The advancement in wireless body sensor network and micro fabrication techniques have created a great opportunity for using miniaturized wireless microelectronic devices in a variety of health and life science applications. With big data and machine learning exponential growth in healthcare and clinical treatments, accurate analysis of clinical data helps in early disease detection, patient care, and community services. Keeping this mind, our research interests lie in 1) designing and implementing novel sensors and remote health monitoring systems, (2) IoT based wearable biosensor for personalized mobile health, (3) reliable and secure data communication, and (4) early disease detection using machine learning.
Ph.D., Electrical and Communication Engineering (ECE), University of Massachusetts - Dartmouth
M.S., Electrical and Communications Engineering (ECE), University of Massachusetts - Dartmouth
B.S., Electrical and Electronics Engineering (EEE), American International University Bangladesh (AIUB)
Medical Biotechnology Diagnostics (incl. Biosensors)
Mobile Health (mHealth)
ECE 543: Intro to Digital Systems
ECE 583: Designing w/Programmable Logic
ECE 999: Doctoral Research
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Mahmud, M. S., Wang, H., Esfar-E-Alam, A. M., & Fang, H. (2017). A wireless health monitoring system using mobile phone accessories. IEEE Internet of Things Journal, 4, 2009-2018.
Wang, H., Mahmud, M. S., Fang, H., & Wang, C. (2016). Conclusion and Future Directions. In Wireless Health (pp. 53). Springer, Cham.
Kim, Y. K., Wang, H., & Mahmud, M. S. (2016). Wearable body sensor network for health care applications. In Smart Textiles and their Applications (pp. 161-184). Woodhead Publishing.
Wang, H., Mahmud, M. S., Fang, H., & Wang, C. (2016). Architecture. In Wireless Health (pp. 27-37). Springer, Cham.
Wang, H., Mahmud, M. S., Fang, H., & Wang, C. (2016). Wireless health systems. In Wireless Health (pp. 9-26). Springer, Cham.
Wang, H., Mahmud, M. S., Fang, H., & Wang, C. (2016). Wireless Health. Springer Berlin, Germany:.