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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, (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.


Isel Grau is promotor / co-promotor of:

- Mohsen Abbaspour Onari

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.


I create 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, Self-labeling Grey-Box Model: An Interpretable Semi-Supervised Classifier, Vrije Universiteit Brussel

Award Date: 9 Oct 2020

Artificial intelligence, expert systems, Master, Modeling HIV drug resistance with interpretable recurrent neural networks, Central University of Las Villas

Award Date: 18 Sept 2014

Computer science, other, Bachelor, Learning with variable length instances in recurrent neural networks, Central University of Las Villas

Award Date: 15 Jul 2011


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Collaborations and top research areas from the last five years

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  • Best Demo Award BNAIC/BENELearn 2021

    Grau Garcia, Isel (Recipient), Hernandez, Luis Daniel (Recipient), Sierens, Astrid (Recipient), Michel, Simeon (Recipient), Sergeyssels, Nico (Recipient), Froyen, Vicky (Recipient), Middag, Catherine (Recipient) & Nowé, Ann (Recipient), Nov 2021

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