Shengquan Wang

Dr. Shengquan Wang is an Associate Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn, affiliated with the College of Engineering and Computer Science. His career spans over a decade, with prior academic experience at Texas A&M University as a Research/Teaching Assistant. He received his Ph.D. in Computer Science from Texas A&M University in 2006, preceded by M.S. degrees in Mathematics (Texas A&M, 2000) and Applied Mathematics (Shanghai Jiao Tong University, 1998), and a B.S. in Mathematics (Anhui Normal University, 1995).

Research Interests

• Real-Time Systems
• Sustainable Computing (Power/Energy/Thermal Management)
• Networks and Distributed Systems
• Security and Privacy
• Optimization and Machine Learning

Publication Trends

His work focuses on real-time systems under thermal constraints, secure overlay architectures, and energy-efficient server farms. Recent research explores statistical delay guarantees in wireless networks and nonmonotone optimization techniques. Collaborations span institutions like Texas A&M University and Karlsruhe Institute of Technology.

Awards and Grants

• NSF CAREER Award (CNS 0746906)
• Rackham Faculty Research Grant
• Best Paper Award at ECRTS 2006

Advising and Leadership

Dr. Wang advises Ph.D. and Master's students like Jun Liu and Nan Wang, fostering innovation in sustainable systems. He leads the Research Laboratory for Sustainable Systems (RLSS), focusing on thermally constrained real-time systems and secure computing.