Debankur Mukherjee
Assistant Professor
School of Industrial and Systems Engineering, Georgia Tech
Affiliations:
Algorithms, Combinatorics and Optimization (ACO)
Algorithms, Randomness and Complexity Center (ARC)
Center for Machine Learning (ML@GT)
I am co-organizing a thematic seminar series "Computational and Mathematical Approaches to Theoretical Neuroscience" in Spring 2023, funded by the IDEaS institute.
Employment
Jul, 2019 - present Assistant Professor, ISyE, Georgia Tech
Jul, 2018 - Jun, 2019 Prager Assistant Professor, Division of Applied Mathematics, Brown University
TPC member
Proceedings chair for IFIP WG 7.3 Performance conference, 2023, Chicago, IL, USA
ACM SIGMETRICS 2023, Orlando, Florida, USA
ACM SIGMETRICS 2022, Mumbai, India
International Teletraffic Congress (ITC 34), 2022, Shenzhen, China
IFIP WG 7.3 Performance conference, 2021, Milan, Italy
ACM SIGMETRICS 2021, Beijing, China
International Teletraffic Congress (ITC 33), 2021. Avignon, France.
International Teletraffic Congress (ITC 32), 2020. Osaka, Japan
International Teletraffic Congress (ITC 31), 2019. Budapest, Hungary
Education
Aug, 2014 - Jun, 2018 Ph.D. (cum laude), Stochastics Operations Research, Eindhoven University of Technology
Jul, 2012 - May, 2014 M.Stat., Mathematical Statistics and Probability, Indian Statistical Institute
Jul, 2009 - May, 2012 B.Sc., Statistics, Ramakrishna Mission Residential College, Narendrapur, affil. to University of Calcutta
Grants
Load Balancing for Cloud Networks: Data Locality Issues and Modern Algorithms. NSF organization: CCF. 07/2021–06/2024. Award amount: $439,202.00
Research interests
Online sequential decision making and learning
Load balancing in large-scale systems, such as, data centers and cloud networks
Performance analysis of data centers and cloud networks
Stochastic processes scaling limits
Random graphs, topological properties of (complex) networks
Randomized algorithms on networks