Isel Grau Garcia
Department / Institute
Group
RESEARCH PROFILE
Isel Grau is an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e). Her research interests lie in the area of Artificial Intelligence, particularly recurrent neural networks, (semi-)supervised classification, time-series analysis, data-driven decision making, and explainable AI. Her main research activity focuses on making machine learning black boxes more interpretable, formalizing prior knowledge from experts and using their feedback to improve AI models, identifying and correcting bias, and exploring these challenges in healthcare or business settings. She aims to develop more trustable and meaningful decision support systems that put human experts in the loop.
PhD SUPERVISION
Isel Grau is promotor / co-promotor of:
- Mohsen Abbaspour Onari
I create AI solutions that are accurate and useful, but also transparent and fair.
ACADEMIC BACKGROUND
Isel Grau received her Ph.D. in Computer Science from the Vrije Universiteit Brussel (VUB), Belgium. Her Ph.D. research focused on machine learning interpretability and semi-supervised classification. During her postdoctoral research at the Artificial Intelligence Laboratory of the VUB, she closely collaborated with institutions/companies such as the Interuniversity Institute of Bioinformatics Brussels, the Universitair Ziekenhuis Brussel, and Collibra, on interdisciplinary projects. She was a visiting researcher at the Warsaw University of Technology in 2022 and the University of Lisbon in 2023.
Recent Publications
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Mozhgan Vazifehdoostirani,Mohsen Abbaspour Onari,Isel Grau,Laura Genga,Remco M. Dijkman
Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring
(2024) -
Isel Grau,Gonzalo Nápoles,Marilyn Bello-García,Yamisleydi Salgueiro,Agnieszka Jastrzębska
Forward Composition Propagation for Explainable Neural Reasoning
IEEE Computational Intelligence Magazine (2024) -
Isel Grau,Gonzalo Nápoles,Fabian Hoitsma,Lisa Koutsoviti Koumeri,Koen Vanhoof
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
(2024) -
Gonzalo Nápoles,Isel Grau
Presumably correct undersampling
(2023) -
Mohsen Abbaspour Onari,Isel Grau,Marco S. Nobile,Yingqian Zhang
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey
(2023)
Current Educational Activities
Ancillary Activities
No ancillary activities