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Ashis Banerjee is an Associate Professor in the Department of Mechanical Engineering at the University of Washington. He holds a Ph.D. in Mechanical Engineering from the University of Maryland, completed in 2009, and a Master’s from the same institution in 2006. He previously obtained his B.Tech. in Manufacturing Science Engineering from the Indian Institute of Technology in 2004. Banerjee's research is concentrated on automated decision-making methods in cyber-physical systems aimed at achieving optimal performance across varied scales. His work encompasses the use of applied optimization, machine learning, and stochastic modeling to facilitate improved operational efficiency in contexts such as digital manufacturing and autonomous robotics. His notable contributions include the development of systems for human-robot collaboration and predictive analytics for time-varying systems. Banerjee has also held research positions at General Electric Global Research and the Massachusetts Institute of Technology, where he focused on complex systems engineering and artificial intelligence, respectively.
General Electric Global Research • Niskayuna, NY
Conducted research in complex systems engineering.
Massachusetts Institute of Technology • Cambridge, MA
Worked on artificial intelligence and machine learning projects.
Massachusetts Institute of Technology • Cambridge, MA
Focused on advanced research in computer science and artificial intelligence.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.