Akshay Govind Srinivasan

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

news

Jan 15, 2016	A simple inline announcement with Markdown emoji!
Nov 07, 2015	A long announcement with details
Oct 22, 2015	Page is under construction !

latest posts

Mar 26, 2025	a post with plotly.js
Dec 04, 2024	a post with image galleries
May 14, 2024	Google Gemini updates: Flash 1.5, Gemma 2 and Project Astra

selected publications

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

Bib

@inproceedings{george2025enhancing,
  title = {Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction},
  author = {George, R. and Srinivasan, A. G. and Joe, J. K. and MR, H. and Kant, H. and Vimalkanth, R. and Suresh, S.},
  booktitle = {Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing},
  year = {2025},
}

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

Bib

@inproceedings{srinivasan2025deep,
  title = {Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation},
  author = {Srinivasan, A. G. and Dwivedi, V. and Srinivasan, B.},
  booktitle = {Machine Learning and Physical Sciences Workshop at the 39th Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2025},
}