Summary
Soheil Salehi is a tenure-track Assistant Professor of Electrical and Computer Engineering at the University of Arizona with 12 years of research and teaching experience focused on hardware- and AI-enabled cybersecurity, energy-efficient IoT signal processing, and emerging spin-based and neuromorphic devices. He completed a Ph.D. in Computer Engineering at UCF and was an NSF-sponsored CIFellow and postdoc at UC Davis, where he led projects on supply-chain hardware trojan detection and deep-learning-resistant, device-aware countermeasures for power side-channel attacks. His work blends cross-layer algorithm-to-hardware design—spanning mixed-signal ADCs with STT-/SOT-MTJs, reconfigurable fabrics, and low-power, reliability-aware VLSI—with practical demonstrations on PCBs and power-management ICs. He has a strong teaching record and leadership experience founding student organizations to advance hardware design education. Notably, his research couples cutting-edge devices with AI to harden constrained IoT endpoints against novel firmware and hardware threats, bridging academic rigor with applied security experiments. Based in Tucson and a U.S. permanent resident, he combines deep device-level expertise with systems security to tackle real-world IoT trust challenges.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Engineering, Bachelor of Science (B.Sc.), Computer Engineering at University of Tehran
Bachelor of Science (B.Sc.), Computer Engineering, Bachelor of Science (B.Sc.), Computer Engineering at Isfahan University of Technology
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at University of Central Florida
English, Persian