Dr. Hongpeng Zhou

Dame Kathleen Ollerenshaw Fellow (Assistant Professor/Lecturer) at the Computer Science Department of the University of Manchester in the United Kingdom. My fellowship project is on "AI for healthcare applications - Interpretable machine learning to uncover biological mechanisms". The main diseases to be studied include cancer, fetal growth limitation and heart diseases. My research interests are machine learning, deep learning, Bayesian learning, interpretable learning and bioinformatics. 

There are always positions available for talented and self-motivated Postdocs, PhDs, and visiting PhDs (check Here for more details). If you are interested, please fill in the PhD application inquiry form. You are also welcome to contact me directly. 

Recent News: 

NOTE: Several PhD scholarships are open for nomination for 2024/2025 (including CSC-UoM, Manchester-Melbourne Call for Jointly PhD Awarded, A*Star/PDS/DDS/PGRTA scholarships). Don't hesitate to get in touch with me if you are interested in pursuing a PhD at the University of Manchester. 

[Jan-25]: Our collaborative paper, 'ELF autoencoder for unsupervised exploration of flat-band materials using electronic band structure fingerprints,' has been accepted by Communications Physics. Special thanks to the lead authors, Dr. Qian Yang and Prof. Artem Mishchenko, for this great collaboration!

[Jan-25]: A paper authored by my visiting PhD student, Xue Liu, "Hierarchical Physics-Informed Neural Network for Rotor System Health Assessment", has been accepted by the IEEE Transactions on Automation Science and Engineering. Well done, Xue!

[Dec-24]: Receive Manchester-Melbourne Call for Jointly PhD Awarded, looking forward to the exciting future collaboration with Dr Magda Montgomery from The University of Melbourne

[Dec-24]: Receive grant RAEng Google Deepmind placements funded by The Royal Academy of Engineering (PI: Dr. Omar Rivasplata)

[Dec-24]: Receive EPSRC Core Equipment Award funded by EPSCR as a Co-I (PI: Richard Curry).

[Dec-24]: Receive grant Developing targeted strategies for precision breast cancer prevention funded by Cancer Research UK as a Co-I (PI: Dr Andrew Gilmore).

[Dec-24]: Our lab's first group seminar took place on December 3rd, featuring a high-quality talk by Dr. Shengzhong Mao titled "Learning Visibility Attention Graph Representation for Time Series Forecasting". 

[Nov-24]: Three fully-funded (worldwide) Bicentenary PhD projects are accepted: 1)  Multimodal AI methods for spatial omics data to characterise tumour microenvironments; 2) Understanding ethnic differences in breast biology to improve prevention and early detection of cancer in Black women; 3) Investigate signalling dysregulation in diabetic heart and provide insight into precision diagnosis and treatment of HFpEF.

[Nov-24]: Welcome to apply for our fully-funded PhD project - UKRI AI Center for Doctoral Training (CDT) PhD funding - "Employing Spiking Neural Networks to Unravel Spatio-temporal Dynamics of Gene Regulatory Networks using Spatial Transcriptomics Data

[Nov-24]: Our paper "Machine Learning Prediction of GAT201-Regulated Gene Expression in Cryptococcus Neoformans Using Minimal Motifs" has been accepted at the 3rd IEEE Industrial Electronics Society Annual Online Conference (ONCON24). Great collaboration with Mr Yiwen Xing from the University of Edinburgh. 

[Oct-24]: Received two research grants funded by Innovate UK

[Sep-24]: A paper authored by my visiting PhD student, Xue Liu, has been accepted by the 20th IFAC Symposium on System Identification SYSID 2024. Well done, Xue!

[Sep-24]: Received funding support from ID Manchester

[Sep-24]: A paper authored by my PhD student, Haiping Liu, has been accepted by the International Conference on Artificial Intelligence in Healthcare. Well done, Haiping!

[Aug-24]: Our paper 'RobotSDF: Implicit Morphology Modeling for the Robotic Arm,' co-authored with Dr. Yusheng Yang, has been accepted by Sensors.

[Apr-24]:  Received the Reviewer Award from the Journal of Computing Open

[Mar-24]: A PhD studentship Funded by EPSRC Doctoral Training Partnership (DTP)

[Feb-24]: A PhD studentship Funded by A*STAR PhD Programme

[Feb-24]: Funded by School of Engineering Summer Internships Programme

[Nov-23]: Manchester Cancer Research Centre Event Support Award

More about me:

2021.12 - 2023.04:

I was a postdoc research associate at Prof.Magnus Rattray's group - Division of Informatics, Imaging and Data Sciences at the Faculty of Biology, Medicine and Health of the University of Manchester. My research project was to develop machine learning algorithms to reveal biological mechanisms behind single-cell transcriptomics data. 

2018.09 - 2022.05:

Before the postdoc, I received my PhD degree at the Department of Cognitive Robotics of the Delft University of Technology in the Netherlands, supervised by Prof.Martijn Wisse and Dr.Wei Pan. My PhD work was developing Bayesian deep learning algorithms for neural network compression, neural architecture search, interpretable deep learning and system identification. Please check my PhD thesis "Bayesian deep learning for system identification".

2011.08 - 2017.07:

I received my Bachelor's and Master's degrees at the Department of Control Science and Engineering of Harbin Institute of Technology in China, supervised by Prof.Shen Yin.