most citedAdvancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines

9 citations · 9 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CR2026

PatchRisk: Forecasting Future Vulnerability Exposure in Open-Source Dependency Networks

Ashfaq Ali Shafin, Khandaker Mamun Ahmed

Open-source software ecosystems are web-scale dependency networks. A downstream package can become exposed to security risk not because its own source code changes, but because one…

cs.LG2026

Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction

Ashfaq Ali Shafin, Khandaker Mamun Ahmed

Accurate job runtime prediction can improve scheduling-aware resource management in grid and distributed computing environments, but prediction models must be evaluated under reali…

cs.SI2026

Not All Duplicates Are Coordination: Generic vs. Non-Generic Duplicate Campaigns in Information Operations

Ashfaq Ali Shafin, Khandaker Mamun Ahmed

Duplicate content is widely used to study coordinated behavior in social media information operations (IOs), but not all repetition provides equally meaningful evidence of coordina…

cs.LG2026

Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models

Tapiwa Amion Chinodakufa, Ashfaq Ali Shafin, Khandaker Mamun Ahmed

Synthetic data generation offers promise for addressing data scarcity and privacy concerns in educational technology, yet practitioners lack empirical guidance for selecting betwee…

cs.CL2025

Introducing Axlerod: An LLM-based Chatbot for Assisting Independent Insurance Agents

Adam Bradley, John Hastings, Khandaker Mamun Ahmed

The insurance industry is undergoing a paradigm shift through the adoption of artificial intelligence (AI) technologies, particularly in the realm of intelligent conversational age…

cs.CV2025

Structural Damage Detection Using AI Super Resolution and Visual Language Model

Catherine Hoier, Khandaker Mamun Ahmed

Natural disasters pose significant challenges to timely and accurate damage assessment due to their sudden onset and the extensive areas they affect. Traditional assessment methods…