People

PostDoc

Engineer

• Rick Staa

PhD Candidates

• Yujie Tang
• Desong Du, (With Prof. Naiming Qi)

Master Students

• Rick Staa
• Lars Lipman
• Mohamed Madi
• Niels Hakvoort
• Susan Portters
• Veronika Bojtár
• Shaohang Han
• Roy Vorster
• Serkan Şimşek
• Yuxiang Liu

Past PostDoc

• Dr Zhipeng Zhou, now Researcher at Alibaba DAMO Academy, China
• Prof Chengchao Bai, now Associate Professor at Harbin Institute of Technology, China
• Dr Qingrui Zhang, now Assistant Professor at Sun Yat-sen University, China

Past PhD Students

• Hongpeng Zhou, now PostDoc at Univesrity of Manchester, UK.
• Minghao Han, (with Prof. Lixian Zhang), now at ETH Zürich, Switzerland.
• Prof 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