Prof. Khargonekar is an expert in control and systems theory, cyber-physical systems, and applications to manufacturing, renewable energy and smart grids, biomedical engineering. Most recently, he has been working on the confluence of machine learning for control and estimation. Beyond these, he is deeply interested in understanding and improving processes that connect research to innovation.
Magnus Egerstedt is the Dean of Engineering and professor in Electrical Engineering and Computer Science, Mechanical and Aerospace Engineering at University of California, Irvine. His research involves control theory and robotics, control and coordination of complex networks, multirobot systems, mobile sensor networks and cyber-physical systems.
Yasser Shoukry is an Assistant Professor at University of California, Irvine. He received his PhD from UCLA working under the supervision of Prof. Paulo Tabuada (CyPhy Lab) and Prof. Mani Srivastava (NESL Lab). He previously received his B.Sc. degree in computer engineering at Ain Shams University in 2007, with distinction and honors. He also received his M.Sc. degree in computer engineering at Ain Shams University in 2010 under supervision of Prof. Sherif Hammad and Prof. Watheq El-Kharashi.
Kwon is an assistant professor in the EECS department at the University of California, Irvine (UCI). Before he joined UCI, he was a research scientist at Meta’s (formerly Facebook) Reality Labs. He works on deep learning accelerators with flexible dataflow and mappings based on data- and communication-centric approaches. Kwon earned his doctorate in computer science and while at Georgia Tech, he developed a flexible deep neural network accelerator called MAERI and an open-source infrastructure for modeling dataflows within deep learning accelerators called MAESTRO. His thesis was recognized with an honorable mention at the 2021 Outstanding Dissertation Award competition of the Association for Computing Machinery’s Special Interest Group on Computer Architecture/IEEE Computer Society’s Technical Committee on Computer Architecture. He is co-author of a book on computer architecture and has published 25 peer-reviewed articles.
Professor An H. Do is currently working with the University of California, Irvine in the Department of Neurology. His research involves brain-computer interfaces, spinal cord injury, neurology, neuroscience, neural engineering, and biomedical devices.