Shubham Pateria

I am a Research Scientist at Singapore Management University (SMU), Singapore in the Neural and Cognitive Computing Group, since April, 2022. My work is primarily focused on multi-agent reinforcement learning and federated learning.

At SMU, I am a key contributor to the Scalable and Interpretable iCGF project funded by DSO National Laboaratories and Trustworthy Federated Ubiquitous Learning (TrustFUL) project funded by AISG. Prior to this, I was a part of Entrepreneur First, Singapore startup incubator from which I briefly worked on my own mental health technology startup before shutting it down in early 2022.

Previously, I was a Software Engineer at Samsung Research India - Bangalore from 2014 to 2017, where I worked on display driver software and innovative research for smartphone and smarthome system optimization.

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Education

I received my Doctor of Philosophy (Ph.D.) degree in Computer Science from Nanyang Technological University (NTU), Singapore in 2021. I was supervised by by Prof. Ah-Hwee Tan and Assoc. Prof. Chai Quek. My area of specialization was reinfocement learning and thesis was on methods for autonomously decomposing and performing long-horizon sequential decision tasks [Thesis][ Slides].

Prior to that, I received Bachelor of Technology (B.Tech.) degree in Electronics and Communications Engineering form National Institute of Technology (NIT), Durgapur, India in 2013.

Interests

  • Artificial Intelligence and Machine Learning.
  • Reinforcement Learning, Planning, and Control.
  • Federated Learning, Data Privacy.
  • Data Science.

Modified from Jon Barron