Ph.D. Student in Computer Architecture · University of Tehran
Hardware Security · Side-Channel Attacks · Spiking Neural Networks · FPGA
Hello! I'm Sina Ojaghi (سینا اوجاقی), a Ph.D. student in Computer Architecture at the University of Tehran, and a Research Assistant at the Institute for Research in Fundamental Sciences (IPM). My research bridges Hardware Security, Side-Channel Attacks on FPGAs, and Spiking Neural Networks for sustainable technologies.
With a track record as an instructor at Hamedan University of Technology and the University of Tehran, I've taught courses in AI, Computer Networks, and Research Methods. I also serve as Secretary and Speaker of the Cyber-Physical Systems Society of Iran (CPSSI).
My industry experience includes roles as Hardware Programmer at Afra Turbine Energy Co. and former IT Manager at HamVta Arya Co., where I applied my technical expertise to real-world embedded systems and infrastructure challenges.
This paper evaluates how placement of active wire fences affects the success of remote power side-channel attacks in multi-tenant FPGA environments, proposing countermeasure strategies for secure hardware sharing.
A comprehensive vehicle detection benchmark with 29,759 labeled images across 7 classes. YOLOv7 achieves 85% precision and 85% [email protected], emphasizing emergency vehicle movement facilitation for transportation research.
A 3,000-image dataset of Iranian vehicles with 5,765 bounding boxes. YOLOv8s achieves 91.7% precision and 92.6% [email protected] — a 10% improvement over COCO-trained models.
Research on offline voice detection and classification systems for smart home environments, enabling privacy-preserving voice interaction without cloud dependency.
Application of artificial neural networks for modeling the stress-strain behavior of Al-Mg alloys, demonstrating the effectiveness of ML approaches in materials science.
Using genetic algorithm optimization to model the flow curve of Az52 alloy at high temperatures, providing insights into material behavior under extreme conditions.
I am seeking opportunities to further enhance my research capabilities, aiming to offer groundbreaking insights into hardware security and the applications of spiking neural networks in sustainable technologies.
Whether you're interested in research collaboration, postdoctoral opportunities, or discussing hardware security and computer architecture — I'd love to hear from you.