Personal profile
Research interests
I passion about finding scalable, explainable, and reliable machine learning (ML) solutions for applications in precision medicine. The core aim of precision medicine is to find the right treatment at the right time for the right patient, and ML can substantially aid in realizing these goals. In my research, I try to i) use scalable ML solutions on large clinical cohorts to spell heterogeneity in healthy and patient populations; ii) find interpretable ML solutions somehow we can translate the decisions of an ML model into practical recommendations for both clinicians and patients, and iii) exploit model uncertainty estimation techniques for more reliable decision making.
Career
- November 2022-Now: Assistant professor at the department of cognitive science and artificial intelligence, Tilburg University, Tilburg, the Netherlands.
- September 2020-November 2022: Postdoc researcher at the department of psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- April 2017-September 2020: Postdoc researcher at Donders institute for brain, cognition, and behavior, Radboud University Medical Center, Nijmegen, the Netherlands
Current courses
- Methods for Responsible AI
- Introduction to Machine Learning
- Master's Thesis Data Science in Action
Current courses
Click here for my courses.
Education/Academic qualification
Computer science, PhD, University of Trento
1 Sept 2013 → 26 Apr 2017
Award Date: 26 Apr 2017
Master’s Degree, CIMeC, University of Trento
1 Sept 2011 → 21 Jul 2013
Award Date: 21 Jul 2013
Computer science, Bachelor’s Degree, Ferdowsi University of Mashhad
1 Sept 2002 → 4 Jul 2007
Award Date: 4 Jul 2007
External positions
Reseacrh (Donders Institute)
1 Jan 2024 → …
Research (University Medical Center Utrecht)
1 Sept 2020 → …
Keywords
- Machine Learning
- Neuroimaging
- Federated Learning
- Neural Networks
- Mental Health
- Neuroscience
- Deep learning
- Normative Modeling
- Neuroinformatics
- Artificial Intelligence
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
Fingerprint
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Collaborations and top research areas from the last five years
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Lifespan normative modeling of brain microstructure
Alzheimer’s Disease Neuroimaging Initiative, 27 May 2026, In: Nature Communications. 17, 1Research output: Contribution to journal › Article › Scientific › peer-review
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Normative modeling of MEG brain oscillations across the human lifespan
Zamanzadeh, M., Verduyn, Y., de Boer, A., Ros, T., Wolfers, T., Dinga, R., Šafář Postma, M., Marquand, A. F., van Wingerden, M. & Kia, S. M., 17 Mar 2026, (E-pub ahead of print) In: Communications biology.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Lifespa normative modeling of brain microstructure
Alzheimer’s Disease Neuroimaging Initiative, 4 Oct 2025, bioRxiv, (bioRxiv : the preprint server for biology).Research output: Working paper › Scientific
Open Access -
Multiscale heterogeneity of white matter morphometry in psychiatric disorders
Segal, A., Smith, R. E., Chopra, S., Oldham, S., Parkes, L., Aquino, K., Kia, S. M., Wolfers, T., Franke, B., Hoogman, M., Beckmann, C. F., Westlye, L. T., Andreassen, O. A., Zalesky, A., Harrison, B. J., Davey, C. G., Soriano-Mas, C., Cardoner, N., Tiego, J. & Yücel, M. & 7 others, , 7 Apr 2025, (E-pub ahead of print) In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Prognostic predictions in psychosis: exploring the complementary role of machine learning models
Dee, V. V., Kia, S. M., Fregosi, C., Swildens, W. E., Alkema, A., Batalla, A., van den Berg, C., Coric, D., van Dellen, E., Dijkstra, L. G., van den Doel, A., Dominicus, L. S., Enterman, J., Gerritse, F. L., van der Horst, M. Z., van Houwelingen, F., Koch, C. S., Koomen, L. E. M., Kromkamp, M. & Lancee, M. & 12 others, , 26 Jun 2025, In: BMJ mental health. 28, 1, 8 p., e301594.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Downloads (Pure)
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Predicting the Nurse Perceived Adequacy of Staffing Scale (NPASS) Score Using Machine Learning
Rostami Kandroodi, M. (Principal Investigator), Wang, G. (Researcher), Kia, S. M. (Researcher), van der Mark, C. (Researcher) & van Oostveen, C. (Researcher)
1/09/25 → 31/08/27
Project: Research project
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Normative Range of P600 Morphology as a Diagnostic and Prognostic Tool in Neuropsychiatric Disorders
Kia, S. M. (Principal Investigator), Brouwer, H. (CoPI), van Wingerden, M. (Researcher), Šafář, M. (Researcher), Cahn, W. (CoPI), van Dellen, E. (Researcher), van Gestel, M. (Researcher), Swildens, W. E. (Researcher) & Aurnhammer, C. (Researcher)
1/06/25 → 31/05/27
Project: Research project
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AI Deployment Journey in Healthcare: Governance, Design, and Adoption
Ou, C. (Principal Investigator), Jacobs, M. (CoPI), Heising, L. (Co-Investigator), van Oijen, A. (Co-Investigator), Ong, S. (CoPI), Šafář, M. (CoPI), Saygili, G. (Co-Investigator), Weggelaar, A. M. (CoPI), de Bont, A. (CoPI), Ossewaarde, R. (Co-Investigator), Wang, G. (Co-Investigator), Zegveld, C. (Co-Investigator), Meyers, G. (Co-Investigator), Vuorre, M. (Co-Investigator), Kia, S. M. (Co-Investigator) & Laitenberger, U. (Co-Investigator)
1/01/24 → 1/01/28
Project: Research project
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MEGaNorm: Charting Brain Dynamics using Normative Modeling
Kia, S. M. (Principal Investigator), van Wingerden, M. (CoPI), Šafář, M. (CoPI) & Zamanzadeh Nasrabadi, M. (Researcher)
1/01/24 → 31/12/27
Project: Research project
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Charting the Normative Electroencephalography in Healthy Aging Population
Kia, S. M. (Principal Investigator), Stekelenburg, J. (CoPI), van Wingerden, M. (Co-Investigator), Zamanzadeh Nasrabadi, M. (Researcher), Verduyn, Y. (Researcher) & Wolfers, T. (Co-Investigator)
1/09/24 → 31/08/25
Project: Research project