Professor Haiping Lu

About

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 profil

Selected publications

• Lu H, Plataniotis KN & Venetsanopoulos A () Multilinear Subspace Learning. Chapman and Hall/CRC.
• Liu X, Anjah C, Jolly BE, Markanday JFS, Berry J, Wang H, Morley NA, Oliver RDJ, Ramadan AJ, Ce Zhang D , Christofidou KA et al (2026) Generative and multimodal AI for materials prediction and design: progress, challenges, and perspectives. Journal of Physics: Materials, 9(3), 031003-031003. View this article in WRRO
• Tripathi PC, Tabakhi S, Suvon MNI, Schöb L, Alabed S, Swift AJ, Zhou S & Lu H (2026) Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. IEEE Transactions on Medical Imaging, 1-1.
• Bai P, Liu X, Fan W, Jiang T, Cheung WK & Lu H (2026) Geometry-Aware Line Graph Transformer Pretraining for Molecular Property Prediction. IEEE Transactions on Neural Networks and Learning Systems, 1-15.
• Zhou S, Luo J, Jiang Y, Wang H, Lu H & Gong G (2025) Group-specific discriminant analysis enhances detection of sex differences in brain functional network lateralization. Gigascience, 14. View this article in WRRO
• Liu X, Rastegari S, Huang Y, Cheong SC, Liu W, Zhao W, Tian Q, Wang H, Guo Y, Zhou S , Tabakhi S et al (2025) Interpretable multimodal learning for tumor protein-metal binding: Progress, challenges, and perspectives. Methods, 242, 97-112.
• Bai P, Miljković F, Liu X, De Maria L, Croasdale-Wood R, Rackham O & Lu H (2025) Mask-prior-guided denoising diffusion improves inverse protein folding. Nature Machine Intelligence, 7(6), 876-888. View this article in WRRO
• Kariotis S, Tan PF, Lu H, Rhodes CJ, Wilkins MR, Lawrie A & Wang D (2024) Omada: robust clustering of transcriptomes through multiple testing. GigaScience, 13(2024). View this article in WRRO
• Allen L, Lu H & Cordiner J (2024) Knowledge-enhanced spatiotemporal analysis for anomaly detection in process manufacturing. Computers in Industry, 161. View this article in WRRO
• Tripathi P, Suvon M, Schobs L, Zhou S, Alabed S, Swift A & Lu H (2023) Tensor-based multimodal learning for prediction of pulmonary arterial wedge pressure from cardiac MRI. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, October 8-12, 2023, Proceedings, 14226. View this article in WRRO