Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification

Publication
The 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 19), Chicago, IL, USA
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Mahdi Pedram
Research Assistant

I am a fourth year PhD student at Washington State University. I work as a research assistant with Professor Hassan Ghasemzadeh. My research topics include embedded systems, health monitoring systems, wearable sensor development, sensor data mining, power optimization, and machine learning. I received my B.S. degree in Computer Cngineering from Amirkabir University of Technology, Tehran, Iran in 2014.