• 481
    Citations - based on content available in repository [source: Scopus]
20122025

Content available in repository

Personal profile

Research profile

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 addresses bias in AI models, leveraging explainability techniques as a tool for detection and mitigation. Her research spans healthcare and business applications, with the ultimate goal of developing trustworthy decision-support systems that integrate human expertise.

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

- Mohsen Abbaspour Onari

- Gregor Baer

- Bram Biemans

Academic background

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 with organizations such as the Interuniversity Institute of Bioinformatics Brussels, Universitair Ziekenhuis Brussel, and Collibra BV.

Isel has co-authored over 75 peer-reviewed publications and has been actively involved in organizing thematic workshops. She frequently serves as a reviewer for leading AI conferences and journals, including ECAI, BNAIC, LION, and IEEE Transactions on Fuzzy Systems. She has also been a visiting researcher at institutions such as Warsaw University of Technology and the University of Lisbon.

  

Quote

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

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, I. (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

  • Industria Students Award - Best Talent

    Grau Garcia, I. (Recipient), Jan 2024

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