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)
One PhD position available! If you are a Georgia Tech student with background in applied probability and interested in working at the interface of applied probability, machine learning, and networking, please reach out to me.
Employment
Jul, 2019 - present Assistant Professor, ISyE, Georgia Tech
Jul, 2018 - Jun, 2019 Prager Assistant Professor, Division of Applied Mathematics, Brown University
TPC member
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
Invited talks
Nov 2021. Stochastic Networks, Applied Probability, and Performance (SNAPP) seminar (virtual)
Oct 2021. Probability, Analysis, and Data Science Seminar, Department of Mathematics at Iowa State University
Jun 2021. YEQT XIV: "Load balancing and scheduling for distributed service systems", Eindhoven, The Netherlands
Nov, 2020. INFORMS annual meeting '20
Nov, 2019. ACO student seminar, Georgia Tech, GA
Oct, 2019. INFORMS annual meeting '19, Seattle, WA
Nov, 2018. INFORMS annual meeting '18, Phoenix, AZ
Oct, 2018. Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Sep, 2018. Applied Mathematics Colloquium, Brown University
Jan, 2018. Indian Statistical Institute (ISI), Kolkata, India
Jan, 2018. Georgia Institute of Technology, Atlanta
Dec, 2017. Keynote speaker, Valuetools '17, Venice, Italy [slides]
Jul, 2017. INFORMS APS conference, Chicago, IL
Jun, 2017. University of North Carolina, Chapel hill, NC
Dec, 2016. Tata Institute of Fundamental Research (TIFR), Mumbai, India
Nov, 2016. Leiden University, Leiden, Netherlands
Jul, 2016. Georgia Institute of Technology, Atlanta, GA
Jun, 2016. Eindhoven University of Technology, Eindhoven, Netherlands
Some talk videos on works that I have coauthored
SNAPP Seminar: Coupling approach to mean-field analysis of structurally constrained large-scale systems (Slides)
Daan Rutten, presenting the work "Load Balancing Under Fine-grained Compatibility Constraints" at ACM SIGMETRICS 2021
Daan Rutten, presenting the work "Load Balancing Under Fine-grained Compatibility Constraints" at INFORMS 2020
Presenting the work "Asymptotically Optimal Load Balancing Topologies" at INFORMS 2020
Sem Borst at the Markov Lecture 2020.
Kavita Ramanan, presenting "Asymptotics of r-to-p norms for random matrices" at the Centre International de Rencontres Mathématiques (Marseille, France).
