Research
My primary research interests are:
- Hardware and AI-enabled Security in IoT
- Generative AI for Hardware Design and Security
- Neuromorphic and Biologically-Inspired AI Hardware
- Energy-Efficient and Intelligent Signal Conversion and Processing in IoT
- Reconfigurable and Adaptive Computer Architectures
- Low-Power and Reliability-Aware VLSI circuits
- Emerging Spin-Based Devices
- Digital Twins and Mixed Reality for Workforce Training and Development
- Generative AI for Personalized Education
Selected Research Projects
Ongoing: Researching novel and effective approaches for securing the Internet of Things (IoT) Supply Chain vulnerabilities
- Investigate security vulnerabilities within the IoT supply chain and demonstrate the innovative use of supervised and unsupervised AI approaches to detect and prevent attacks on the IoT hardware supply chain.
- Investigate possible hardware trojan insertion, firmware attack, and counterfeit component attack on Printed Circuit Boards (PCBs) within the IoT supply chain.
- Developing security tools for static and dynamic firmware analysis and fuzzing.
- Developing novel and effective data-driven automated framework for hardware weakness and vulnerability prediction, detection, and mitigation recommendation utilizing Machine Learning, Natural Language Processing, and Large Language Models.
- Developing secure In-Memory Computing hardware accelerators.
- Developing Neuromorphic Computing accelerators for hardware security.
- Investigate security vulnerabilities that exist within the Autonomous Vehicles’ hardware.
- Trojan Resilience Untrusted Cell Library Analysis, Detection, and Mitigation.
Soheil Salehi 