MIE Alum Receives EuroSim Best Master’s Thesis Award
Industrial engineering alum Sahil Belsare, MS’21, received the Best Master’s Thesis Award from the EuroSim Conference in Amsterdam, Netherlands for his thesis “A Deep Reinforcement Learning approach for an adaptive job shop scheduling.” Belsare used a deep reinforcement learning approach to solve a stochastic flexible job scheduling problem, which was innovative at that time. He was advised by MIE Associate Teaching Professor Mohammad Dehghani.
Belsare is currently working as a Simulation Engineer at Walmart and based in Boston.