Past Members

Past PostDoc

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

Past PhD Students

• Dr Hongpeng Zhou, now Asisstant Professor at Univesrity of Manchester, UK.

Past Visiting students

• Prof Chengwei Wu, (with Prof. Ligang Wu), now Assistant Professor at Harbin Institute of Technology, China.
• Desong Du
• Minghao Han, (with Prof. Lixian Zhang), now at Research Fellow at Nanyang Technological University, Singapore.

Past Master Students

• Rick Staa
• Veronika Bojtár
• Shaohang Han
• Roy Vorster

• Yuxiang Liu

• Antonie Grauss, Thesis with Cum Laude: Heuristics-based causal discovery: Discovering causal relations through heuristics-based action planning and dynamical search space adjustment
• Mohamed Madi, Thesis: The Effects of Entropy Regularization and Lyapunov Stability Constraint on Multi-Agent Reinforcement Learning for Autonomous Driving
• Lars Lipman, Thesis: Grasp-RCNN for a two-fingered pinch-gripper: A multiple RCNN approach
• 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