KANG G. SHIN (신강근)

After spending almost 5 decades as an academic I retired from regular teaching and university committees as of December 31, 2025 but remain active in pursuing exciting research ideas and working with my PhD students and postdocs as well as visitors. I am now the Kevin and Nancy O'Connor Professor Emeritus of Computer Science in the Department of Electrical Engineering and Computer Science at The University of Michigan. It has been my immense joy and privilege to work with a great many excellent students (especially 94 PhD students so far), postdocs, visitors and faculty colleagues.

I am still exploring hgh-impact research problems in the areas of mobile/wireless networks and systems & apps, security and privacy, as well as cyber-physical systems with embedded AI, especially semi-autonomous (human-in-the-loop) systems. My group has also been using and/or developing AI (machine learning in particular), digital signal processing and control algorithms to address the various issues associated with safety, reliability, security and privacy of these systems and applications. These research issues are often motivated by, and hence their results are applicable to, real-life systems such as autonomous cars & robots, smart phones and homes, smart connected communities, and human health & wellness.

I have led several major research projects, including:

Mobile wireless networking and computing, including cognitive-radio or software-defined wireless networks, 5G wireless LANs, mobile sensing and apps.

Computation & network security and privacy, including location privacy, self-securing embedded or cyber-physical systems, botnets, and application protection in untrusted environments.

Intelligent cyber-physical systems by integrating embedded AI and system SW with real-life physical systems like large-scale energy storage systems, ground and space/air vehicles; low-power embedded real-time OS, scheduling theory, middleware, and networks.

Resilient and efficient cloud computing service and operation via virtualization-based server consolidation, replication and resource management.

Click here for details of these projects and recent publications.

Short biosketch: click here

REAL-TIME COMPUTING LABORATORY
Department of Electrical Engineering
and Computer Science
The University of Michigan
2260 Hayward St.
Ann Arbor, MI 48109-2121

PHONES:

+1 734-763-0391 (voice)
+1 734-763-8094 (fax)

E-MAIL: kgshin@umich.edu