Md Kamrul Hasan

Md Kamrul Hasan is an Assistant Professor of the Practice of Computer Science at Vanderbilt University's School of Engineering, Department of Electrical Engineering and Computer Science. His research focuses on smartphone-based non-invasive medical diagnostics, particularly blood constituent measurement and point-of-care tools for global health applications. He holds a Ph.D. in Computational Sciences from Marquette University and an M.S. in Computer Sciences from the University of Trento.

Dr. Hasan has held postdoctoral positions at Marquette University and Vanderbilt University Medical Center, supported by prestigious fellowships including the Northwestern Mutual Postdoctoral Fellowship and Arthur J. Schmitt Leadership Fellowship. His work bridges computer science with healthcare, emphasizing mHealth technologies, medical imaging, and machine learning applications in clinical settings.

Key research contributions include smartphone-based hemoglobin level measurement systems, prenatal education apps for preterm birth risks, and deep learning approaches for medical image analysis. His publications span non-invasive diagnostics, wearable sensor systems, and healthcare accessibility in resource-limited environments.

Awards include the Japanese Government Monbukagakusho Scholarship and Opera Universitaria Scholarship. His interdisciplinary approach addresses critical challenges in global health through innovative mobile technology solutions.