Ayan Roy

School of Engineering and Computing

Assistant Professor

Luter Hall 346
(757) 594-7196
ayan.roy@cnu.edu

Education

Ph D in Computer Science, Missouri University of Science and Technology
MS in Computer Science, St. Xavier's College
BS in Computer Science, St. Xavier's College

Teaching

Discrete Mathematics, Cybersecurity, Programming

Research

Security and Privacy, Connected Vehicle Security, Machine Learning and Blockchain applications in Connected vehicle and Cyber Physical System, IoT

Biography

Dr. Ayan Roy is an Assistant Professor in the Department of Physics, Computer Science, and Engineering at Christopher Newport University. He earned his Bachelor's and Master's degrees in Computer Science from St. Xavier's College, Kolkata, India, before completing his PhD in Computer Science with a focus on cybersecurity in connected vehicles from Missouri University of Science and Technology, Rolla, USA.
Before joining CNU, Dr. Roy worked as a Software Engineer at a startup from May 2022 to July 2023. He then served as a Postdoctoral Researcher at Thomas Jefferson National Accelerator Facility (Jefferson Lab), where he contributed to an LDRD project supported by the US Department of Energy.
Dr. Roy's research interests lie in analyzing privacy and security threats in connected vehicle systems and social media. He has published extensively in high-quality peer-reviewed conferences and has several ongoing research projects. Additionally, Dr. Roy serves as a reviewer for numerous reputable conferences and journals and is a guest editor for the special issue "Enabling Resilient Operations of Unoccupied Aerial Vehicle (UAV) Swarms" with Frontier Publishers.

Selected Accomplishments

Conference Proceeding
DI-FLAME: Distributed Incentivized Federated Learning Assessment and Model Evaluation via Blockchain. IEEE.
Conference Proceeding
(2025). Integrity Verification Framework for User Subscribed AI Models on the Edge Platform. IEEE International Conference on Edge Computing and Communications (EDGE). Pages, 10.
Journal Article, Academic Journal
Beyond V2X: A Review of Large Language Models in In-Vehicle Autonomous Driving Systems. IEEE Transactions on Intelligent Vehicles.
Conference Proceeding
(2025). SMART: Secure Incentive-Based Mechanism for Addressing Reliability in Trustworthy VANETs. IEEE/IFIP Network Operations and Management Symposium. Pages, 9.
Other
(2025). Incentive design on social networks to combat online misinformation. Western Economic Association.
Journal Article, Academic Journal
Evaluating the feasibility of Machine Learning approaches in Anomaly-based Intrusion Detection System for In-Vehicle Networks. Transactions on Embedded Computing Systems.
Conference Proceeding
FIDS: Accelerating Network Intrusion Detection Through Strategic Feature Selection. IEEE ANTS 2025.
Conference Proceeding
TrustConnect: A Framework for In-Vehicle Network Resilience through Topology-Based Trust Rating. 2025 IEEE 101st Vehicular Technology Conference.