About Me
š Hi! Iām Amir, a doctoral researcher in Electrical and Computer Engineering at Texas A&M University. My passion is developing AI-driven solutions for a range of applications in biomedical and audio. I like to approach challenges simply from the ground up, customizing each solution to the problem at hand. My very recent experiences were in transformer-based efficient transfer learning and physics-informed modeling, and generative AI.
š¬ Research
- AI in Digital Health: Physiological time-series analysis to improve diagnostic and predictive healthcare via HW/SW approach to help make health more accessible and also with reduced ground truth.
- Efficient Transfer Learning: Leveraging transformer architectures for cross-domain model adaptation for downstream data. Especially useful for edge-devices with constrained resources.
š Education
Doctor of Philosophy, Electrical and Computer Engineering
Texas A&M University
Sept. 2022 ā Present
š Beyond the Lab
I like reading and watching mystery books and movies. I love spending time alone and also with family/friends. In sports, I like soccer. Recently, I have been into concepts about the world and human.