About
Dr. Song Han received his Ph.D. in Computer Science from the University of Texas at Austin in 2012 under the supervision of Prof. Aloysius K. Mok and Prof. Simon S. Lam, and he joined the faculty at the University of Connecticut in 2013. Dr. Han is now the Pratt & Whitney Associate Professor in Advanced Systems Engineering in the School of Computing at UConn. He also held the Castleman Term Professorship in Engineering Innovation from 2020 to 2022. Dr. Han is an affiliated faculty member at the P&W Institute for Advanced System Engineering (IASE), Connecticut Transportation Institute (CTI), NIA OAIC Center at UConn, NASA RETHi Institute, and DOT TIDC Center. Dr. Han received three UConn Research Excellence Program Awards in 2015, 2019 and 2024, respectively, and held the James C. Browne Graduate Fellowship in 2010 and the Microelectronics and Computer Development Fellowship in 2006-2009. Dr. Han has published over 180 scholarly works, including the Outstanding Paper Award in RTSS 2019, the Best Paper Award in ICII 2018, the Best Paper Award in RTSS 2013, the Best Paper Award Nomination in EMSOFT 2018 and the Best Paper Award Nomination in RTAS 2011. Dr. Han’s research is supported by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), Air Force Research Lab (AFRL), U.S. Department of Transportation (US DOT), National Institutes of Health (NIH), Department of Energy (DOE), Emerson Automation Solutions, Texas Instruments, Microsoft Research and internal grants from UConn and UConn Health Center (UCHC).
Research Performance Summary
First Recorded Paper
Continuous residual energy monitoring in wireless sensor networks
Year: 2004
Citations: 22
Venue: International Symposium on Parallel and Distributed Processing and
Latest Recorded Paper
GR-WiFi: A GNU Radio based WiFi Platform with Single-User and Multi-User MIMO Capability
Year: 2025
Citations: 0
Venue: arXiv preprint arXiv:2501.06176
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.