PhD Students
Past PhD students:
First supervised PhD students (in chronological order):
- Dr Mohammad Narimani, graduated in 2011. Thesis title: Stability Analysis of Fuzzy Model-Based Control Systems with Knowledge on Membership Functions' Shapes
- Dr Lamia Benmesbah, graudated in 2012. Thesis title: Optimisation for Signal Processing and Communications
- Dr Hugo Novais Carvalho Araujo, graduated in 2014. Thesis title: Adaptive Control Techniques for Patient Tailor-Made Anaesthesia
- Dr Udeme Ekong, graduated in 2016. Thesis title: Computational Intelligence Methods to deal with Classification problems
- Dr Chuang Liu, graudated in 2016. Thesis title: Relaxed Stability Analysis for Fuzzy-Model-Based Observer-Control Systems (Awarded Elsevier Outstanding PhD Thesis Prize)
- Dr Xiao Bo, graduated in 2018. Thesis title: Stability and Performance Analysis of Polynomial Fuzzy-Model-Based Control Systems and Interval Type-2 Fuzzy Logic Systems
- Dr Yanbin Zhao, graduated in 2018. Thesis title: Stability Relaxed Stability Analysis of Fuzzy-Model-Based Control Systems
- Dr Xiaozhen Yang, graduated in 2018. Thesis title: New Stability Analysis Results on Switched Systems and Fuzzy Systems
- Dr Yuandi Li, guaduated in 2019. Thesis title: Stability Analysis on Discrete-Time Takagi-Sugeno Fuzzy System with Sensor Saturation Via State Observer Feedback H-Infinity Control Method
- Dr Yan Yu, graduated in 2019. Thesis title: Stability Analysis on Discrete-Time Takagi-Sugeno Fuzzy System with Sensor Saturation Via State Observer Feedback H-Infinity Control Method
- Dr Ahmad Ataka Awwalur Rizqi, graduated in 2019. Thesis title: Magnetic field-inspired Navigation for Mobile Robots and Manipulators
- Dr Ge Song, graduated 2019. Thesis title: Stability Analysis of Interval Type-2 Polynomial Fuzzy-Model-Based Control Systems
Second supervised PhD students:
To be updated
Current PhD Students:
- Hongying Zhou (Fuzzy model based control system)
- Yujia Xu (Deep learning and generative networks)
- Chengbin Xuan (Reinforcement learning and control)
- Junkai Liao (Deep learning and bio-signal classification)
- Ming Chen (Reinforcement learning and control)
- Qian Shi (Reinforcement learning and control)
- Guangyu Jia (Deep learning and bio-signal classification)
- Yi Zheng (Fuzzy model based control system)