MD Shaad Mahmud

MD Shaad Mahmud
ASSISTANT PROFESSOR
Electrical and Computer Engineering
Office: Electrical & Computer Engineering, Kingsbury Hall, Durham, NH 03824
Websites: Full profile: FindScholars@UNH, Research Lab
Md Shaad Mahmud

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.

Education

  • 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)

Research Interests

  • Artificial Intelligence/Cybernetics
  • Big Data
  • Biochemical Engineering
  • Bioengineering
  • Human-Machine Interface
  • Medical Biotechnology Diagnostics (incl. Biosensors)
  • Mobile Health (mHealth)

Courses Taught

  • ECE 543: Intro to Digital Systems
  • ECE 583: Designing w/Programmable Logic
  • ECE 999: Doctoral Research

Selected Publications

Keesee, A. M., Pinto, V., Coughlan, M., Lennox, C., Mahmud, M. S., & Connor, H. K. (2020). Comparison of Deep Learning Techniques to Model Connections Between Solar Wind and Ground Magnetic Perturbations. FRONTIERS IN ASTRONOMY AND SPACE SCIENCES, 7. doi:10.3389/fspas.2020.550874

Mahmud, M. S., Fang, H., & Wang, H. (2019). An Integrated Wearable Sensor for Unobtrusive Continuous Measurement of Autonomic Nervous System. IEEE INTERNET OF THINGS JOURNAL, 6(1), 1104-1113. doi:10.1109/JIOT.2018.2868235

Mahmud, M. S., Fang, H., Carreiro, S., Wang, H., & Boyer, E. W. (2018). Wearables technology for drug abuse detection: A survey of recent advancement. Smart Health.

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:.

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Most Cited Publications