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 model evaluation, including settings with limited labeled data and noisy signals. I apply these approaches to digital health, computer vision, acoustics, and sensing.

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

Evaluation of parameter-efficient vision-language models for digital 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-aware foundation-model adaptation

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

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

Integrated wearable electronics connect ECG and electrodermal sensing to a Bluetooth Low Energy controller.

IEEE Sensors Journal · 2022

Integrated wearable sensor for mental stress detection

A. Mohammadi, M. Fakharzadeh, B. Baraeinejad

Paper: An Integrated Human Stress Detection Sensor Using Supervised Algorithms