Rakibul Hassan

About Me

Rakibul Hassan, Ph.D.

I am a Post-Doctoral Associate at the University of Florida, specializing in the security of System-on-Chip (SoC) and System-in-Package (SiP) designs. I earned my Ph.D. in Electrical and Computer Engineering from George Mason University, where my research focused on hardware security, including Trojan detection and logic obfuscation. My work involves developing Graph-Learning based solutions for identifying Hardware Trojans and implementing machine-learning techniques for secure hardware design.

Previously, I have held positions as a Graduate Research Assistant and a Visiting Research Assistant Intern at George Mason University and the University of Southern California, respectively. I have also served as a Graduate Teaching Assistant at George Mason University and Part-time Lecturer at Ahsanullah University of Science and Technology.

Research Fields of Interest

  • Hardware Security and Vulnerability Analysis
  • Ontology-driven Storytelling and Automated Analysis Frameworks
  • Machine Learning Applications in Cybersecurity
  • Internet of Things (IoT) Security

News

Date News
11/22/2024 Our paper, Physical Model-Assisted Secure Software Execution Against Fault-Injection Attacks, has been accepted for an oral presentation at GOMACTech-25 conference. Congrats, Henian Li!
11/22/2024 Our paper, ML-PREMISE: A Machine Learning-Driven Pre-Silicon Electromagnetic Fault Injection Security Evaluation for Robust IC Design, has been accepted for a poster presentation at GOMACTech-25 conference. Congrats, Pantha Protim Sarker!