Projects per year
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
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):
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
Projects
- 1 Active
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ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI
Van Gorp, P. (Project Manager), Zhang, C. (Project member), Grau Garcia, I. (Project member) & Baer, G. (Project member)
1/09/23 → 31/08/26
Project: Third tier
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Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps
Concepción, L., Nápoles, G., Jastrzębska, A., Grau, I. & Salgueiro, Y. (Corresponding author), Jan 2025, In: Applied Soft Computing. 169, 13 p., 112604.Research output: Contribution to journal › Article › Academic › peer-review
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Learning of Fuzzy Cognitive Map models without training data
Nápoles, G., Grau, I., Concepción, L., Salgueiro, Y. (Corresponding author) & Vanhoof, K., 28 Mar 2025, In: Neurocomputing. 623, 10 p., 129409.Research output: Contribution to journal › Article › Academic › peer-review
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AI-Anomaly Project: Condition Assessment of Urban Water Assets through the Detection of Cracks based on Artificial Intelligence Methods
Cabral, M., Matos, J. P., Silva, A., Valenca, J., Grau, I., Santos, B. & Correia, T., 2024, 8th IAHR Europe Congress: Water-across boundaries. Mendoça, A. & Matos, J. (eds.). 1st ed. LNEC, p. 463-464 2 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile17 Downloads (Pure) -
A revised cognitive mapping methodology for modeling and simulation
Nápoles, G., Grau, I. & Salgueiro, Y. (Corresponding author), 5 Sept 2024, In: Knowledge-Based Systems. 299, 13 p., 112089.Research output: Contribution to journal › Article › Academic › peer-review
2 Citations (Scopus) -
Backpropagation through time learning for recurrence-aware long-term cognitive networks
Nápoles, G. (Corresponding author), Jastrzebska, A., Grau, I. & Salgueiro, Y., 8 Jul 2024, In: Knowledge-Based Systems. 295, 10 p., 111825.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)76 Downloads (Pure)
Prizes
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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: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Industria Students Award - Best Talent
Grau Garcia, I. (Recipient), Jan 2024
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities
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SOFI: A Sparseness-Optimized Feature Importance Method
Grau Garcia, I. (Invited speaker)
21 Jan 2025Activity: Talk or presentation types › Invited talk › Scientific
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Escuela de Verano DIASMA 2025
Grau Garcia, I. (Contributor)
13 Jan 2025Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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Vrije Universiteit Brussel (External organisation)
Grau Garcia, I. (Member)
9 Jan 2025Activity: Membership types › Membership of committee › Scientific
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VLAIO (External organisation)
Grau Garcia, I. (Reviewer)
Nov 2024Activity: Membership types › Membership of committee › Scientific
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Workshop on Trustworthy Sequential Decision-making and Optimization (ECAI2024)
Baier, H. (Organiser), Bliek, L. (Organiser), Bukhsh, Z. (Organiser), Grau Garcia, I. (Organiser), Wu, Y. (Organiser) & Zhang, Y. (Organiser)
19 Oct 2024 → 20 Oct 2024Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
Courses
Press/Media
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Papers de Yamisleydi Salgueiro son publicados en dos reconocidas revistas científicas
3/06/22
1 item of Media coverage
Press/Media: Research