Akshay Govind Srinivasan

Incoming PhD Student at Massachusetts Institute of Technology .

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I am Akshay Govind S, a Final-year Bachelors student majoring in Mechanical Engineering and Minoring in AI at the Indian Institute of Technology Madras (IITM). I am really interested in creating impact using AI in the following ways: Building Robust Foundational Models for Physics, applying AI to reduce computational times for Transport Problems (specifically Computational Fluid Dynamics) and answering fundamental questions in AI in terms of why and how it works ? I am being advised by Prof. Balaji Srinivasan (WSAI, IITM) on In-Context Learning for Physics Foundational Models. I have worked under the mentorship of Prof. Balaraman Ravindran and Dr. Gokul S Krishnan at Center for Responsible AI (CERAI) in building Robust Bias Evaluation Frameworks.

Research Interests: Foundational Models for Physics, Operator Learning, Physics-Informed Neural Nets, Physics informed Extreme Learning Machines, Multi-Agent RL, Continuous Flow Models and Large Language Models

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selected publications

  1. Beyond the Moment: Conditioning Frozen VLAs on Memory for Long-Horizon Manipulation Tasks
    Aditya Ramesh, Jatin Chauhan, Akshay Govind Srinivasan, and 2 more authors
    In ICML 2026 Workshop on Multimodal AI Agents, 2026
  2. Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction
    R. George, A. G. Srinivasan, J. K. Joe, and 4 more authors
    In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, 2025
  3. Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation
    A. G. Srinivasan, V. Dwivedi, and B. Srinivasan
    In Machine Learning and Physical Sciences Workshop at the 39th Conference on Neural Information Processing Systems (NeurIPS), 2025