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Research profile
Gregor Baer is a Doctoral Candidate in the Information Systems group at the department of Industrial Engineering & Innovation Sciences (IE&IS) at Eindhoven University of Technology (TU/e). He studies how we can understand why AI algorithms make the decisions they do. The key questions center on what makes explanations useful - from technical measures of quality to how domain experts or data scientists interpret and use them in decision-making. Working with time series data, he investigates approaches to build AI systems that support meaningful understanding of their predictions and explore how domain expertise can be fed back through explanations to improve these systems.
His main research interests include Artificial Intelligence (AI), explainable AI, data-driven decision-making, time series analysis, and human-AI interaction. He is supervised by Dr. Pieter van Gorp, Dr. Isel Grau Garcia, and Dr. Chao Zhang.
Academic background
Before joining TU/e as a PhD candidate, Gregor completed a master's degree in Data Science at Utrecht University and a master's degree in Economics at Vrije Universiteit Amsterdam. He currently contributes to the human-centric AI pillar of the EU research project ENFIELD.
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):
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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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Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Baer, G., Grau, I., Zhang, C. & Van Gorp, P., 24 Feb 2025, arXiv.org, 24 p.Research output: Working paper › Preprint › Academic
Open AccessFile45 Downloads (Pure) -
Why Do Class-Dependent Evaluation Effects Occur with Time Series Feature Attributions? A Synthetic Data Investigation
Baer, G., Grau, I., Zhang, C. & Van Gorp, P., 13 Jun 2025, arXiv.org, 16 p.Research output: Working paper › Preprint › Academic
Open AccessFile22 Downloads (Pure) -
The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments
Abbaspour Onari, M., Baer, G., Zhang, C., Grau, I., Nobile, M. S. & Zhang, Y., 24 Mar 2025, (Accepted/In press).Research output: Contribution to conference › Paper › Academic
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Machine Learning to Predict Microvascular Obstruction and Left Ventricular Dysfunction in ST-Elevation Myocardial Infarction
Baer, G., Grau, I., Zhang, C., Van Gorp, P., Wijnbergen, I. F., van Dantzig, J. M., Brueren, B. R. G., van den Bosch, H. C. M., Vlaar, P. J., Tonino, W. A. L., Teeuwen, K., de Vos, A., van 't Veer, M., Berry, C., Setz-Pels, W., Pijls, N. H. J., El Farissi, M. & Otterspoor, L. C., Nov 2024. 1 p.Research output: Contribution to conference › Abstract › Academic
Open Access
Activities
- 1 Workshop, seminar, course or exhibition
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ENFIELD Project's 2nd General Assembly and 2nd Workshop of the Human-Centric AI and Trustworthy AI Research Pillars
Baer, G. (Organiser), Grau Garcia, I. (Organiser) & Zhang, C. (Organiser)
10 Sept 2024 → 13 Sept 2024Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific