PostDoc
Engineer
PhD Candidates
Master Students
- Rick Staa
- Lars Lipman
- Mohamed Madi
- Niels Hakvoort
- Susan Portters
- Jingyue Liu
Past PostDoc
Past PhD Students
- Minghao Han, (with Prof. Lixian Zhang), now at ETH Zürich, Switzerland.
- Chengwei Wu, (with Prof. Ligang Wu), now Assistant Professor at Harbin Institute of Techonology, China.
Past Master Students
- Coen van Gruijthuijsen, Thesis: Automated Machine Learning in Medical Image Segmentation
- Zixuan Wan, Thesis: Bayesian Deep Learning for Distilling Physical Laws from Videos
- Prakash Radhakrishnan, Thesis: Robust map building for robot navigation in dynamic environments
- Hao Li, Thesis: Reinforcement Learning Compensated Filter for Position and Orientation Estimation
- Ibrahim Chahine, Thesis: Bayesian Deep Learning for Dynamic System Identification
- Hao Ni, Thesis: Deep Learning for 4D Longitudinal Segmentation of MRI Brain Tissues and Glioma
- Ramkumar Sakthivel, Thesis: Towards Real-Time Human Pose Estimation for Mobile Device
- Robert Cornet, Thesis: Safe Reinforcement Learning for Automated Vehicles
- Arnoud Jonker, Thesis: Accelerating Neural Networks Embedded on a Microcomputer Trained on KITTI
- Tim Koning, Thesis: Low level quadcopter control using Reinforcement Learning: Developing a self-learning drone
- Julian von der Goltz, Thesis with Cum Laude: Classification of Damages on Aircraft Inspection Images Using Convolutional Neural Networks
- Akshay Bhoraskar, Thesis: Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques
- Mingxi Li (EECS, with Frans Oliehoek), Thesis: Efficient Neural Architecture Search for Language Modelling
- Yizhou Wang (EECS, with Zaid Al-Ars), Thesis: Binary Neural Networks for Object Detection
- Yuan Tian, Thesis: Model Free Reinforcement Learning with Stability Guarantee
- Minghao Yang, Thesis: Efficient Neural Network Architecture Search
