Authentication Ceremonies in E2EE Messaging
A security evaluation of social-media-based identity verification in end-to-end encrypted messaging, accepted at the International Conference on Information Security (ISC) 2026.
PhD researcher in end-to-end encrypted communication, authentication ceremonies, and ML/LLM security at the SPIES Lab, advised by Prof. Nitesh Saxena, with four years of industry software engineering experience in Germany and Bangladesh.
I am a PhD Candidate in Computer Science at Texas A&M University (GPA 4.0), working with Prof. Nitesh Saxena in the SPIES Lab. My research examines how end-to-end encrypted communication holds up when real people and AI systems enter the picture.
My work combines cryptographic protocol analysis, empirical user studies, and applied machine learning, with results published across leading venues in security, sensing, and machine learning.
Before research, I spent four years shipping production software: OAuth2/SAML systems in Germany, a debit-card API serving 3M+ banking customers in Bangladesh, and secure ASP.NET platforms for 100K+ users.
Peer-reviewed work across secure communication, applied machine learning, and cloud-native systems.
A security evaluation of social-media-based identity verification in end-to-end encrypted messaging, accepted at the International Conference on Information Security (ISC) 2026.
AR/VR device fingerprinting and user-device pairing detection via shared motion sensor data, accepted at ACM WiSec 2026.
Two peer-reviewed studies of security challenges and access-control design in cloud-native systems, supported by Cloudalyze, an open-source analysis pipeline.
A peer-reviewed review of integrating text and image data in machine learning architectures, published in Machine Learning and Knowledge Extraction.
Automatic music generation using quantum computing, published in Reports on Progress in Physics.
A curated dataset of microservices-based open-source projects, published at the International Conference on Mining Software Repositories.
Current projects at the SPIES Lab examine authentication ceremonies, device linking, and the role of AI in end-to-end encrypted communication. Details are shared after publication.
13 peer-reviewed publications spanning secure communication, AI-driven identity verification, cloud-native security, and multimodal machine learning.
From production banking and enterprise systems to full-time security research.
Core technologies across security research, machine learning, and large-scale software engineering.
Awarded in 2016 and 2017 for sustained academic excellence.
Led 70+ members at Baylor University (2022).
Led 120+ members at Baylor University (2023).
Mentored 7 undergraduate thesis & capstone students across Baylor and MIST.
Recent milestones and the direction of my research.
Open to research collaborations, PhD-level security work, and conversations about E2EE, authentication, and AI safety. The fastest way to reach me is email.