The second part will showcase AI-driven innovations in health applications. This includes work on decoding speech from intracranial neural signals, with the long-term goal of developing neuroprosthetics for individuals with speech impairments. We will also discuss interpretable, robust, and parameter-efficient learning frameworks that unroll optimization algorithms, with applications to MRI image denoising and reconstruction.
Bio: Professor Yao Wang is a Professor of Electrical and Computer Engineering and Biomedical Engineering at NYU Tandon. She is a recognized expert in video coding, networked video applications, medical imaging, and computer vision. Wang received her Bachelor of Science and Master of Science in Electronic Engineering from Tsinghua University in Beijing, China in 1983 and 1985, respectively, and a PhD in Electrical and Computer Engineering from the University of California at Santa Barbara in 1990. She authored the well-known textbook Video Processing and Communications in addition to writing numerous book chapters and journal articles. She has also served as the associate editor of Institute of Electrical and Electronics Engineers’ (IEEE) Transactions on Multimedia and Transactions on Circuits and Systems for Video Technology. Wang was elected a Fellow of the IEEE for her contributions to video processing and communications in 2004. She received the New York City Mayor’s Award for Excellence in Science and Technology, Young Investigator Category, in 2000; the IEEE Communications Society Leonard G. Abraham Prize Paper Award in the Field of Communications Systems in 2004; the IEEE Communications Society Multimedia Communication Technical Committee Best Paper Award in 2011.