Meet the Volume Editors

Yang (Cindy) Yi is a tenured associate professor in the Bradley Department of Electrical and Computer Engineering (ECE), Virginia Polytechnic Institute and State University (Virginia Tech), USA, where she is also the director of the Multifunctional Integrated Circuits & Systems (MICS) Group. Over the past 18 years, she has been working on various research topics in integrated circuits, neuromorphic computing, high performance computing and com-

munication at Texas A&M University, IBM, Freescale, Intel, Texas Instruments (TI), University of Missouri Kansas City, University of Kansas (KU), and Virginia Tech. She has 180 publications in international journals, conference proceedings, and book chapters to her credit. Eleven of her papers have been selected for various best paper awards. Dr. Yi has received numerous awards for her research and service, including 2023 Institute of Electrical and Electronics Engineers (IEEE) Featured Author, 2020 Jeffress Trust Research Award, 2019 Virginia Tech College of Engineering Faculty Fellow and Virginia Tech Institute for Critical Technology and Applied Science (ICTAS) Junior Faculty Award, 2018 National Science Foundation (NSF) CAREER Award, a United States Air Force (USAF) Summer Faculty Fellowship, 2016 University of Kansas (KU) Miller Professional Development Award for Distinguished Research, NSF CISE Research Initiation Initiative (CRII) Award, NSF EPSCoR First Award, USAF Summer Faculty Fellowship, 2015 KU Miller Scholar Award, KU New Faculty General Research Award, Air Force Research Lab (AFRL) Visiting Faculty Research Fellowship, University of Missouri (MU) Academic Program Faculty Scholar, and 2014 MU Outstanding Service Award.

Hongyu An is an Assistant Professor of Electrical and Computer Engineering, Michigan Technological University, USA. He obtained his doctoral degree in Electrical Engineering at Virginia Polytechnic Institute and State University (Virginia Tech), USA. Prior to Virginia Tech, he received his MS and BS in Electrical Engineering at Missouri University of Science and Technology, USA, and Shenyang University of Technology, China, respectively. He was

awarded the Bill and LaRue Blackwell thesis/dissertation award in 2020. His areas of interest include neuromorphic computing and engineering, neuromorphic electronic circuit design for artificial intelligence systems, and artificial intelligence for robotics and medical devices.
