Shaoming Zheng, PhD Student (2023 - )
Shaoming Zheng obtained his M.S.E. in Robotics from General Robotics, Automation, and Sensing Lab (GRASP) and M.S.E. in Computer Graphics and Game Technology (CGGT) from Department of Computer and Information Science, University of Pennsylvania in December 2022, and B.S. in Computer Science from School of Computing and Information Science, University of Pittsburgh in April 2020. His main research interests include 2D and 3D image analysis in medical image registration and super-resolution as well as related general machine learning tasks in domain adaptation and interpretability.
Yinsong Wang, PhD Student (2023 - )
Yinsong Wang received his MSc degree in Signal Processing and Communications from the University of Edinburgh in 2022. Before that, he received his B.S. in Telecommunications from a joint program between Beijing University of Posts and Telecommunications and Queen Mary University of London in 2021. His main research interests are using deep learning approaches on medical image registration.
Siyi Du, PhD Student (2023 - )
Siyi Du received her M.A.Sc. degree in Electrical and Computer Engineering from the University of British Columbia at 2023. She obained her B.E. degree in Automation Science (Pattern Recognition direction) from Beihang University at 2021. Her main research interest is using novel deep learning methodologies to improve biomedical imaging.
Anurag Malyala, MRes Student (2023 - )
Anurag Malyala received his bachelor’s degree in Computer Science from Delhi Technological University in 2019. He then worked as an Applied AI Engineer for three years, focusing on fine-grained image classification problems, document parsing, and understanding. His research is currently centred around applying Deep Generative Models for accelerated MRI reconstruction. Anurag is keenly interested in Formula One, 3D printing, and cooking. He is always open to discussing and exploring new AI and computer science research areas.
Zhenlin Zhang, MRes Student (2023 - )
Zhenlin Zhang obtained his bachelor’s degree from University of Electronic Science and Technology of China (UESTC). He is working on generative models for MRI reconstruction. He is always glad to hear from you if you have any new ideas or questions about his work. Apart from work, Zhenlin also loves football, economics and surfing the internet.
Co-supervised PhD Students
Emily Yik Kwan Chan, PhD Student (2022 - )
Emily is a PhD student whose current research is focusing on traumatic brain injury (TBI) prediction in head impact caused by rapid mechanical loading in sports, which lies in the intersection of kinematics, neuroscience and engineering. She is investigating the biomechanic mechanism of the head impacts in sports, identifying the risk factor of neurodegeneration, and surrogate modelling of finite element methods by machine learning methods, with the aim of real-time TBI prediction for sporting collisions. Emily is supervised by Dr Mazdak Ghajari at Human Experience, Analysis and Design (HEAD) Lab at Dyson School of Design Engineering, and co-supervised by Dr Qin Chen at Electrical and Electronic Engineering, Imperial College. Her PhD study is funded by Sports and Wellbeing Analytics (SWA), a progressive player in the field of wearable technology.
Yuyang Xue, PhD Student (2022 - )
Yuyang Xue is currently a PhD student at the University of Edinburgh. He is also co-supervised by Prof. Sotirios Tsaftaris. His main research interests are Generative Models and Medical Imaging in Deep Learning. He received his MSc degree in Computer Science from the University of Southampton and Bachelor’s degree in computer science from Fuzhou University, China.
Hollan Haule, PhD Student (2021 - )
Hollan Haule is a PhD student at The University of Edinburgh co-supervised by Dr Javier Escudero Rodriguez, Dr Chen Qin and Dr Milly Lo. He received a BSc in Computer Engineering and Information Technology, October 2011, at the University of Dar es Salaam, Tanzania and an MSc degree in Artificial Intelligence, November 2017, at the University of Edinburgh, UK. His research focus is on biomedical time-series data analysis using machine learning.
MEng and MSc Students
- Michail Psyllakis, MEng student in Electrical and Electronic Engineering
- Adam Rehman, MEng student in Electronic and Information Engineering
- Zikun Xu, MSc student in Applied Machine Learning
- Xuhang Chen, MSc student in Applied Machine Learning
- Kaijie Xu, MSc student in Applied Machine Learning
- Jingshuai Liu, PhD, University of Edinburgh, 2023
- Yichuan Ma, MSc in Signal Processing and Communications, 2022
- Yufeng Zhang, BEng in Electronics and Electrical Engineering, 2022
- Huanchang Liu, MSc in Signal Processing and Communications, 2021
- Fangzhou Wu, MSc in Signal Processing and Communications, 2021
- Jiayue Dai, MSc in Signal Processing and Communications, 2021