Ashis Banerjee

Assistant Professor
Industrial & Systems Engineering

Assistant Professor
Mechanical Engineering


  • Ph.D. in Mechanical Engineering, University of Maryland, 2009
  • M.S. in Mechanical Engineering, University of Maryland, 2006
  • B.Tech. in Manufacturing Science and Engineering, Indian Institute of Technology, 2004

Previous appointments

  • Research Scientist, Complex Systems Engineering Laboratory, General Electric Global Research, Sept 2012 – July 2015
  • Research Scientist, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Jan 2012 – Aug 2012
  • Postdoctoral Associate, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Sep 2009 – Dec 2011

Research Statement

Dr. Banerjee’s research is on developing automated decision-making systems for multiple agents (robots and humans) that operate in uncertain environments. Such systems are useful in a wide variety of manufacturing and biomedical applications at different spatial and temporal scales. Examples include manipulation of industrial parts using mobile ground robots, management of inventory levels in large-scale assembly plants, control of biological cells with optical tweezers, and support of clinicians in prescribing treatment plans for cancer patients.

For all of these systems, automated decision-making requires generation of feasible action sequences for the agents to optimize a given set of operational objectives. To achieve this end, his approach is to integrate physical and mathematical modeling of system dynamics, model-based stochastic optimal control and planning, and system response data-driven knowledge discovery leading to model refinement. The integration effort is supplemented by the development of novel, theoretically rigorous, and computationally efficient modeling, optimization, and data analysis methods that leverage key system characteristics to achieve robust performance.

Dr. Banerjee’s work has been recognized with several awards and honors including the 2012 Most Cited Paper Award from the Computer-Aided Design journal, the 2009 Best Dissertation Award from the Department of Mechanical Engineering at the University of Maryland, and the 2009 George Harhalakis Outstanding Systems Engineering Graduate Student Award from the Institute for Systems Research at the University of Maryland. He has also been invited to present his work at the inaugural University of Southern California symposium on the “Futures of Robotics” and the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems anniversary workshop on “20 years of Microrobotics: progress, challenges, and future directions.”

Select publications

  1. W. Guo and A. G. Banerjee. Toward Automated Prediction of Manufacturing Productivity Based on Feature Selection Using Topological Data Analysis. In Proceedings of IEEE International Symposium on Assembly and Manufacturing, Ft. Worth, TX, 2016.
  2. M. Bollavaram, P. Sane, S. Chowdhury, S. K. Gupta, and A. G. Banerjee. Automated Detection of Live Cells and Microspheres in Low Contrast Bright Field Microscopy. In Proceedings of International Conference on Manipulation, Automation and Robotics at Small Scales, Paris, France, 2016.
  3. A. G. Banerjee, M. Khan, J. Higgins, and A. K. Das. Discovering and Validating Breast Cancer Treatment Correlations using an Associative Memory Model and Statistical Methods. In Proceedings of IEEE International Conference on Healthcare Informatics, Dallas, TX, 2015.
  4. A. G. Banerjee, W. Yund, D. Yang, P. Koudal, J. Carbone, and J. Salvo. A Hybrid Statistical Method for Accurate Prediction of Supplier Delivery Times of Aircraft Engine Parts. In Proceedings of ASME Computers and Information in Engineering Conference, Boston, MA, 2015.
  5. A. G. Banerjee, S. Chowdhury, and S. K. Gupta. Optical Tweezers: Autonomous Robots for the Manipulation of Biological Cells. IEEE Robotics & Automation Magazine, 21(3): 81-88, 2014.
  6. J. C. Ryan, A. G. Banerjee, M. L. Cummings, and N. Roy. Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations. IEEE Transactions on Cybernetics, 44(6): 761-773, 2014.
  7. A. G. Banerjee, S. Chowdhury, W. Losert, and S. K. Gupta. Real-Time Path Planning for Coordinated Transport of Multiple Particles using Optical Tweezers. IEEE Transactions on Automation Science and Engineering, 9(4): 669-678, 2012.
  8. A. G. Banerjee, S. Chowdhury, W. Losert, and S. K. Gupta. Survey on Indirect Optical Manipulation of Cells, Nucleic Acids, and Motor Proteins. Journal of Biomedical Optics, 16(5): 051302, 2011.
  9. S. Tellex, T. Kollar, S. Dickerson, M. R. Walter, A. G. Banerjee, S. Teller, and N. Roy. Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation. In Proceedings of AAAI Conference on Artificial Intelligence, San Francisco, CA, 2011.
  10. A. G. Banerjee, A. Pomerance, W. Losert, and S. K. Gupta. Developing a Stochastic Dynamic Programming Framework for Optical Tweezer based Automated Particle Transport Operations. IEEE Transactions on Automation Science and Engineering, 7(2): 218-227, 2010.
  11. A. G. Banerjee and S. K. Gupta. Geometric Algorithms for Automated Design of Side Actions in Injection Molding of Complex Parts. Computer-Aided Design, 39(10): 882-897, 2007.
  12. A. G. Banerjee, X. Li, G. Fowler, and S.K. Gupta. Incorporating Manufacturability Considerations during Design of Injection Molded Multi-Material Objects. Research in Engineering Design, 17(4): 207-231, 2007.

Honors & awards

  • Above & Beyond Silver Award, General Electric Global Research, 2013
  • Most Cited Paper Award, Computer-Aided Design Journal, 2012
  • Best Session Presentation Award, American Control Conference, 2011
  • Best Dissertation Award, Department of Mechanical Engineering, University of Maryland, 2009
  • George Harhalakis Outstanding Graduate Student Award, Institute for Systems Research, University of Maryland, 2009