Supriyo GHOSH

À propos

I am a Senior Researcher at Microsoft M365 Research. My primary research interest lies in data-driven decision making in resource constrained environments using tools and techniques from artificial intelligence, machine learning, behavioral analytics and operation research machineries. Specifically, majority of my research focuses on the following topics: AI for IT and cloud operations (AIOPs), Algorithmic Foundations of Mathematical Optimization; Reinforcement Learning and Decision-making under Uncertainty; Data-centric Learning, Planning and Optimization. I was fortunate to work on a diverse set of large-scale application domains (e.g., cloud systems, healthcare, urban networks and transportation, AI for social good, Finance) by collaborating with Government and Industry partners. My research works have appeared in leading AI conferences (AAAI, IJCAI, UAI, KDD, ICSE, FSE, ICAPS and SoCC) and Journals (Journal of Artificial Intelligence and Research, Computers and Operations Research). I also serve regularly as the PC member of AAAI, IJCAI, NeurIPS, ICML, ICLR, AAMAS and ICAPS.

Prior to joining Microsoft, 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.