Amirmohammad Mohammadi

Computer Engineering PhD student at Texas A&M University.

Research Interests

Parameter Efficient Transfer Learning, Digital Health, Applied AI Research, Machine Learning, Deep Learning, Computer Vision, Time-Series Analysis

Publications

  1. Paper 1
    Sel, K., Mohammadi, A., Peggrew, R. I., & Jafari, R. (2023). Physics-informed neural networks for modeling physiological time-series for cuffless blood pressure estimation. Nature NPJ Digital Medicine, 6(1), 110. Read Paper
  2. Paper 2
    Mohammadi, A., Fakharzadeh, M., & Baraeinejad, B. (2022). An integrated human stress detection sensor using supervised algorithms. IEEE Sensors Journal, 22 (8), 8216-8223. Read Paper
  3. Preprint 1
    Mohammadi, A., Masabarakiza, I., Barnes, E., Carreiro, D., Van Dine, A., & Peeples, J. Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks. IEEE OCEANS 2025, Read Preprint
  4. Preprint 2
    Mohammadi, A., Kelhe, T., Carreiro, D., Van Dine, A., & Peeples, J. Transfer Learning for Passive Sonar Classification using Pre-trained Audio and ImageNet Models. IEEE OCEANS 2025, Read Preprint
  5. Preprint 3
    Ritu, J., Mohammadi, A., Carreiro, D., Van Dine, A., & Peeples, J. Structural and Statistical Audio Texture Knowledge Distillation (SSATKD) for Passive Sonar Classification. Read Preprint