Isel Grau is an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e). Her research focuses on advancing Artificial Intelligence, particularly in recurrent neural networks, time-series analysis, data-driven decision-making, and explainable AI. A key aspect of her work is enhancing the interpretability of machine learning models by developing novel explanation methods and incorporating expert feedback to refine AI systems. She also enjoys interdisciplinary research, applying her expertise to diverse domains such as bioinformatics, materials science, healthcare, and supply chain forecasting to drive real-world impact.

PhD SUPERVISION
Isel Grau is promotor / co-promotor of:

• Mohsen Abbaspour Onari (graduated)
• Gregor Baer
• Bram Biemans

Isel Grau received her Ph.D. in Computer Science from Vrije Universiteit Brussel (VUB), Belgium, where her research focused on machine learning interpretability and semi-supervised classification. During her postdoctoral work at the Artificial Intelligence Laboratory of VUB, she collaborated on interdisciplinary projects funded by INNOVIRIS Brussels and IRP-VUB.

Isel has co-authored over 80 publications in peer-reviewed international conferences and journals and has been actively involved in organizing thematic workshops. She frequently serves as a reviewer for leading AI conferences and journals. She has also been a visiting researcher at institutions such as Warsaw University of Technology and the University of Lisbon.

My research transforms AI from black-box models into transparent decision-making tools that empower people to make informed and reliable choices.