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Personal profile

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, cognitive 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.

Academic background

Isel Grau received her Ph.D. in Computer Science from the Vrije Universiteit Brussel (VUB), Belgium, and her MSc degree in Computer Science from the Central University of Las Villas, Cuba. 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 such as the Interuniversity Institute of Bioinformatics Brussels, the Universitair Ziekenhuis Brussel, and industry partners (e.g., Collibra NV) on interdisciplinary projects funded by VUB and INNOVIRIS. She has active collaboration with researchers from Queen’s University Belfast, Hasselt University, Universidad de Talca, Warsaw University of Technology, and Tilburg University.


I want to contribute to AI solutions that are accurate and useful, but also transparent and fair.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

Artificial intelligence, expert systems, Doctor, Vrije Universiteit Brussel

Award Date: 9 Oct 2020

Artificial intelligence, expert systems, Master

Award Date: 18 Sep 2014


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  • Best Demo Award BNAIC/BENELearn 2021

    Grau Garcia, Isel (Recipient), Hernandez, L. D. (Recipient), Sierens, A. (Recipient), Michel, S. (Recipient), Sergeyssels, N. (Recipient), Froyen, V. (Recipient), Middag, C. (Recipient) & Nowé, A. (Recipient), Nov 2021

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific