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Assistant Professor, Mechanical and Industrial Engineering Office: 334 SN |
Bio:
Muhammad Noor E Alam is an Assistant Professor in the Department of Mechanical & Industrial Engineering and Director of the Decision Analytics Lab at Northeastern University.
Dr. Alam also holds a faculty associate position at the Centre for Health Policy and Healthcare Research and an aļ¬liated faculty position at both the Global Resilience Institute,
and the School of Public Policy and Urban Affairs. Prior joining to Northeastern, Dr. Alam was a Postdoctoral Research Fellow in Sloan School of Management at the Massachusetts Institute of Technology. He has completed his PhD in
Engineering Management in the Department of Mechanical Engineering at the University of Alberta (UofA), and received a B.Sc. and M.Sc. in Industrial and Production
Engineering from Bangladesh University of
Engineering & Technology (BUET). Before coming to UoA, Dr. Alam served as a faculty member in the Department of Industrial and Production Engineering at
BUET. Dr. Alam is a recipient of a National Science Foundation Faculty Early Career Development (CAREER) Award (2021). He served as a board of directors for the Logistics and Supply Chain division of the Institute of Industrial and Systems Engineers (IISE) from the year 2018 to 2020.
Research:
Prof. Alam's research aims to develop computationally tractable techniques to solve complex decision problems. His work uses interdisciplinary methods, which include Operations Research, Large Scale Optimization, Data Analytics, Causal Inference and Machine Learning/Artificial Intelligence (AI). The goal is to leverage the strengths of these disciplines to ensure interpretable, fair, robust and reliable decisions. These techniques are applied to solve high stake societal problems in healthcare, energy and humanitarian logistics.
Key areas of focus:
Efficient discrete optimization based robust matching algorithms for Causal Inference
Scalable optimization techniques for solving large-scale decision problems
Pragmatic decision-making framework to handle inherent uncertainty and complexity in the multi-criteria decision-making process
Bigdata analytics framework to solve public health problems
Optimization framework for variable renewable energy generators