Assistant Professor · Electrical & Computer Engineering · The University of Akron
Finding what hardware leaks — and building AI that stops it.
I study side-channel and microarchitectural attacks on modern processors, containers, and cloud platforms, and build learning-based and LLM-driven tools that detect, evade, and automate them.
I am a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at The University of Akron, which I joined in August 2026. I received my Ph.D. in Computer Engineering from Iowa State University in August 2026, where I conducted research in the MAIS Lab under the supervision of Dr. Berk Gulmezoglu. My dissertation is titled From Manual Exploration to Automated Analysis of Microarchitectural Threats.
My research explores how artificial intelligence can both expose and defend against side-channel attacks, working at the intersection of computer architecture and cybersecurity to make computing systems more secure without sacrificing performance. I investigate microarchitectural and software-level attack vectors, focusing on side-channel and speculative execution vulnerabilities, while also developing deep learning-based defenses against such attacks. My current research also explores trustworthy AI through behavioral attestation of large language models, adversarial robustness of learning-based security mechanisms, and LLM-assisted multi-agent techniques for reproducible security validation across architectures.
01 News
2026 NSF SaTC Aspiring PIs Workshop
Participated in the NSF-sponsored Secure and Trustworthy Cyberspace (SaTC) Aspiring PIs Workshop, which prepares researchers new to the SaTC program for NSF’s proposal and review process.
Workshop website-
Joined The University of Akron as a tenure-track Assistant Professor in Electrical and Computer Engineering
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Completed Ph.D. in Computer Engineering, Iowa State University — dissertation: From Manual Exploration to Automated Analysis of Microarchitectural Threats
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Preprint released on arXiv — uGen: An Agentic Framework for Generating Microarchitectural Attack PoCs
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Recipient of the Takano Fellowship Graduate Research Fellowship (~$60K), Iowa State University
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Research Administration Intern at CoMFRE and Iowa Water Center, Iowa State University
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Invited talk at the University of Lübeck, Germany — “Exploiting Dynamic Frequency: Side-Channel Attacks and Evasion in Modern Systems”
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Paper published in IEEE JETCAS — “Systematical Evasion From Learning-Based Microarchitectural Attack Detection Tools”
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Research Intern at Telefónica Innovación Digital, Barcelona, Spain — worked on microarchitectural side-channel attacks in serverless cloud environments
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Invited talk at CAE-R Symposium, St. Louis — “Dynamic Frequency-Based Side-Channel Attacks on Modern Computing Environments”
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Completed M.Eng. in Computer Engineering, Iowa State University
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Presented at IEEE EuroS&P 2024 in Vienna, Austria
02 Research
Dynamic Frequency Side Channels
CPU frequency values exposed to unprivileged users leak user activity. DF-SCA fingerprints websites in Chrome and Tor on Intel, AMD, and ARM and infers keystrokes on Android; follow-up work uses frequency sensors to fingerprint Docker containers and sandboxes.
2 papersContainer, Sandbox & TEE Isolation
Leakage that crosses isolation boundaries in the cloud: fingerprinting workloads inside gVisor, AWS Firecracker, Gramine-SGX, and AMD SEV, co-location in serverless platforms, and information leakage at the container-kernel interface.
2 papersLearning-Based Detection, Evasion & Defense
Detecting microarchitectural attacks from system-wide energy traces, evading learning-based detectors by fuzzing their performance-counter inputs, and defenses such as DefWeb and intrinsic-dimension–based protection against adversarial attacks.
4 papersLLM-Driven Attack Automation
uGen, an agentic, retrieval-augmented framework that turns LLMs into reliable generators of microarchitectural attack proof-of-concepts, such as Spectre-v1 and Prime+Probe, moving attack research from manual exploration toward automated analysis.
1 paper03 Selected Publications
Systematical Evasion From Learning-Based Microarchitectural Attack Detection Tools
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IEEE JETCAS), 2024
Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments
2024 IEEE 9th European Symposium on Security and Privacy (EuroS&P), 2024
MAD-EN: Microarchitectural Attack Detection Through System-Wide Energy Consumption
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
DF-SCA: Dynamic Frequency Side Channel Attacks are Practical
Proceedings of the 38th Annual Computer Security Applications Conference (ACSAC '22), 2022
