About Me
I am a Research Engineer at Comcast, working on applied cybersecurity research. My work combines software and systems security, experimental testing, and prototype development to evaluate the security of networked systems and emerging technologies.
I earned my Ph.D. in Cybersecurity from Northeastern University, where I was advised by Professor Aanjhan Ranganathan. Previously, I conducted research at New York University Abu Dhabi with Professor Christina Pöpper.
My research examines the security of cellular networks and connected systems, including 4G and 5G protocols, over-the-air testing of commercial devices, legacy cellular services, NR sidelink and V2X communications, connected vehicles, eSIM infrastructure, emergency communications, and privacy side channels. More broadly, my interests include network and systems security, security evaluation of emerging technologies, AI security, and AI-assisted security engineering.
My research has appeared at USENIX Security, NDSS, ACSAC, ACM WiSec, and USENIX WOOT. My findings have been reported through GSMA coordinated vulnerability disclosure, and my research on 5G emergency alerts was cited in FCC Notice of Proposed Rulemaking 22-82. I am also a co-inventor on a published U.S. patent application for SMS-based location inference.
I received the Google PhD Fellowship in Security and Networking and hold the CISSP, SecurityX (formerly CASP+), and CySA+ certifications.
Outside of work, I enjoy traveling, basketball, and movies. I am an avid reader of history, philosophy, and fiction. I also enjoy writing, composing music (violin and piano), and learning new languages.
For my full research record, publications, and professional activities, see my CV. My doctoral dissertation is also available.
Selected Research
- 5G Device Security Testing: An open-source framework for testing 5G standalone devices through adversarial NAS and RRC procedures.
- SMS Timing and Location Privacy: Tools for automated SMS-timing collection and location-inference experiments.
- Connected-Vehicle Security: A reproducibility artifact for LTE security research on Tesla Model 3 and Cybertruck vehicles.
Research Interests
- Network Security
- Systems and Software Security
- Machine Learning for Cybersecurity
- AI Security
Education
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Ph.D. in Cybersecurity, 2022–2026
Northeastern University
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M.S. in Cybersecurity, 2024
Northeastern University
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PG.Cert. in Advanced Cybersecurity, 2022
King's College London
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B.Sc. in Computer Science, 2013–2018
Athens University of Economics and Business