Bayar Ilhan Menzat

Bayar Ilhan Menzat is a PostDoc Researcher at the Department of Artificial Intelligence Techniques, Vienna University of Technology (TU Wien). His work focuses on bridging machine learning, natural language processing, and clinical decision-support systems, emphasizing explainability and human-AI collaboration.

Research Interests

Menzat’s research explores the intersection of artificial intelligence and healthcare, with a focus on multimodal explanations for clinical applications. He also investigates neuroscience-inspired AI frameworks, as seen in his teaching of 'Neuroscience-based Artificial Intelligence' seminars.

Publications & Awards

In 2024, he co-authored a paper on contrasting textual and visual explanations in clinical decision-support systems at the EMNLP conference, earning the Outstanding Paper Award. His recent work highlights explainable AI, trust calibration, and cross-modal reasoning in medical contexts.

Scientific Recognition

• Outstanding Paper Award at EMNLP 2024 for contributions to clinical AI explainability