About Me

👋 I’m Amir, a doctoral researcher in Electrical and Computer Engineering at Texas A&M University. My research involves developing AI-driven solutions for a range of applications in health and remote monitoring. Most recently I have worked on transformer-based efficient transfer learning, physics-informed modeling, and generative AI. I like to approach challenges simply from the ground up, understanding fundamentals, leveraging SOTA, and customizing each solution to the problem at hand.

🔬 Research

• AI in Health: Physiological time-series analysis for accessible, low-label diagnostic and predictive healthcare using integrated HW/SW pipelines.

• Efficient Transfer Learning: Transformer-based PETL methods that enable cross-domain adaptation on resource-constrained edge devices.

• Open-Source & Publications: please see my CV for links to codes and papers.

🎓 Education

Doctor of Philosophy, Electrical and Computer Engineering
Texas A&M University
Sept. 2022 – Present (expected Fall 2026 / Spring 2027)

🌍 Beyond the Lab

I enjoy mystery books and movies. I follow football whenever I can. Lately I have been exploring philosophy and human in my free time.