People
Avaiblable PhDs and Postdoc opportunities
I am looking for outstanding prospective and highly motivated PhD students and postdoctoral staff. Prospective candidates with a background in Machine Learning, Control Science, Mathematics, Bioinformatics, Healthcare, or other related fields are encouraged to apply. If you are interested in working on machine learning for healthcare at the Department of Computer Science of The University of Manchester, please check the following funding opportunities:
Postdoc opportunity:
PhD opportunity:
Self-funded PhD and Part-time PhD opportunities are always available and welcome
One PhD position funded by EPSRC Doctoral Training Partnership (DTP)
One PhD position funded by UKRI AI CDT in Decision Making for Complex Systems
One PhD position funded by the DKO fellowship
One PhD position funded by the A*Star PhD Programme
The University of Manchester-China Scholarship Council (UoM-CSC) Joint Scholarship (Chinese Students only, check a backup link here)
ELLIS Scholarship (European Laboratory for Learning and Intelligent Systems)
A list of other funding opportunities
English Requirements should be satisfied if you want to apply for PhD positions. Please don’t hesitate to contact me if you have any questions about the application.
Current Members
Postdoc Research Associates:
Dr. Shengzhong Mao, Efficient 3D Gaussian Splatting for Real-time Rendering
Dr. Youcef Benkhedda, AI-Driven Employee Well-being Analysis and Reporting System
PhD Students:
Jinyuan Wang, Co-supervised with Dr. Mauricio A. Álvarez (upcoming)
Rui Zhou, Co-supervised with Prof.Sophia Ananiadou and Dr.Syed Murtuza Baker
Ahmed Rafe Tariq, Co-supervised with Dr. Mauricio A. Álvarez
Haiping Liu, Co-supervised with Dr. Mauricio A. Álvarez, Prof. Alejandro F Frangi and Dr. Andrew Gilmore
Hana Bossong, Co-supervised with Prof. Goran Nenadic and Prof. Petra Hamerlik
Alumni:
PhD Students (UoM):
Xue Liu, Visiting from Xi'an Jiaotong University, Co-supervised with Prof. Wei Cheng and Dr. Wei Pan
Master Students (UoM):
Wei-Tung Lu, Impact of Signal-to-Noise Ratio and Time Trace Length on the Reliability of Gene Transcription Kinetics Data
Haozhe Liu, Machine Learning To Identify Cancer Biomarkers From Spatial Transcriptomics Data
Master Students (TUDelft):
Ibrahim Chahine, Thesis: Bayesian Deep Learning for Dynamic System Identification
Ramkumar Sakthivel, Thesis: Towards Real-Time Human Pose Estimation for Mobile Device
Mingxi Li, Thesis: Efficient Neural Architecture Search for Language Modelling
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
Minghao Yang, Thesis: Efficient Neural Network Architecture Search