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

  • We are excited to be organizing a full-day workshop on Automated Micro-Bio-Nano Factories at the 2019 IEEE International Conference on Robotics and Automation (ICRA).
  • I am honored to be nominated for the 2019 Big-on-Small Award by the International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS).
  • I am a recipient of the Top Engineer of the Year for 2018-2019 Award by the International Association of Top Professionals (IAOTP).
  • Our new paper on multiagent consensus optimization for supply networks is published in the October 2018 issue of the IEEE Robotics and Automation Letters.
  • Our new paper on sparse realization of topological data analysis (TDA) is published in the July 2018 issue of the IEEE Transactions on Knowledge and Data Engineering.