Professor Haiping Lu

Department of Computer Science

Professor of Machine Learning

AI Strategy Lead

Member of the Machine Learning research group

Dr Haiping Lu profile photo
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+44 114 222 1853

Full contact details

Professor Haiping Lu
Department of Computer Science
Regent Court (DCS)
211 Portobello
S1 4DP

Professor Lu joined the University of Sheffield as a Lecturer in November 2016. He is the Turing Network Development Award Lead and Insigneo Research Director for Healthcare Data / AI at the University of Sheffield. He is also the lead organiser of the Alan Turing Institute’s interest group on meta-learning for multimodal data and the Machine Learning Theme Lead for Sheffield in the N8 Centre of Excellence in Computationally Intensive Research. He received his BEng and MEng from Nanyang Technological University, Singapore, in 2001 and 2004, and his PhD degree in electrical and computer engineering from the University of Toronto in 2008.

He was a recipient of a Turing Network Development Award, an Amazon Research Award, an AAAI Outstanding PC Member Award, a Hong Kong Research Grants Council Early Career Award, and an IEEE CIS Outstanding PhD Dissertation Award. He was also a joint-recipient of a Wellcome Trust Innovator Award and an NIHR AI in Health and Care Award.

Research interests

His research focuses on developing translational AI technologies for better analysing multimodal data in healthcare and beyond, particularly multidimensional data and heterogeneous graphs in bioinformatics and medical imaging. He leads the development of the PyKale library to provide more accessible machine learning from multiple sources for interdisciplinary research, officially part of the PyTorch ecosystem.



Journal articles


Conference proceedings papers



Research Grants

  • Turing Network Fund, The Alan Turing Institute, 02/2023 - 07/2023, £10,000, as PI

  • Developing a machine learning tool to improve diagnostic and treatment response assessment on cardiac MRI data, Wellcome Trust, 10/2019 - 09/2023, £639,783, as Co-PI

  • Learning Representations of Higher-Order Structures for Networks via Tensor Embedding, Amazon, 04/2019 - 03/2020, £46,923, as PI

  • Learning Sparse Features from 4D fMRI Data for Brain Disease Diagnosis, EPSRC, 01/2018 - 07/2019, £100,730, as PI

  • Dimensionality Reduction for Learning Correlations between Big Multidimensional Data, HK RGC ECS 22200014, HK$831,737, as PI.

  • Learning Independent Components with Tensor-based Modelling for Big fMRI Data, HK RGC GRF 12200915, HK$695,861, as PI.

  • Relaxation Methods in Principal and Discriminative Component Analysis for Tensor Data, HK RGC GRF 12248616, HK$695,861, as PI.

Professional activities and memberships

He serves as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cognitive and Developmental Systems, and World Scientific Annual Review of Artificial Intelligence.

He leads the development of a course on An Introduction to Transparent Machine Learning, part of the Alan Turing Institute’s online learning courses in responsible AI.