Ashis G. Banerjee

Assistant Professor of Industrial & Systems Engineering and Mechanical Engineering

University of Washington

Welcome

I am a member of the University of Washington (UW) faculty in the College of Engineering, where I direct the Scale-independent Multimodal Automated Real Time Systems (SMARTS) Lab. I am also affiliated with the Boeing Advanced Research Center (BARC). Prior to joining UW, I was a Research Scientist at GE Global Research, Niskayuna, NY, and a Research Scientist and Postdoctoral Associate in the Robust Robotics Group at MIT. I obtained both my Ph.D. and M.S. in Mechanical Engineering at the University of Maryland with Prof. S.K. Gupta, and B.Tech. in Manufacturing Science and Engineering at the Indian Institute of Technology, Kharagpur.

The goal of my research program is to develop automated decision-making methods for cyber-physical systems to achieve optimal and robust performances. Such systems include multiple, heterogeneous entities (humans, robots, smart devices, passive components, etc.) and occur at widely varying spatial and temporal scales from controlled micro-bio environments to large manufacturing enterprises. The methods have to be novel to address unsolved challenges, theoretically sound to provide performance guarantees, and both computationally efficient and easily realizable to be practically useful. These requirements lead to a cyclic approach involving the tight coupling of mathematical and physical modeling of system dynamics, model-based stochastic planning and control, and system behavior data-driven knowledge discovery leading to continuous model refinement. Please visit the Projects and Publications pages for details on the specific methods and the application domains.

Latest News

  • I am happy to have been selected for the 2019 Amazon Research Award (ARA).
  • I am serving as an Associate Editor for the Journal of Micro-Bio Robotics (JMBR).
  • Congratulations to Dr. Wei Guo for successfully defending her Ph.D. dissertation on Feature Selection and Extraction Using Topological Data Analysis.
  • I am serving as an Associate Editor for the IEEE Robotics and Automation Letters (RA-L).
  • I will serve as the Awards Chair for the 2021 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS). I will also organize a Special Session on Machine Learning in Small-Scale Robotics. Please consider submitting to this conference!
  • Our new paper on segmentation of indoor object manipulation actions for ergonomic risk prediction is published in the October 2019 issue of the IEEE Robotics and Automation Letters (RA-L). The work also appeared in a story published by UW News and was covered by other several other media sources.