Hilmi Demirhan

Hilmi Demirhan is a Lecturer in Information Systems who has been teaching undergraduate and graduate courses at the University of North Carolina Wilmington since 2020. He has also taught a summer course at the University of North Carolina at Charlotte. He serves as a Faculty Research Mentor at North Carolina State University, where he guides students on artificial intelligence projects. His professional background includes experience at FactSet, a financial software and analytics company, and Google, and these industry experiences are reflected in his hands-on, applied approach to teaching.

Education

University of North Carolina at Charlotte, Ph.D. in Computing and Information Systems
University of North Carolina Wilmington, M.S. in Computer Science and Information Systems
Goldey Beacom College, M.B.A. in Finance Management
Dokuz Eylul University, B.A. in Business Administration

Specialization in Teaching

He teaches topics including AI and machine learning, database systems, networking, information systems and health informatics, with a strong focus on data quality, system design, and responsible use of technology. Students work with realistic datasets and applied projects to develop practical skills in analysis, problem solving, and technical communication.

Research Interests

His research focuses on causal reasoning and multimodal artificial intelligence, including agentic AI for question answering and reasoning, large language models, natural language processing, and computer vision. His recent work includes multimodal medical question answering, causal reasoning over clinical and instructional videos, machine learning for human activity recognition, remote visual photoplethysmography for non-contact vital sign estimation, and intelligent information retrieval from large-scale data.

Professional Service

He actively contributes to the academic community through research mentoring, peer review, and participation in AI and data science research initiatives. He has served as a faculty research mentor for undergraduate and graduate students, guiding teams in applied and competitive research projects and supporting inclusive participation in computing.

Honors & Awards

Large-Scale Biomedical Question Answering (BioASQ) Challenge — 4th Place
Medical Video Question Answering (MedVidQA) Challenge — 4th Place
NeurIPS Embodied Agent Interface (EAI) Challenge — 18th Place
NeurIPS CURE-Bench Kaggle Challenge (Faculty Research Mentor) — 17th Place
Activity and Behaviour Computing (ABC) Challenge for Parkinson’s Activity Recognition (Faculty Research Mentor) — 3rd Place