معرفی
Sarah Hasan is a Research Fellow in the Department of Computer Science at Aalborg University, Denmark, operating within The Technical Faculty of IT and Design. She is affiliated with the Section for Distributed, Embedded and Intelligent Systems, specifically the Data Engineering, Science and Systems group, focusing on cutting-edge artificial intelligence research at Selma Lagerløfs Vej 300, 9220 Aalborg Øst.
Her research expertise spans Artificial Intelligence with concentrated efforts in Natural Language Processing, Knowledge Representation, and Machine Learning. She investigates logical consistency mechanisms in Large Language Models for fact-checking applications, addressing critical challenges like inconsistent responses through knowledge graph integration and retrieval-augmented techniques to enhance model reliability and reasoning capabilities.
Her current research trajectory is highlighted by a forthcoming publication at the International Conference on Learning Representations (ICLR 2025), which examines how Large Language Models maintain logical coherence during fact verification tasks. This work demonstrates significant advancements in mitigating response inconsistencies through structured knowledge integration, reflecting broader trends in trustworthy AI development.
She actively contributes to the Data Engineering, Science and Systems research ecosystem at Aalborg University, collaborating on intelligent systems projects that bridge theoretical AI research with practical data science applications in distributed computing environments.
