About Me

I am a Ph.D. candidate in Computer Engineering at Iowa State University, advised by Dr. Berk Gulmezoglu in the MAIS Lab. My research focuses on security threats in modern computing systems, including Intel and AMD platforms, as well as emerging AR/VR devices.

Research focus
 • Hardware security, microarchitectural side channel attacks and AI-driven mitigations
 • Machine learning security
 • Cryptographic systems, including fully homomorphic encryption (FHE)

I leverage cutting-edge AI techniques to engineer scalable security solutions that protect user privacy and deliver trustworthy hardware systems.

News

[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 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’s 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 will present 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