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

Apr 10, 2026	My first patent has been officially granted!
Jan 10, 2026	Honored to receive two awards at AAAI2026 for our research on LLM bias evaluation.
Dec 16, 2025	Our paper "Towards Sustainable Scientific Machine Learning Fast and Interpretable PDE Solvers via RBF-PIELM" has been accepted at ACM CODS 2025 as oral and archival work !
Jul 18, 2025	Our paper “IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context” has been accepted at AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025) !
May 19, 2025	I have joined Adobe Media and Data Science Research Lab as an intern working on building Multi-Agent Collaborative RL framework for Video Tasks

selected publications

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

Bib

@inproceedings{ramesh2026beyond,
  title = {Beyond the Moment: Conditioning Frozen {VLA}s on Memory for Long-Horizon Manipulation Tasks},
  author = {Ramesh, Aditya and Chauhan, Jatin and Srinivasan, Akshay Govind and Bhardwaj, Shivam and Kaul, Manohar},
  booktitle = {ICML 2026 Workshop on Multimodal AI Agents},
  year = {2026},
  url = {https://openreview.net/forum?id=F9w2kLRL8a},
}

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},
}