Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms. - Rima Hazra; Agnik Saha; Somnath Banerjee 002; Animesh Mukherjee 001 (CoRR, 2023)

TinyML for Cybersecurity: Deploying Optimized Deep Learning Models for On-Device Threat Detection on Resource-Constrained Devices. - Sonali Arcot; Mohammad Masum; Mohammad Shahidul Kader; Agnik Saha; Mohammed Chowdhury (IEEE Big Data, 2024)

Unveiling User Engagement Patterns on Stack Exchange Through Network Analysis. - Agnik Saha; Mohammad Shahidul Kader; Mohammad Masum (CoRR, 2024)

Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models. - Abdulkadir Erol; Trilok Padhi; Agnik Saha; Ugur Kursuncu; Mehmet Emin Aktas (CoRR, 2025)

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI. - Agnik Saha; Victoria Churchill; Anny D. Rodriguez; Ugur Kursuncu; Muhammed Y. Idris (CoRR, 2025)