Minhaj Alam, Ph.D.

Dr. Minhaj Alam, Ph.D.

Assistant Professor
Electrical & Computer Engineering
Education and Training:
  • Postdoctoral Fellowship, Stanford University, Stanford, CA, 2022
  • Ph.D. University of Illinois at Chicago, Chicago, IL, 2020
  • M.Sc. Islamic University of Technology, Gazipur, Dhaka, Bangladesh, 2015
  • B.Sc. Islamic University of Technology, Gazipur, Dhaka, Bangladesh, 2013
Research Areas:
  • AI in healthcare and medicine
  • Computer aided diagnostics
  • Imaging biomarkers
  • Precision medicine and federated learning
Selected Publications:

AI in medical diagnostics:

  1. Sina Gholami, Jennifer I. Lim, Theodore Leng, Sally Shin Yee Ong, Atalie Carina Thompson, and Minhaj Nur Alam. “Federated learning for diagnosis of age-related macular degeneration.” Frontiers in Medicine 10 (2023).
  2. Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I. Lim, Robison Vernon Paul Chan, Joelle Hallak, Theodore Leng, and Daniel Rubin. “Contrastive learning-based pertaining improves representation and transferability of diabetic retinopathy classification models.” Scientific Reports 13, no. 1 (2023):6047.
  3. Rikiya Yamashita*, Tara Kapoor*, Minhaj Alam (equal contribution)*, et. al., “Toward Reduction in False-Positive Thyroid Module Biopsies with a Deep learning-based Automated Risk Stratification System using Ultrasound Cine-clip Images,” Radiology AI (2022). doi: https://doi.org/10.1148/ryai.210175
  4. Minhaj Alam, David Le, Taeyoon Son, Jennifer I. Lim, and Xincheng Yao, “AV-Net: deep learning for fully automated artery-vein classification in optical coherence tomography angiography,” Biomed. Opt. Express 11, 5249-5254 (2020).

Biomarkers and retinal instrumentation:

  1. Taeyoon Son, Minhaj Alam, Devrim Toslak, Benquan Wang, Yiming Lu, Xincheng Yao, “Functional optical coherence tomography of neurovascular coupling interactions in the retina,” Journal of Biophotonics, e201800089 (2018).
  2. Minhaj Alam, Yue Zhang, Jennifer I. Lim, R.V.P. Chan, Min Yang, Xincheng Yao, “Quantitative OCT angiography features for objective classification and staging of diabetic retinopathy,” Retina (Philadelphia, PA), (2018) DOI: 10.1097/IAE.0000000000002373.
  3. Benquan Wang, Devrim Toslak, Minhaj Alam., R.V.P. Chan, Xincheng Yao, “Contact-free trans-pars-planar illumination enables snapshot fundus camera for nonmydriatic wide field photography,” Scientific reports, 8(1) p 8768 (2018).
Personal Website: