6 papers
AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection
Touseef Hasan, Mounika Ghanta, Souvika Sarkar +1
Digital twins are increasingly used to monitor and simulate the behavior of cyber-physical systems. Even with skilled operators, interpreting anomalies detected within digital twin…
TRACE: Trustworthy Retrieval-Augmented Conversational Engine
Touseef Hasan, Laila Cure, Souvika Sarkar
Public service chatbots are expected to deliver recommendations from an underlying public service directory, while also making sure that the recommendations respect explicit user c…
SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
Touseef Hasan, Blessing Airehenbuwa, Nitin Pundir +2
Large language models (LLMs) have shown remarkable capabilities in natural language processing tasks, yet their application in hardware security verification remains limited due to…
Are LLMs Ready to Replace Bangla Annotators?
Md. Najib Hasan, Touseef Hasan, Souvika Sarkar
Large Language Models (LLMs) are increasingly used as automated annotators to scale dataset creation, yet their reliability as unbiased annotators--especially for low-resource and…
Retrieval Challenges in Low-Resource Public Service Information: A Case Study on Food Pantry Access
Touseef Hasan, Laila Cure, Souvika Sarkar
Public service information systems are often fragmented, inconsistently formatted, and outdated. These characteristics create low-resource retrieval environments that hinder timely…
Advancing Security with Digital Twins: A Comprehensive Survey
Blessing Airehenbuwa, Touseef Hasan, Souvika Sarkar +1
The proliferation of electronic devices has greatly transformed every aspect of human life, such as communication, healthcare, transportation, and energy. Unfortunately, the global…