On July 1, 2019, Debankur Mukherjee joined the faculty of Georgia Tech’s H. Milton Stewart School of Industrial and Systems Engineering (ISyE) as an assistant professor.
Mukherjee’s 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.
He received a B.Sc. from the University of Calcutta in 2012, an M. Stat. from the Indian Statistical Institute in May 2014, and a Ph.D. from the Netherlands' Eindhoven University of Technology in 2018.
Prior to his arrival at Georgia Tech, Mukherjee was a Prager Assistant Professor at Brown University’s Division of Applied Mathematics.