Research profiles
Courses academic year 2025/2026
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201500371 - Capita Selecta BIT
- 202000278 - Big data & text mining (R)
- 202100031 - Big data & network analysis (R)
- 202300336 - Explainable AI
- 202400061 - Methodology & Techniques: Big Data An.
- 202400101 - Bachelor Thesis IBA
- 202500005 - Data-driven design
- 202500300 - Data Science
- 202500301 - Data Science - Additional Topics
- 202500322 - Data Science for GZW / pre-masters HS
- 202500323 - Data Science for ATLAS - Topics
- 202500324 - Data Science for ATLAS - Project
Courses academic year 2024/2025
- 192399979 - Final Project BIT
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201500371 - Capita Selecta BIT
- 202000278 - Big data & text mining (R)
- 202000576 - Research Proposal Bachelor Thesis IBA
- 202000579 - Bachelor Thesis IBA
- 202001521 - Capita Selecta EngD (external course)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202100031 - Big data & network analysis (R)
- 202200357 - Deep data and predictive modelling (R)
- 202300200 - Data Science
- 202300201 - Data Science - Additional Topics
- 202300202 - Data Science for ATLAS
- 202300336 - Explainable AI
- 202400061 - Methodology & Techniques: Big Data An.
- 202400101 - Bachelor Thesis IBA
- 202400106 - Bachelor Thesis IBA, DD with Múnster
- 202400203 - Data Science for GZW
My research focuses on Human-Centered Artificial Intelligence for health, with the development of explainable AI methods for healthcare applications as a central theme. Shared design methodologies are a core component of this work, with clinicians and patients involved throughout the development process to ensure interpretability, methodological validity, and clinical relevance. Across projects in EEG monitoring and classification, medical imaging, dermatology, sleep medicine, liver cancer prediction, and health-related education, the research addresses key challenges in healthcare AI, including limited sample sizes, demographic bias, missing and noisy data, privacy constraints, high-dimensional and streaming data, and the integration of multi-modal data such as EEG signals and medical imaging. The objective is to develop AI systems that are reliable, explainable, and suitable for deployment in real clinical and societal settings. An overview of my funded projects is provided below. These projects are the result of collaboration, joint brainstorming, and co-creation with colleagues from the university, healthcare, and education sectors.
2026 PESA-AI: Psoriasis and Eczema Severity Assessment with AI Using Standardized Clinical Photography
Funding: Pioneers in Healthcare Innovation Fund (PIHC).
In collaboration with Dr. Tanja Vogel (MST), Bram de Kinderen (MST), Prof. Dr. Stéphanie van den Berg (University of Twente), Drs. Lisette de Ruiter (ZGT), Dr. Boony Thio (MST), Dr. Matiènne van der Kamp (MST), Dr. Monique Gorissen (DZ), Danielle Ekkel (MST), Cornelieke Graat-van Steenbeek (MST), Anouk Veldhuis (ZGT), Jeroen Geerdink (ZGT), and Dr. ir. Coen Kuijpers (Saxion).
2026 Intelligent Diagnostics for Sleep Apnea Using Multimodal AI
Funding: Pioneers in Healthcare Innovation Fund (PIHC).
In collaboration with Tim Heuker of Hoek MSc (MST), Dionne Nijland MSc (MST), Dr. Timon Fabius (MST), Dr. Iris Knottnerus (MST), Dr. Jan Duijvestijn (MST), Prof. Dr. Stéphanie van den Berg (University of Twente), and Drs. Rutger Stroeve (ZGT).
2025 I See You: Remote EEG Sensing and Monitoring of Brain Function for Prognostication of Comatose Patients in the ICU
Funding: Holland High Tech. Global Challenges, Smart Solutions. TKI-HTSM (Systems Engineering for High Tech Systems).
In collaboration with Prof. Dr. Michel van Putten.
2025 DECIDE: Democratizing AI. Empowering Citizens through Transparent Decision Making
Funding: NWA.
In collaboration with a national consortium of over 50 partners across the Netherlands, led by Prof. Dr. Mieke Boon (BMS).
2025 Predicting Development of Primary Liver Cancer Using an AI-HCC Model
Funding: ZonMw MedZo.
In collaboration with Dr. M. Guichelaar (Medisch Spectrum Twente), Dr. D. Bouman, and Prof. Dr. Stéphanie van den Berg (BMS).
2024 Planetary Health Initiative
Funding: BMS Incentive Grant.
In collaboration with Dr. T. van Rompay and Dr. N. Beerlage-de Jong.
2024 Human Reading Assessment Using Explainable AI
Funding: Young Research Talents Programme, Research Council of Norway.
In collaboration with Dr. Arild Michel Bakken (University of Stavanger) and Prof. Dr. Stéphanie van den Berg (University of Twente).
2023 EEG Classification in the Clinic Using Explainable AI (ALICE)
Funding: Pioneers in Healthcare Innovation Fund (PIHC).
In collaboration with Prof. Dr. Michel van Putten and Dr. Marleen Tjepkema.
2023 Prediction of Hepatocellular Carcinoma Based on MRI Radiomics (CHARISMA)
Funding: Pioneers in Healthcare Innovation Fund (PIHC).
In collaboration with Dr. M. Guichelaar (Medisch Spectrum Twente), Dr. D. Bouman, and Prof. Dr. Stéphanie van den Berg.
2022 Automated Detection of Epileptiform Discharges Using Artificial Intelligence (AI4EPI)
Funding: Pioneers in Healthcare Innovation Fund (PIHC).
In collaboration with Prof. Dr. Michel van Putten and Prof. Dr. Stéphanie van den Berg.
2022 AI Literacy Network in Primary Education (AILIT)
Funding: Erasmus+.
In collaboration with Dr. Arild Michel Bakken (University of Stavanger), Dr. Erik Roelofs, and Dr. Johannes Steinrücke, as part of a consortium including University of Stavanger, University of Twente, Dublin City University, University of Aveiro, and Universitat Autònoma de Barcelona.