Serkan Ayvaz

About me

I am an Associate Professor at the Maersk Mc-Kinney Moller Institute and the SDU Center for Industrial Software, University of Southern Denmark.

I lead the Applied and Interpretable Machine Learning Research Group and co-chair the Data and Intelligence Lab.

My research lies at the intersection of AI interpretability, representation learning, and scalability of intelligent systems. I received my PhD in Computer Science from Kent State University. My broader interests include algorithmics, knowledge graphs, distributed systems, and applied artificial intelligence.

Selected publications

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Taxonomic and Spatial Geometry in Phytoplankton Monitoring Data

Ane Cathrine Holst Merrild, Serkan Ayvaz

Geometric Distributional Deep Learning Workshop at NeurIPS (accepted), 2026

Self-Reports Do Not Identify Self-Models: An Identifiability Test for Counterfactual Reports

Phongsakon Mark Konrad, Toygar Tanyel, Serkan Ayvaz

Philosophy of Machine Learning Workshop, ICML (oral), 2026