Yarui Peng received the B.S. degree from Tsinghua University, Beijing, China in 2012. He earned his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, USA in 2014 and 2016, respectively. He is currently an Assistant Professor in Computer Science and Computer Engineering Department at University of Arkansas. He also works with the NSF sponsored Engineering Research Center for Power Optimization of Electro-Thermal Systems.

His research interests are in the areas of computer-aided design, analysis, and optimization for VLSI circuits and emerging technologies, such as 2.5D and 3D ICs, high band-gap power electronics and systems, and high-efficiency digital designs and memory systems. He developed methodologies and algorithms for parasitic extraction, analysis and optimization for signal integrity, and alleviating reliability issues in thermal and power delivery in 2.5D and 3D ICs. He is also working on improving electro-thermal reliability in power systems such as multi-chip power modules (MCPMs) by performing MCPM layout synthesis and simultaneously optimizing heat dissipation and electrical performance. He is the recipient of best-in-session award in SRC TECHCON 14, best student paper award in ICPT 16 and best paper award in EDAPS 17. He is an NSF CAREER Award winner in 2021.

Mehran Sanjabiasasi joined in Computer Science and Computer Engineering department at the University of Arkansas in 2023 as a Ph.D. student. He received the B.S. in electrical engineering from the Islamic Azad University Bojnourd Branch, Bojnourd, Iran, in 2008, and the M.S. degree from the Islamic Azad University South Tehran Branch, Tehran, Iran, in 2013.

His research interests include power systems operation and planning, design automation and optimization tools for power electronics modules as well as the implementation of Artificial Intelligence (AI), machine learning and optimization algorithms in electrical engineering.

Currently, he is working as a POETS (Power Optimization of Electro-Thermal Systems) student on Power Electronics CAD. He is developing and implementing machine learning and optimization algorithms for Computer Aided Design (CAD) tool for power electronic modules.2023