Personal profile
Research profile
Gregor Baer is a Doctoral Candidate in explainable AI at the Information Systems group at the department of Industrial Engineering & Innovation Sciences (IE&IS) at Eindhoven University of Technology (TU/e). He studies explainability in AI, focusing on what makes explanations useful and when they can be trusted. Working with time series data, he investigates how to rigorously evaluate whether explanations are technically correct, and whether technical improvements actually translate into better human understanding of AI decisions.
His main research interests include (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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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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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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Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding
Baer, G., Zhang, C., Grau, I. & Gorp, P. V., 26 Mar 2026, arXiv.org, 24 p.Research output: Working paper › Preprint › Academic
Open AccessFile8 Downloads (Pure) -
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Baer, G. (Corresponding author), Grau, I., Zhang, C. & Van Gorp, P., 14 Oct 2025, Explainable Artificial Intelligence: Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings. Guidotti, R., Schmid, U. & Longo, L. (eds.). Cham: Springer, Vol. Part IV. p. 292-314 23 p. (Communications in Computer and Information Science (CCIS); vol. 2579).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)47 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 AccessFile41 Downloads (Pure) -
xaitimesynth: A Python Package for Evaluating Attribution Methods for Time Series with Synthetic Ground Truth
Baer, G., 6 Mar 2026, arXiv.org, 9 p.Research output: Working paper › Preprint › Academic
Open AccessFile11 Downloads (Pure) -
Why do Class-Dependent Evaluation Effects Occur with Time Series Feature Attributions? A Synthetic Data Investigation
Baer, G. (Corresponding author), Grau, I., Zhang, C. & Van Gorp, P., 1 May 2026, Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers. Koprinska, I., Mendes-Moreira, J. & Branco, P. (eds.). Cham: Springer, Vol. IV. p. 380-395 16 p. (Communications in Computer and Information Science (CCIS); vol. 2842).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile3 Downloads (Pure)
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
Courses
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Design of business information systems
Tsilionis, K., Ozkan, B., Baer, G., Ribeiro de Oliveira, T. & Glazunova, O. 1/09/13 → 31/08/26
Course
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Fundamentals of algorithmic programming for Operations Management
Wu, Y., de Kinderen, S., Dijkman, R. M., Jiang, X., Huet, R., Baer, G. & Hu, C. 1/09/23 → 31/08/26
Course