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Author

Nazmus Sakib

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Conference Aug 2026

Unraveling How Generative AI and Agentic AI Can Reshape the Scope of Digital Health: The Good, The Bad, and The Ugly

Artificial intelligence is revolutionizing the field of healthcare at an ever-increasing rate; yet, the fundamental question does not merely revolve around whether artificial intelligence can carry out clinical or administrative functions. Rather, it is concerned with how generative artificial intelligence and agentic...

Awan-Ur-Rahman, Ben Freeman, Anne H. Burkett et al. · 0 citations
Conference Aug 2026

A Scalable Interoperable Data Science System for Trauma-Informed Care: Enhancing ACE Interventions with Real-Time Analytics, AI-Powered Insights, and Clinical Decision Support

Adverse Childhood Experiences (ACEs) remain a critical public health challenge, with long-term effects on physical health, mental well-being, and socioeconomic outcomes. Despite ongoing trauma-informed care (TIC) initiatives, existing systems lack integrated, real-time data analytics and accessible decision-support too...

Mohmmad Arif Shaik, Andrea Meyer Stinson, Audrey Idaikkadar et al. · 0 citations
Conference Aug 2026

Enhancing AD/ADRD Management Through iHelpCare: A Compliant and Culturally Sensitive AI-Driven Digital Healthcare Platform

The digital healthcare field is expanding fast, and now it requires platforms that use advanced technology and maintain robust data security and compliance practices. In this paper, we present the main architecture, key methodologies, and compliance strategies of iHelpCare, a digital healthcare system designed to meet...

Soarov Chakra Borty, Trisha Bhowmick, Mehedi Hasan et al. · 0 citations
Review Jul 2026

Trust but Verify? Uncovering the Security Debt of Autonomous Coding Agents

This paper presents a large-scale empirical study using the AIDev dataset to systematically characterize security code smells in agent-generated pull requests (PRs), finding that human collaborators are responsible for introducing 67.6% of genuine leaked secrets within these agent-assisted workflows.

A. H. M. Nazmus Sakib, Dipayan Banik, Murtuza Jadliwala · 0 citations

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