Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
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Dr. Debankur Mukherjee is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.
Prior to his arrival at Georgia Tech he was a Prager Assistant Professor in the Division of Applied Mathematics at Brown University working with Prof. Kavita Ramanan.
His research spans the areas of applied probability and stochastic networks, with applications in queueing theory, performance analysis, random graphs, randomized algorithms, and probabilistic combinatorial optimization. His primary focus is to address fundamental theoretical challenges that arise in large-scale systems, such as data centers and cloud networks, and provide key insights in understanding various trade offs in designing efficient systems. Mukherjee received the Best Student Paper Award at ACM SIGMETRICS 2018 for introducing a stochastic comparison framework to study the impact of underlying network topologies on the performance of load balancing schemes in large-scale systems.
Dr. Mukherjee graduated with cum laude distinction from Eindhoven University of Technology in 2018 under the supervision of Prof. Sem Borst and Prof. Johan van Leeuwaarden.