Welcome to my personal website!
I am a PhD student in Comparative Studies at Florida Atlantic University, specializing in the Culture, Society, and Politics track. My primary discipline is Anthropology, with a secondary focus in Sociology.
My research explores the socio-technical dimensions of Medical Anthropology, with a particular emphasis on Artificial Intelligence (AI) in healthcare and AI ethics. I investigate the complex interactions between humans and emerging technologies, focusing on AI and Human-Computer Interaction (HCI).
Employing a rigorous mixed-methods approach, my work examines how automated systems shape healthcare practices and influence the delivery of care.
I hold both bachelor's and master's degrees in Anthropology from the University of Dhaka and previously served as a research professional at the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b).
Building upon this foundation, I seek to advance the ethical design, evaluation, and implementation of digital health systems.
Medical Anthropology
AI in Healthcare
AI Ethics
Human-Computer Interaction
Mixed Methods
Florida Atlantic University
University of Dhaka
University of Dhaka
Florida Atlantic University, Boca Raton, FL — 2024–Present
icddr,b (International Centre for Diarrhoeal Disease Research), Dhaka — Mar 2024–Jul 2024
icddr,b, Dhaka, Bangladesh — Oct 2023–Jan 2024
icddr,b, Dhaka, Bangladesh — Apr 2021–Oct 2023
CITI Program (Florida Atlantic University), Online — Sep 2024–Sep 2027. Focus: Human Subjects Research Ethics, IRB compliance, and ethical principles for social and behavioral sciences. Record ID: 65320998
The Global Health Network, Online — Completed Oct 2024. Focus: International clinical trial standards, investigator site responsibilities, and clinical research quality assurance. Score: 89%. TransCelerate BioPharma recognized. Cert ID: 63c942cf-07d8-45c6-b36e-dd9c64fc2587
LinkedIn Learning, Online — Completed Oct 2025. Focus: Interpersonal and professional communication strategies, conflict resolution, and stakeholder engagement. Cert ID: 0e419c2e9aca6db36bc5332705e2b2e191fa14f3a71bfb08646ele10df31387e
Asha, J. S., Munira, S., Mia, M. R., Azad, S., Rokaiya, S., Ami, A. S., Islam, M. M., Jahan, T., et al. (2026). Efficacy of Digital Mental Health Interventions in Reducing Depression and Anxiety Among Young Adults: A Systematic Review. International Journal of Drug Delivery Technology, 16(76s), 872–887.
Gazi, M. D. H., Yeasmin, T., Alfi, I. A., Mamun, M. A. A., Mia, M. R., et al. (2026). Applications of AI-Assisted Liquid Biopsy for Early Cancer Detection and Treatment Monitoring: A Systematic Review of Current Evidence. International Journal of Drug Delivery Technology, 16(60), 1815–1827.
Hasan, M., Sirazy, M. R. M., Hasan, M. K., Mia, M. R., Hossain, M. I., Nurujjaman, F., Rahman, S. S., & Islam, M. (2026). An Investigation into Patient Attitudes Toward Data Privacy and Cybersecurity in Digital Medical Systems. International Journal of Communication Networks and Information Security, 18(5), 143–158.
Pritom, M. H., Azad, S., John, D. B., do Carmo, E. B., Kamal, M. A. T., Munifa, N. K., Howlader, N. A., Mia, M. R., Begum, R., & Arefin, N. M. (2026). Efficacy, Safety, and Patient Adherence to AI-Enabled Wearable and Implantable Cardiac Monitoring Devices in Arrhythmia Detection: A Systematic Review. International Journal of Drug Delivery Technology, 16(54s), 1303–1313.
Kamal, M. A. T., Shikha, S. A., Munifa, N. K., do Carmo, E. B., Rahman, K. A., John, D. B., Azad, A., Mia, M. R., et al. (2025). AI-Driven Mendelian Randomization for Biomarker Discovery in Rheumatoid Arthritis: A Systematic Review of Precision Medicine Approaches. Journal of Carcinogenesis, 24(10s), 758–771.
John, D. B., Islam, M., Murad, M. S., Gazi, M. D. H., Hasan, M. R., Mia, M. R., et al. (2024). AI-Driven Assessment of The Efficacy And Safety of Gene and Cell-Based Therapies for Ischemic Heart Disease: A Systematic Review of Clinical Trials. Journal of Carcinogenesis, 23(1), 1065–1078.
Mozumder, A. Q., Al Mamun, M. A., Eshra, S. A., Gazi, M. D. H., Bakht, S., Howlader, N. A., Mia, M. R., Nila, F. A., Zubair, S. M., & Pradhan, A. (2023). AI-Driven Liquid Biopsy For Ultra-Early Cancer Detection And Precision Oncology. Vascular and Endovascular Review, 6(2), 126–140.
Reviewer, International Journal of Drug Delivery Technology (ISSN: 0975-4415) — Evaluated peer research on machine learning integration in clinical and medical education frameworks.
Reviewer, Frontiers in Health Informatics (ISSN: 2676-7104) — Reviewed technical contributions on big data and machine learning in personal health systems.
Reviewer, Journal of Carcinogenesis (ISSN: 1477-3163) — Executed referee evaluations on emerging diagnostic healthcare AI paradigms.
University of Dhaka; Advisor: Dr. Kazi Shahedul Halim
University of Dhaka; Advisor: Dr. Kazi Shahedul Halim
Former Vice President, Comparative Studies Student Association (CSSA), Florida Atlantic University
Former Students and Public Affairs Secretary, Visual Anthropology Club (VAC), University of Dhaka
Email: mdrubelmia3054@gmail.com