معرفی
Xiang Chang is a Lecturer in the Engineering Unit at Aberystwyth University, within the Faculty of Business and Physical Sciences. His research focuses on robotics, control systems, and neural networks. He holds a Doctor of Philosophy (PhD) from Aberystwyth University, completing his thesis titled 'Robotic Imitation Learning from Videos: Boosting Autonomy and Transferability' in 2024.
Research Interests:
- Robotics and Aerial Manipulation
- Control Systems and Nonlinear Dynamics
- Neural Networks and Deep Learning
- Image Processing and Computer Vision
- Reinforcement Learning and Optimization
His recent work emphasizes advancements in unmanned aerial systems, neural network compression, and improving training efficiency in diffusion models. Key contributions include studies on convergence time control for aerial manipulators and techniques for long-tailed recognition in deep learning.
Grants & Supervision: While no grants are explicitly listed, his thesis supervision indicates involvement in guiding research in robotic imitation learning and autonomous systems. He collaborates internationally, with research outputs often involving interdisciplinary teams.
Labs/Teams: Active in the Engineering Unit's robotics and control systems research groups at Aberystwyth University.
