AS

Akshay Govind Srinivasan

Fujitsu (United States), Adobe Systems (United States), Massachusetts Institute of Technology, Indian Institute of Technology Madras

ORCID iD 0009-0001-8740-8281
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About

I am Akshay, a Final-year Bachelors student majoring in Mechanical Engineering and Minoring in AI at the Indian Institute of Technology Madras (IITM) and an incoming PhD Student at Massachusetts Institute of Technology in the CCSE-MechE joint programme.

Research Interests: Vast majority of computational power in the world is used to understand, design and optimize complex scientific and engineering systems like cars, airplanes etc. My research goal is to use AI to accelerate and democratize this computation to (1) achieve similar accuracy with much less compute, (2) solve problems that were computationally impossible, and (3) democratize the usage of these tools by reducing the knowledge barrier required for it’s effective usage.

At IIT Madras, I was advised by Prof. Balaji Srinivasan (WSAI, IITM) on building Physics-Informed Extreme Learning Machines (PI-ELMs), a fast, intrepretable and sustainable alternative to Physics-Informed Neural Networks. Previous to this, I have worked on introducing physics constraints into deep learning models for inverse airfoil design under guidance of Prof. Nagabhushana Rao Vadlamani and Prof. Bharath Govindarajan. I was also fortunate to 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.

Employment

  • Fujitsu (United States) Research Intern
    2025 - 2026
  • Adobe Systems (United States) Research Intern
    2025 - 2025

Education

  • Massachusetts Institute of Technology MechE-CCSE Joint Doctoral Program
    2026 - 2031
  • Indian Institute of Technology Madras Bachelor of Technology
    2022 - 2026

Projects & Funding

Projects & funding information is unavailable.

Publications (4)