معرفی
MD Shaad Mahmud serves as an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Hampshire (UNH), where he conducts cutting-edge research at the nexus of biosensors, wireless communications, and machine learning for healthcare and environmental applications. His work aims to revolutionize remote health monitoring and early disease detection through innovative sensor design and data analytics.
His academic journey includes a Ph.D. and M.S. in Electrical and Communication Engineering from the University of Massachusetts - Dartmouth, and a B.S. in Electrical and Electronics Engineering from the American International University Bangladesh.
Dr. Mahmud's primary research interests encompass biosensors, wearable health monitoring systems, machine learning for healthcare, IoT applications in medicine, secure wireless communication, and early disease detection. He leads a research lab that has developed notable systems such as SensoRing, an integrated wearable sensor for continuous physiological biomarker measurement, and has extended his expertise to environmental monitoring with recent work on soil frost and nutrient sensing.
Analysis of his publication record reveals a clear trajectory toward deploying machine learning models, particularly deep learning and TinyML, on edge devices for real-time processing in both medical and environmental contexts. His work spans healthcare applications like opioid intake detection and bradycardia prediction to environmental monitoring of soil conditions, demonstrating versatile domain adaptation while maintaining technical depth in sensor networks and data security.
At UNH, Dr. Mahmud teaches core and advanced courses including Designing with Programmable Logic, Embedded Microcomputer Based Design, Introduction to VLSI, Senior Projects, and specialized topics in biosensors and R&D communication.
