Towards Trustworthy Cyber-Physical System using Automation and Neuro-Symbolic AI

Dr. Rickard Ewetz is an Associate Professor in the Electrical and Computer Engineering (ECE) Department at the University of Central Florida. He received his Ph.D. degree in ECE from Purdue University in 2016. Her research interests are broadly focused on the intersection of hardware and artificial intelligence. This includes creating electronic design automation algorithms, hardware/software co-design methodologies for emerging in-memory computing systems. He is actively working on AI/ML topics such as explainable AI, robust AI, and neuro-symbolic AI. Over the last ten years, he has published over 70 peer-reviewed articles, including 21 publications on the prestigious CS Ranking list (DAC, ICCAD, MICRO, AAAI, IJCAI). His research has received four (4) best paper nominations from top-tier venues such as ICCAD, DATE, ASP-DAC, and MILCOM. His research is supported by DARPA, DOE, NSF, AFRL, Lockheed Martin Corp, Cyber-Florida, and the Florida High Tech Corridor Council.