About Me
I am a Ph.D. candidate (ABD) in Computer Engineering at Iowa State University, advised by Dr. Berk Gulmezoglu in the MAIS Lab, and I am currently a (long-term) research intern at Seagate Research Group’s Data Trust Team.

My research focuses on identifying security vulnerabilities in modern computing systems and emerging computing platforms. I utilize side-channel analysis, system-level profiling, artificial intelligence (AI) driven mitigations, cryptographic methods, and trusted execution environment (TEE) integrated designs to strengthen privacy and trust guarantees in real-world applications. These approaches span microarchitectures (Intel, AMD, and ARM) and immersive platforms (AR/VR headsets), translating vulnerability discovery into deployable defenses. In doing so, my work enhances our understanding of security issues in hardware systems and enables scalable, AI-based defenses.
Research focus
• Hardware security, microarchitectural side channel attacks and AI-driven mitigations
• Cryptographic systems, including fully homomorphic encryption (FHE)
• Machine learning security
My work has been recognized by AMD through a security bulletin (AMD-SB-7024) and by Meta through a bounty award, and it has appeared at top security conferences, including ACSAC, ASPLOS, and NDSS.
News
[Oct. 2025] I gave a talk on “Privacy Preserving Machine Learning at the Intersection of Fully Homomorphic Encryption and Trusted Execution Environment” at the 4th bi-annual Seagate AI-Summit (global event).
[Oct. 2025] Our work has been recognized by the department News. Thank you to the ECpE department for recognizing our work!
[Sep. 2025] I passed my Ph.D. preliminary exam! I am officially ABD (all but defense). Deep thanks to my committee, advisor, and collaborators.
[Aug. 2025] Our collaborative research paper with Purdue University on GPU-based side-channel attacks in XR has been accepted at NDSS 2026.
[Mar. 2025] I received a Meta Bounty Award by reporting side-channel vulnerabilities.
[Feb. 2025] I received a student travel grant from ASPLOS 25.
[Feb. 2025] I received an internship offer from Seagate Research Group, Data Trust team (Cryptography and Security Research).
[Feb. 2025] Our paper “SMaCk: Efficient Instruction Cache Attacks via Self-Modifying Code Conflicts” got accepted at ASPLOS ’25. AMD acknowledged our attack and has published a security bulletin for our attack.
[Nov. 2024] Our poster, “DefWeb: Defending User Privacy against Cache-based Website Fingerprinting Attacks with Intelligent Noise Injection,” got the best poster award at the Midwest Security Workshop 2024, organized at Purdue University. (PDF)
[Oct. 2024] I received the Sidebottom Scholarship for the academic year 2024-2025.
[Sep. 2024] I presented a research poster at the CAE-R Symposium in St Louis.
[Aug. 2024] I gave an invited talk on “Microarchitectural Security and Machine Learning Security for Reliable Autonomous Driving Systems” at Kyungpook National University in South Korea.
[May. 2024] I joined the Dr.Berkay Celik’s PurSec Lab as a research intern during the summer.
[Mar. 2024] Our poster on the security of Machine Learning models, in collaboration with NSA, has been accepted to the CAE symposium. I presented the poster in Kentucky
[Dec. 2023] Our paper, “DefWeb: Defending User Privacy against Cache-based Website Fingerprinting Attacks with Intelligent Noise Injection,” is accepted at ACSAC 2023