Our Faculty

headshot of Kuang-Ching Wang

Kuang-Ching Wang

Professor of Empire Innovation, Director of the School of Computing

School of Computing
EB P08

Background

Professor Kuang-Ching “KC” Wang is Empire Innovation Professor of Trustworthy AI and Director of the School of Computing at the Thomas J. Watson College of Engineering and Applied Science. Prior to Binghamton, Wang served at Clemson University as Provost Distinguished Professor of Electrical and Computer Engineering and held numerous leadership roles, including the C. Tycho Howle Endowed Chair in Collaborative Computing, Associate Director of Research for the Watt Family Innovation Center, Co-director of the Clemson AI Research Institute, and Executive Director of Clemson STRIDE, an NSF Accelerating Research Translation program.

Wang was born and raised in Taiwan, and he came to the United States for his PhD study at University of Wisconsin - Madison. He began his faculty career at Clemson and spent the next two decades building and leading an exciting breadth of collaborative research with researchers across U.S. and the globe. His research centers on computing and networking systems, developing innovative solutions for applications in artificial intelligence, healthcare, cyber-physical systems and cybersecurity.

Wang has led more than $100 million sponsored research, leading multi-university teams to build NSF FABRIC and NSF CloudLab — the nation’s most advanced Internet and distributed cloud computing systems. Powered by such unprecedented scale of computing and networking capabilities, Dr. Wang has committed his research to the mission of transforming our healthcare with pervasive AI technologies.

Wang is passionate about educating students beyond discipline boundaries. He founded Watt AI, a campus-wide AI education program that teaches AI to students from any major and enables them to work on applied AI research with professors from different colleges.

Education

  • PhD - Electrical Engineering, University of Wisconsin-Madison, Madison, Wis.

Research Interests

  • Future internet
  • Big data computing systems
  • Cyber-physical systems
  • Wireless and sensor networks
  • Software-defined infrastructure