Murat Seçkin Ayhan

Assistant Professor

Location: UW1-271G
Email: msayhan@uw.edu

Background

Dr. Murat Seçkin Ayhan is an assistant professor in the Department of Computing & Software Systems at UW Bothell. He studied computer engineering at Baskent University in Ankara, Turkey and received his BSc. and MSc. degrees in 2004 and 2007, respectively. In 2008, he joined the University of Louisiana at Lafayette to continue his graduate studies. He obtained another MSc. degree in computer science from UL Lafayette in May 2010 and completed his PhD research in May 2015. During his PhD, he studied machine learning for computerized diagnosis of Alzheimer’s disease from neuroimages. Between September 2015 and July 2017, he worked as an assistant professor at the Department of Computer Engineering at Isik University in Istanbul, Turkey. Then, he joined the University of Tübingen in Germany as a researcher, where he and his colleagues developed clinically-relevant deep learning solutions within the context of ophthalmology. After five years in the beautiful city of Tübingen, he moved to London, where he joined University College London and Moorfields Eye Hospital as a Senior Research Fellow. Dr. Ayhan has published his research outcomes in premier venues for both technical and clinical audiences. Since Autumn 2025, he continues his academic and research activities at UW Bothell.

Research

Progress in artificial intelligence (AI) continues to accelerate at a remarkable pace. While instances of AI are expected to stimulate digital innovation and have transformative impacts in our lives through diverse applications, an extensive adoption of AI also calls for scrutiny in order to ensure the safety of these systems and the distribution of their benefits to all, especially in high-stakes fields like medicine. In his research, Dr. Ayhan addresses modern challenges regarding not only the development of AI-based solutions with tangible impact but also their thorough inspection prior to deployment in safety critical settings. His overarching goal is to facilitate the transformation of healthcare in the digital era through efficient use of AI at scale.

Courses

  • CSS 342 Data Structures, Algorithms, and Discrete Mathematics I
  • CSS 343 Data Structures, Algorithms, and Discrete Mathematics II

Education

University of Louisiana at Lafayette

  • Ph.D.
  • MSc – Computer Science

Baskent University

  • MSc – Computer Engineering
  • BSc – Computer Engineering