Professor Haiping Lu

School of Computer Science

Professor of Machine Learning

Director of the UK Open Multimodal AI Network

Head of AI Research Engineering

Member of the Machine Learning research group

Haiping Lu
Profile picture of Haiping Lu
h.lu@sheffield.ac.uk
Regent Court (DCS)

Full contact details

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

Professor Lu is the Head of AI Research Engineering at the Centre for Machine Intelligence and Turing Academic Lead at the University of Sheffield. He is also the Director of the UK Open Multimodal AI Network (UKOMAIN), funded by the EPSRC and building on the Meta-Learning for Multimodal Data interest group at the Alan Turing Institute. He received his BEng and MEng from Nanyang Technological University, Singapore, in 2001 and 2004 respectively, and his PhD in Electrical and Computer Engineering from the University of Toronto in 2008. His awards include a Turing Network Development Award, an Amazon Research Award, and joint Wellcome Trust Innovator and NIHR AI in Health and Care awards.

For more details, including requirements for PhD enquiries, and to explore selected projects, team profiles and research outputs, please visit https://haipinglu.github.io/

Research interests

Professor Lu’s research focuses on advancing translational multimodal AI technologies to address challenges in healthcare and scientific discovery. His work in multimodal AI explores foundational models, generative AI, domain adaptation and transfer learning. In healthcare, his research includes brain and cardiac imaging, with a growing focus on cancer diagnosis and treatment. In scientific discovery, he investigates applications in protein engineering and drug and materials discovery. Professor Lu also leads the development of the open-source software library PyKale, part of the PyTorch ecosystem, which facilitates accessible machine learning for interdisciplinary research.

Publications

Books

Journal articles

Book chapters

Conference proceedings

Preprints

Grants
  • CD3: Cancer Data Driven Detection, Cancer Research UK, 04/2025 - 03/2030, £446,926, as PI
  • UKOMAIN: UK Open Multimodal AI Network, RCUK, 01/2025 - 12/2027, £2,005,679, as PI
  • A Novel Artificial Intelligence Powered Neuroimaging Biomarker for Chronic Pain, EPRSC, 10/2023 - 03/2025, £445,540, as Co-PI
  • 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

Professor Lu serves as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cognitive and Developmental Systems. 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.

Links

UK Open Multimodal AI Network  Sheffield AI Research Engineering