Md Rafi Islam is a second-year Ph.D. student in the Electrical and Computer Engineering Department. His research primarily focuses on human movement intention detection. He is particularly interested in embedded system design for orthotic and prosthetic devices, signal processing, and applying machine learning algorithms to distinguish intention. Before intention detection research, Rafi worked on integrating BLE (nrf52832) in the AIM and smart lacelock device for real-time data collection and also updated the PCB design of the smart lacelock device to integrate BLE.
Rafi holds a Bachelor's in electrical and electronic engineering from Chittagong University of Engineering and Technology, Bangladesh. He worked on cuff-less blood pressure measurement in his bachelor's thesis.
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