School of Engineering

John Ting-Yung Wen
Professor
Director of the Center for Automation Technologies and Systems (CATS) http://www.cats.rpi.edu/~wenj

Department Affiliation:

Department of Mechanical, Aerospace & Nuclear Engineering
Department of Electrical, Computer, & Systems Engineering

Education:

Ph.D., Rensselaer Polytechnic Institute
Computer and Systems Engineering

M.S., University of Illinois at Urbana-Champaign
Electrical Engineering

B.S., McGill University
Electrical Engineering

Background:

John Ting-Yung Wen received B.Eng. from McGill University in1979, M.S. from University of Illinois in 1981, and Ph.D. from Rensselaer Polytechnic Institute in 1985, all in Electrical Engineering. From 1981-1982, he was a system engineer at Fisher Controls where he developed a plant-wide coordination control system for pulp and paper plants. From 1985-1988, he was a member of technical staff at the Jet Propulsion Laboratory where he developed new modeling and control algorithms for large space structures and space robots. Since 1988, he has been with Rensselaer Polytechnic Institute where he is currently a professor in the Department of Electrical, Computer, and Systems Engineering with a joint appointment in the Department of Mechanical, Aerospace, and Nuclear Engineering. He was an ASEE/NASA Summer Faculty Fellow in 1993, a Japan Society for the Promotion of Science (JSPS) Senior Visiting Scientist in 1997, and has received eleven NASA Tech Brief Awards. Dr. Wen has over 100 technical publications. His research interest lies in the general area of dynamic modeling, control, and motion planning for complex electromechanical systems, including flexible structures, robots, and vehicles, and material processing systems, and network based control, including congestion regulation, multi-robot coordination, and distributed control. Dr. Wen is a Fellow of IEEE.

Read More: http://www.cat.rpi.edu/~wen

Research Interests:

Distributed estimation and control: Motivated by collaborative load carrying by ants, we are studying coordination through indirect communication. Applications include multi-robot coordination, distributed resource allocation in data networks, and wireless communication.