معرفی
Song Han is a tenured Associate Professor at the University of Connecticut in the Department of Computer Science and Engineering under the School of Computing. He is affiliated with multiple research centers including UTC IASE Center, UConn InCHIP Institute, Connecticut Transportation Institute (CTI), NIA OAIC Center, NASA RETHi Institute, and DOT TIDC Center.
- PhD in Computer Science from the University of Texas at Austin (2012)
His research focuses on real-time systems, embedded systems, and cyber-physical systems, with applications in machine learning, networking, and safety-critical domains. His work spans theoretical and applied domains, integrating computer science with engineering innovation. He has secured funding from major agencies such as the National Science Foundation (NSF), NASA, NIH, and industry partners like Texas Instruments and Microsoft Research.
Song Han has received multiple honors, including two UConn Research Excellence Awards (2015, 2019) and best paper awards/nominations at top conferences like RTSS, ICII, EMSOFT, and RTAS. His publication record includes over 150 scholarly works, reflecting consistent contributions to real-time computing and embedded systems research.
Scientific Awards & Fellowships:
- UConn Research Excellence Award (2015)
- UConn Research Excellence Award (2019)
- Outstanding Paper Award, RTSS 2019
- Best Paper Award, ICII 2018
- Best Paper Award, RTSS 2013
- Best Paper Award Nomination, EMSOFT 2018
- Best Paper Award Nomination, RTAS 2011
- James C. Browne Graduate Fellowship (2010)
- Microelectronics and Computer Development Fellowship (2006-2009)
His research is supported by grants from the 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 UConn grants.
