Research Students (Selected from 2023 onwards)
- Shuaiyi Sun: PhD in “Federated Learning for Intelligent and Secure Vehicular Networks”
- Zhen Lu: PhD in “Neuro-Symbolic Approaches for Reliable AIoT Systems”
- Wenyu Dong: PhD in “Ensuring Integrity and Privacy in UAV Swarm Networks”
- Imran Afridi: PhD in “Improve Testability and verifiability of deep learning based autonomous system using NeuroSymbolic”
- Siwei Luo: PhD in “Robustness testing of autonomous systems using large-language models”
- Linfeng Liang: PhD in “Deep Reinforcement Learning-enabled Online Testing for Autonomous Systems”
- Jiaohong Yao (Co-supervised with Richard Han): PhD in “Robust and Interpretable drone autolanding systems”
- Yuzhe Tian: PhD in “Efficient Machine Learning for resource-constrained Learning-enabled Autonomous System”
- Jiwei Guan: PhD in “Adversarial Robustness for Multi-modality machine learning models”
- Yupeng Jiang: PhD in “Deep learning enabled fuzzing testing for complex software systems”
- Chuxuan Tong (Graduated in 2025 and co-supervised with Xiang Yang, Longxiang Gao in Deakin): PhD in “Speech watermarking Using Deep Learning Techniques”
- Qiong Li (Graduated in 2024) :PhD in ”Federated Learning for Intelligent and Secure Vehicular Networks“
- Yao Deng (Graduated in 2023 with Vice Chancellor’s Commendation for Thesis Excellence Award): PhD in “Robust Autonomous Driving Based on Lidar and Camera”
- Jianchao Lu (Graduated in 2023 with Vice Chancellor’s Commendation for Thesis Excellence Award ): PhD in “Robust Deep Learning for Human Behavior Detection” ......