Supriyo GHOSH
Senior Researcher
Microsoft, India
I am currently working at Microsoft as a Senior Researcher. Prior to that, I was a Research Scientist II at Institute of Infocomm Research (I2R), A*STAR. Before that I worked at IBM Research AI Lab in Singapore as a Research Scientist from Jan, 2019 to Jun, 2021. Prior to joining IBM Research, I was a Postdoctoral Associate at the SMART and LIDS center of the Massachusetts Institute of Technology (MIT) and collaborated with Prof. Patrick Jaillet. I completed my PhD in Information Systems in Dec, 2017 from Singapore Management University (SMU) under the supervision of Assoc. Prof. Pradeep Varakantham. I spend AY2015-16 at Carnegie Mellon University (CMU) as a graduate exchange student and work under the guidance of Prof. Michael Trick from Tepper School of Business.
My main research interest lies in data-driven decision analytics using tools and techniques from artificial intelligence, machine learning, and operation research machinaries. Specifically, my research focuses on the following topics:
Algorithmic Foundations of Mathematical Optimization
Reinforcement Learning and Decision-making under Uncertainty
Data to Decisions: Data-centric Learning, Planning and Optimization
Urban Transportation & Logistic Networks
Network Resilience in Cyberphysical Systems
Game Theory and Behavioral Modeling
Updates:
Apr, 2024: Paper Alert! 2 papers on cloud reliability using LLMs got accepted at FSE, 2024.
Jan, 2024: Paper Alert! Our paper on "Dependency-aware incident linking in large cloud systems" is accepted at WWW, 2024.
July, 2023: Paper Alert! Our paper on "Detection Is Better Than Cure: A Cloud Incidents Perspective " is accepted at FSE, 2023.
May, 2023: Paper Alert! Our paper on "Deep offline reinforcement learning for real-world treatment optimization applications" is accepted at KDD, 2023.
Dec, 2022: Paper Alert! Our paper on "Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models" is accepted at ICSE, 2023.
Nov, 2022: Award! Our paper on empirical study of high-severity production incidents has won the Best Paper Award at ACM SoCC'22.
Sep, 2022: Paper Alert! Our paper on "How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service" is accepted at SOCC, 2022.
May, 2022: Paper Alert! Our paper on 'Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming' is accepted at UAI 2022.
Dec, 2021: I have joined Microsoft Research, India as a Senior Researcher.
Dec, 2021: I am serving as PC member of AAAI 2022, ICLR 2022, ICML 2022, NeurIPS 2022 and publicity chair of ICAPS 2022.
Dec, 2021: Paper Alert! Our paper on 'Extracting Artefacts from Noisy Collaborative Conversations' is accepted at IAAI, AAAI 2022.
Sep, 2021: Paper Alert! Our paper on 'robust and adaptive network flows' has been accepted at Computers and Operations Research (CAOR) journal.
July, 2021: I have joined Institute of Infocomm Research, A*STAR, Singapore.
Feb, 2021: Paper Alert! Our paper on multi-agent RL for air traffic control is accepted at ICAPS 2021.
Jan, 2021: I am serving as PC member of NeurIPS 2021, ICML 2021, AAAI 2021 and ICAPS 2021.
Jan, 2020: I am serving as PC member of AAAI 2020 and IJCAI 2020, and NeurIPS 2020.
IJCAI 2019: Paper Alert! Our paper on Satisficing approach in Bike Sharing accepted at IJCAI 2019
Jan, 2019: I joined IBM Research AI Lab in Singapore as a Research Scientist.
Nov, 2017: Paper Alert! Our paper on Dispatch Guided Allocation Optimization for Effective Emergency Response accepted at AAAI, 2018
I am extremely fortunate to receive SMU Presidential Doctoral Fellowship award for AY2016-2017
