Avijit Roy

I build and study secure, privacy-aware AI systems at the intersection of cybersecurity, digital forensics, data infrastructure, and human-centered computing. As an educator, researcher, and data analyst, I focus on translating complex technical ideas into practical systems, applied research, and real-world learning experiences.

Research Output Engineering Portfolio

Affiliation John Jay College
The City University of New York (CUNY)

Core Capabilities Applied AI, Privacy-Preserving Systems, Secure Software Engineering, Data Infrastructure

Active Domains Cybersecurity, Applied AI & Digital Forensics

Professional Thesis

I am based in New York City, originally from Bangladesh. My work sits at the intersection of cybersecurity, digital forensics, artificial intelligence, and applied data systems. I fundamentally believe that high-quality technology should solve structural problems while preserving human privacy.

I currently serve as a Data Analyst at the City University of New York (CUNY) Central Office and an Adjunct Lecturer in Computer Science at John Jay College. In the classroom, I prioritize systems-thinking and ethical computing. In the office, I build deterministic reconciliation workflows and robust validation pipelines handling massive, multi-campus datasets.

My ongoing machine learning research on low-resource language infrastructure is actively supported by computational allocations from the NSF ACCESS program, where I serve as Principal Investigator.

Beyond the terminal, I am an avid traveler and photographer. Experiencing diverse cultures continues to shape how I approach system architecture: with empathy, wide perspective, and an eye for structural resilience.

Education

MS — Digital Forensics & Cybersecurity (D4CS), John Jay College (CUNY), 2026
Claude Hawley Medal · Awarded for the best master's thesis and/or scholastic distinction in the graduate program

Graduate Achievement Award · Commencement award recognizing perseverance, leadership, and impact within the graduate community

Student Council Scholarship · Recognized for academic dedication, leadership, resilience, and community impact
Advanced Certificate — Applied Digital Forensic Science (CAD4SCI), John Jay College (CUNY), 2025
BS — Computer Science & Information Security, John Jay College (CUNY), 2021
Leonard E. Reisman Medal · Outstanding Senior for Distinguished Scholarship & Service

Teaching & Mentorship

I teach applied computer science with a focus on clear algorithmic thinking and secure systems. Mentoring students to build robust software is a cornerstone of my professional practice.

Current Courses at John Jay College (CUNY)

Spring 2026: Object-Oriented Programming (C++) & Introduction to Programming

Explore Teaching Portfolio → Free Student Tools

Focus Areas

Where teaching, research, and engineering converge into practice.

Privacy-Preserving AI

Designing machine learning architectures prioritizing local inference, hardware security boundaries, and explainable risk models without sacrificing capability.

Cyber & Forensics

Developing secure systems, anti-phishing safeguards, and immutable evidence validation protocols for investigative analysis.

Applied Data Systems

Enabling institutional scalability through .NET backends, optimized SQL data warehouses, and rigorous CI/CD cloud integrations.

Technical Mentorship

Mentoring the next generation of engineers to master programmatic rigor, algorithmic thinking, and ethical software architecture.

Academic Research

Advancing the intersection of cybersecurity, applied machine learning, and public-interest intelligence systems.

Best Paper Award — ICICC 2026

Privacy-Preserving MIS Architectures

Integrating blockchain validation, federated learning, and zero-trust models to enable secure distributed data collaboration while minimizing centralized exposure.

Read the Paper

FLAIRS-39 Oral Presentation

Propasafe-Hybrid

A hybrid propaganda detection system combining local BERT-based sentence classification, selective LLM explainability, and cost-aware filtering for practical media analysis workflows.

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Patent Pending

Client-Side Phishing Risk Assessment

A localized, staged phishing detection architecture utilizing onboard ONNX transformer inference to evaluate risks entirely within the email client runtime.

View Protocol

Engineering Portfolio

Scalable toolchains and rigorous system deployments.

BlitzTips

Multi-Agency Intelligence API. A secure, real-time investigation platform built with .NET Core and React to triage sensitive trafficking tips with live geospatial data streaming.

View Spec

Django Auth

Strict Session Enforcement. An asynchronous authentication system relying on deterministic token invalidation and GeoIP logging to prevent concurrent testing access.

View Source

ArticleExtractor

NLP Data Cleanse Protocol. A robust extraction engine that aggressively strips HTML noise to yield perfectly normalized datasets utilized for sentiment and linguistic analyses.

View Details

HashNow

Zero-Trust Verifier. A local WASM-powered browser tool calculating MD5, SHA-1, and SHA-256 signatures client-side, guaranteeing absolute document confidentiality.

Test Tool

Initiate Contact

I enjoy connecting with technologists, educators, and storytellers. Whether discussing architectural design patterns or sharing global travel experiences, I'd be glad to hear from you.

hey [at] avijitroy.com

Professional networking: LinkedIn · GitHub · ORCiD · Medium