Associate Director, Boeing Advanced Research Center
- (206) 685-3401
- MEB 326
- Faculty Website
- Precision Controls Lab
Santosh Devasia received the B.Tech. (Hons) from the Indian Institute of
Technology, Kharagpur, India, in 1988, and the M.S. and Ph.D. degrees
in Mechanical Engineering from the University of California at Santa
Barbara in 1990 and 1993 respectively. He joined the UW Department of Mechanical Engineering in 2000. In addition to directing the Precision
Controls Laboratory, he serves as the Associate Director of the Boeing
Advanced Research Center at the University of Washington, which focuses
on the manufacturing and assembly of aircraft and spacecraft structures.
- Ph.D. Mechanical Engineering, University of California, Santa Barbara
- M.S. Mechanical Engineering, University of California, Santa Barbara
- Bachelor of Technology, Mechanical Engineering, Indian Institute of Technology, Kharagpur, India
Santosh Devasia's current research interests include: iterative control and its application to human-machine interaction; distributed systems, manufacturing and robotics; and biomedical applications such as mixing and separation with soft actuators.
For an overview of his current research projects, visit his faculty website.
- A. Boekfah and S. Devasia “Feedforward-based Output-Boundary Regulation for Nonminimum-Phase Systems,” IEEE Transactions on Control Systems Technology, Vol.24 (1), pp. 265-275, January 2016.
- B. P. Smith, M. Ashrafi, M. E. Tuttle, and S. Devasia “Bondline Temperature Control for Joining Composites with an Embedded Heater,” ASME Journal of Manufacturing Science and Engineering, Vol.138 (2), Article number 021011, pp. 1-9, February 2016.
- S. Devasia “Iterative Learning Control with Time-Partitioned Update for Collaborative Output Tracking,”Automatica, Vol. 69, pp. 258-264, July 2016.
- S. Devasia, and A. Lee “Scalable Low-Cost-Unmanned-Aerial-Vehicle Traffic Network,”AIAA Journal of Air Transportation, Vol. 24 (3), pp. 74-83, July 2016.
- R. Warrier, and S. Devasia “Iterative Learning from Novice Human Demonstrations for Output Tracking,” IEEE Transactions on Human-Machine Systems, Vol. 46 (4), pp. 510-521, August 2016.