Wageningen University & Research
Teaching
- Course Coordinator: Deep Learning
- Lecturer: Deep Learning, , Machine learning and 3D CIRCULAR
PhD Supervision
- Eva van Tegelen — Scientific machine learning for resilience and tipping points in complex systems
- Thijs van Weezel — Foundation models for agricultural sciences
MSc Supervision
- Nefeli Pavlidou — Improving Plant Protein Gelation Modeling via Foundation Models
- Jonas Oostra — Foundation Models for Reconstructing Missing Tropospheric NO₂ Satellite Observations
- Michael Schelling — A Physics-Informed Hybrid Model for Greenhouse Tomato Growth Prediction
- Dhaksesh Raaj Thenmozhi Raj Mohan — Can a Hybrid GreenLight Model Predict the Yield of Crops Other Than Highwire Tomato?
- Anwar Abdelhafez Ali Islam — Physiologically-Informed Foundation Models for Greenhouse Resource Optimization
Course Development
- Data Science for Global Challenges — student project supervision
- Introduction to AI for 3D Circularity — teaching material development
University Teaching Qualification
UTQ
- Teach
- Supervise
- Design
Delft University of Technology
Teaching
- Prepared tutorials and examinations for A1, MUDE, Dynamica, and Data Science and AI for Engineers
- Examiner for Data Science and AI for Engineers
Project Supervision
- Developed and supervised the MSc project Physics-Informed Neural Networks for Simulating the Dynamics of Beam Systems for nine students
- Co-supervised the MSc thesis Neural Networks Infused with Physics for Beam Systems