AWS
Applied Scientist Intern (Summer '24, '25)
External Security Services (ESS)
Security Analytics and AI Research (SAAR)
Boston, Massachusetts
Amazon
Campus Brand Ambassador at Purdue University (March '25 - Present)
Purdue University
Ph.D. Student (Fall '22 - Spring '27)
Graduate Teaching Assistant (Spring '25, Fall '25)
Graduate Research Assistant (Fall '22 - Fall '24)
Department of Computer Science
I am a Ph.D student in the Department of Computer Science at Purdue University. I started my Ph.D. in Fall '22 under the supervision of Professor Elisa Bertino. My expected graduation date is July 2027.
My research addresses some of the most critical security challenges in modern cellular systems (4G/5G), focusing on detecting fake base stations and defending against complex multi-step attacks within both traditional cellular networks and more recent ORAN environments.
I combine network security, machine learning, and large-scale data analysis to design detection frameworks that can seamlessly integrate into existing infrastructures without disrupting operations. My work aims to create scalable, trustworthy security solutions that protect billions of connected devices worldwide.
Alongside research, I actively contribute to my community as a campus brand ambassador for Amazon and a teaching assistant and graduate student mentor within Purdue’s CS. My long-term goal is to bridge academia and industry to build future-proof, secure wireless networks that connect the global community.
My research interests lie at the intersection of network security and machine learning applications. The primary focus of my research is on developing innovative solutions to enhance the security landscape of cellular networks. I am particularly intrigued by the challenges posed by adaptive adversaries against cellular networks and aim to leverage machine learning techniques to build defenses against them. I also explore federated learning for network security and the use of foundation models and retrieval-augmented generation (RAG) for protocol analysis, vulnerability detection, and automated threat intelligence. I am also interested in securing large-scale distributed and cloud infrastructures, with emphasis on LLM-powered security analytics and threat intelligence. In the future, I want to explore Android Security and the prospect of developing on-device security solutions.
[August 2025] Presented FBSDetector at the 34th USENIX Security Symposium in Seattle!
[July 2025] Received Purdue College of Science Graduate Student Travel Grant and USENIX Student Grant to attend USENIX Security'25!
[May 2025] Returned to Amazon as an Applied Scientist Intern!
[March 2025] Started working as an Amazon Campus Brand Ambassador at Purdue University!
[Jan 2025] FBSDetector accepted to USENIX!
[May 2024] Started Summer Internship at Amazon!
[November 2023] Attended IJCNLP-AACL 2023 in Bali, Indonesia.
[September 2023] SPEC5G has been accepted to IJCNLP-AACL 2023!
[July 2023] Purdue CS featured our work! [link]
[July 2023] Platforms for Advanced Wireless Research published news about our work! [link]
[June 2023] Attended Young Gladiators‑2023, Northeastern University, Boston
[May 2023] Attended the Midscale Experimental Research Infrastructure Forum (MERIF) 2023 workshop at Boston University, Center for Computing & Data Sciences.
[September 2022] Attended AI-EDGE Annual Meeting
[August 2022] Started my Ph.D. at Purdue University!