I completed my Ph.D. at Florida International University, where I was part of the Cyber-Physical Systems Security Lab under the supervision of Professor Selcuk Uluagac.
I am currently a Research Scientist at Meta. My research interest lies in the application of advanced machine learning techniques to explore the security and privacy implications of emerging technologies and their associated threats.
Ph.D. in Computer Engineering, 2024
Florida International University
B.Sc. in Computer Engineering, 2019
Antalya Bilim University
I received Outstanding Ph.D. Graduate Award from Florida International University College of Engineering & Computing.
My research work has received top honors at the FIU KFSCIS Research Symposium in Cybersecurity & AI.
Our paper "(In)Security of File Uploads in Node.js" has been accepted to the International World Wide Web (WWW) Conference, 2024.
I received a Dissertation Year Fellowship (DYF) from the FIU ECE Department.
Our paper “50 Shades of Support: A Device-Centric Analysis of Android Security Updates” has been accepted to the 30th Network and Distributed System Security (NDSS) Symposium.
Our paper “RøB: Ransomware over Modern Web Browsers” has been accepted to the 32nd USENIX Security Symposium.
I am honored to have received the first Publication Incentive Award from the Florida International University Electrical and Computer Engineering Department for my work.
Our poster “Feasibility of Malware Visualization Techniques against Adversarial Machine Learning Attacks” has been accepted for publication at the 43rd IEEE Symposium on Security and Privacy (S&P).
Our paper “A First Look at Code Obfuscation for WebAssembly” has been accepted to the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks.
Our paper “A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions” has been accepted for publication in ACM Computing Surveys.