for Medical Image Analysis. He is a senior member of IEEE and SPIE.