معرفی
Furat Al-Obaidy is a Lecturer in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. His expertise spans machine learning, intelligent systems, VLSI circuits, multi-core systems, FPGA architecture, and deep learning applications.
- PhD in Electrical & Computer Engineering from Ryerson University (2021)
- MSc in Electrical & Computer Engineering from Ryerson University (2016)
- MSc in Control & Instrumentation Engineering from University of Technology, Baghdad (1999)
- BSc in Control & Systems Engineering from University of Technology, Baghdad (1996)
His research focuses on power-aware computing systems, thermal imaging for IC testing, hybrid cache architectures, and AI-driven network optimization. He has published extensively on topics including GPGPU power management, 3D NoC routing, and wireless sensor networks.
His recent publications highlight applications of neural networks in cache optimization, FPGA architecture, and thermal imaging for hardware diagnostics. Earlier work includes control system simulations for wind turbines and power factor analysis in electrical circuits.
- Ryerson Graduate Development Award (2021)
- Ontario Graduate Scholarship Award (OGS) (2020)
- Ryerson Graduate Fellowship (2018)
- Graduate Research Excellence Award (2017)
- Queen Elizabeth II Graduate Scholarship in Science and Technology (2017)
