Personal profile
Academic background
Mohsen Abbaspour Onari currently is a Ph.D. Candidate in Information Systems Group at the Industrial Engineering & Innovation Sciences (IE&IS) at Eindhoven University of Technology (TU/e). He also is a member of the Eindhoven Artificial Intelligence System Institute (EAISI). He held a Bachelor of Industrial Engineering from Islamic Azad University, Iran in 2015 and received an MSc of Industrial Engineering minor Systems Optimization from the Urmia University of Technology, Iran in 2019, respectively. His master thesis title is "Developing fuzzy cognitive maps based on the game theory" to model the complex systems in interactive behavior under the supervision of Prof. Mustafa Jahangoshai Rezaee.
Research profile
His research outputs are in the fields of risk assessment, supplier selection, and developing intelligent decision support systems in the healthcare and manufacturing domains in the presence of uncertainty. The main approach is considering systems as cause-and-effect complex models and by data-driven optimization based on swarm intelligence are optimized.
Currently, his main research focuses on developing explainable intelligent decision support systems based on interpretable Machine Learning methods in the healthcare domain under the supervision of Dr. Yingqian Zhang, Dr. Marco S. Nobile, and Dr. Isel Grau Garcia.
Quote
"One of the basic rules of the universe is that nothing is perfect. Perfection simply doesn't exist... Without imperfection, neither you nor I would exist."
- Stephen Hawking
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
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
Research output
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A hybrid error correction approach for prediction of credit approval: An explainable artificial intelligence approach
Darvish, E., Jahangoshai Rezaee, M. (Corresponding author) & Abbaspour Onari, M., 15 Mar 2025, In: Engineering Applications of Artificial Intelligence. 144, 19 p., 110140.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)27 Downloads (Pure) -
Assessing and Quantifying Perceived Trust in Interpretable Clinical Decision Support
Abbaspour Onari, M. (Corresponding author), Grau, I., Zhang, C., Nobile, M. S. & Zhang, Y., 12 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 III. p. 202-222 21 p. (Communications in Computer and Information Science (CCIS); vol. 2578).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile9 Downloads (Pure) -
From Explanation to Trust: Modeling and Measuring Trust in Explainable Decision Support
Abbaspour Onari, M., 4 Nov 2025, Eindhoven: Eindhoven University of Technology. 174 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile718 Downloads (Pure) -
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust
Abbaspour Onari, M., Magister, L. C., Wu, Y., Lupi, A., Creazzo, D., Tordin, M., Donatantonio, L. D., Quaia, E., Zhang, C., Grau, I., Nobile, M. S., Zhang, Y. & Liò, P., 2 Aug 2025, arXiv.org, 24 p.Research output: Working paper › Preprint › Academic
Open AccessFile10 Downloads (Pure) -
The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments
Abbaspour Onari, M. (Corresponding author), Baer, G., Zhang, C., Grau, I., Nobile, M. S. & Zhang, Y., 12 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 I. p. 316-334 19 p. (Communications in Computer and Information Science (CCIS); vol. 2576).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile15 Downloads (Pure)
Courses
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Business analytics & decision support
Grau Garcia, I., Bukhsh, Z., Abbaspour Onari, M. & Jiang, X. 1/09/23 → 31/08/26
Course
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Business analytics & decision support
Grau Garcia, I., Bukhsh, Z., Abbaspour Onari, M. & Jiang, X. 1/09/19 → 31/08/26
Course