Scholar
Kazi Samin Mubasshir
Google Scholar ID: R6lJbKIAAAAJ
Purdue University
Citations & Impact
Citations
881
H-index
5
i10-index
5
Publications
7
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Presented FBSDetector at the 34th USENIX Security Symposium in Seattle; received Purdue College of Science Graduate Student Travel Grant and USENIX Student Grant to attend USENIX Security'25; SPEC5G accepted to IJCNLP-AACL 2023; attended multiple conferences and workshops such as IJCNLP-AACL 2023, Young Gladiators-2023, etc.
Research Experience
- Applied Scientist Intern at AWS (Summer '24, '25) in External Security Services (ESS) Security Analytics and AI Research (SAAR), Boston, Massachusetts. Campus Brand Ambassador for Amazon at Purdue University (March '25 - Present).
Education
- Ph.D. Student in the Department of Computer Science at Purdue University (Fall '22 - Spring '27), supervised by Professor Elisa Bertino. Graduate Teaching Assistant (Spring '25, Fall '25) and Graduate Research Assistant (Fall '22 - Fall '24).
Background
- Research interests lie at the intersection of network security and machine learning applications, particularly focusing on critical security challenges in modern cellular systems (4G/5G). Aims to detect fake base stations and defend against complex multi-step attacks within both traditional cellular networks and more recent ORAN environments. Combines network security, machine learning, and large-scale data analysis to design detection frameworks that can seamlessly integrate into existing infrastructures. Long-term goal is to bridge academia and industry to build future-proof, secure wireless networks.
Miscellany
- Personal interests and hobbies not mentioned.
