Avijit Roy is an Adjunct Lecturer in Computer Science at John Jay College of Criminal Justice, City University of New York (CUNY), where he teaches Object-Oriented Programming and Introduction to Computer Programming. He also serves as a Data Analyst at the CUNY Central Office, where his work focuses on data systems, applied computing, and secure analytics workflows.

His research sits at the intersection of cybersecurity, natural language processing, and privacy-preserving artificial intelligence. He is a co-author of Propasafe-Hybrid, a hybrid system that integrates transformer-based classification with large language model explainability to detect and interpret propaganda techniques at the sentence level. His broader research portfolio includes client-side phishing detection—resulting in a USPTO provisional patent application—and privacy-preserving architectures integrating blockchain and federated learning, recognized with a Best Paper Award at ICICC 2026.

Avijit holds a BS in Computer Science and Information Security and an Advanced Certificate in Applied Digital Forensic Science from John Jay College of Criminal Justice, CUNY, and is currently completing his MS in Digital Forensics and Cybersecurity. His research has been supported by the NSF ACCESS Jetstream2 GPU allocation and the NAIRR Pilot program.