Kubilay Atasu

I am an Associate Professor at the Delft University of Technology, where I am affiliated with the Data Intensive Systems Section of the Department of Software Technology.

I am a Senior Member of IEEE and the principal investigator of a Swiss National Science Foundation (SNSF) project aimed at building scalable graph ML solutions for financial crime analysis. My research interests include graph algorithms, graph neural networks, parallel computing, hardware acceleration, and their applications to real-world problems.

Before joining TU Delft in January 2024, I was a Senior Research Scientist at IBM Research – Zurich , where I spent 15 years. Notably, I led a global IBM Research Challenge on scalable and automated graph machine learning from 2021 to 2023. This effort led to new AI-powered real-time transaction monitoring capabilities in IBM’s mainframe software solutions (specifically, in the AI Toolkit for IBM Z and LinuxOne) as well as an IBM Outstanding Technical Accomplishment Award in December 2023.

While with IBM Research – Zurich, I also taught postgraduate courses at the University of Tübingen and at the Sabanci University, Istanbul. Furthermore, I served in the technical program committees or organizing committees of more than 50 scientific conferences and co-chaired two (IEEE ASAP 2013 and IEEE ASAP 2014 conferences).

Before joining IBM Research – Zurich, I was with the École Polytechnique Fédérale de Lausanne (2002–2003), Bogazici University Istanbul (2003–2005), and Imperial College London (2005–2008), where I worked on design automation of application-specific microprocessors, and obtained two best paper awards for this work (at the DAC 2003 and at the IEEE ASAP 2008 conferences).