Mohammed Y Niamat

Mohammed Y Niamat is a full-time Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo's College of Engineering. His research focuses on hardware security, FPGA vulnerabilities, and blockchain applications in cybersecurity.

• Research Interests: Physical Unclonable Functions (PUFs), FPGA Security, Blockchain-based Security Frameworks, IoT Security, Smart Grid Authentication, Machine Learning Vulnerability Analysis
• Publications: Over 85 publications from 1986-2024, with recent works on integrations of blockchain and PUFs for secure supply chains, neural network modeling attacks on PUFs, and hardware Trojan detection techniques.
• Collaborations: Co-authored with Junghwan Kim (4), Weiqing Sun (2), Richard Molyet (1).

Recent Article Trends: 2024 works on zero-trust architecture for FPGA supply chains using blockchain and ROPUFs; 2023 studies on IoT device authentication, hardware Trojan detection, and NFT-based IP protection; 2021-2019 research on machine learning attacks against PUFs, lightweight cryptographic designs for IoT, and BER optimization in wireless systems.