Amirmohammad
Mohammadi.

PhD from Texas A&M University

Hi, I’m Amir, a computer scientist specializing in machine learning and AI. My work spans parameter-efficient fine-tuning, physics-informed modeling, and algorithm development and evaluation for AI-enhanced digital health and Earth observation applications. Feel free to explore my research.

Explore my research View CV

Amir Mohammadi wearing a Texas A&M shirt

Research highlights

The supplied method figure shows image and text encoding, multiple instance learning, visual adaptation, task residuals, and slide-level prediction.

IEEE International Conference on Bioinformatics and Biomedicine · 2026 · ACCEPTED

Evaluating parameter-efficient vision-language modeling for few-shot computational pathology

A. Mohammadi, R. Khadka, K. A. Grant, M. L. Benton, J. Peeples

A trainable histogram branch adds distributional information alongside a frozen Transformer self-attention block.

IEEE International Geoscience and Remote Sensing Symposium · 2026

Distribution-guided parameter-efficient tuning for waveform-based sensing

A. Mohammadi, D. Carreiro, A. Van Dine, J. Peeples

Paper: Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification