About Me

👋 I’m Amir, a Computer Engineering PhD candidate at Texas A&M University. I work on making deep learning models more efficient in real-world settings, from adapting foundation models with fewer parameters to using physics to reduce the need for labeled data. The projects are funded by MIT Lincoln Laboratory and the National Institutes of Health. I have published in Nature npj Digital Medicine and IEEE venues.

My research spans audio, image, and time-series modalities, with applications in acoustics and health. These are all areas where data is noisy, labels are expensive, and you cannot just train a bigger model. During my master’s, I designed a wearable sensor from the circuit board to the AI/ML algorithm. That experience taught me to think about the problem in a holistic approach.

🎓 Education

Doctor of Philosophy, Computer Engineering
Texas A&M University
September 2022 – December 2026

Master of Science, Electrical Engineering
Sharif University of Technology
Graduated February 2021