Research output per year
Research output per year
Personal profile
Biography
Dr Shanfeng Hu is an Assistant Professor in the Department of Computer and Information Sciences at Northumbria University, Newcastle-upon-Tyne, UK. He earned his PhD from the same department in 2020 and joined the faculty as a Lecturer soon after. During his PhD from 2018 to 2020, Dr Hu gained practical industry experience as a Senior Data Scientist in the financial sector. His research interests include machine learning, causal reasoning, and mechanism design, with funded projects in advanced manufacturing (Innovate UK KTP), supply chain (Digital Catapult, Innovate UK ISCF), and digital health (EU Erasmus+, EU MSCA).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, PhD, Metric Representations for Shape Analysis and Synthesis, Computer and Information Sciences Department
Award Date: 18 Mar 2020
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Challenges of achieving digital transformation in manufacturing firms: the case of predictive maintenance and spare part inventory management
Skoumpopoulou, D., Toliyat, S., Ojra, A., Shokri, A. & Hu, S., 2 Jan 2025, In: Journal of Manufacturing Technology Management. 36, 1, p. 159-178 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)11 Downloads (Pure) -
Integrating spare part inventory management and predictive maintenance as a digital supply chain solution
Shokri, A., Toliyat, S. M. H., Hu, S. & Skoumpopoulou, D., 3 Mar 2025, In: Journal of Modelling in Management. 20, 3, p. 1003-1029 27 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Downloads (Pure) -
Explainable Fault Diagnosis of Control Systems Using Large Language Models
Ojuolape, A. E. & Hu, S., 21 Aug 2024, 2024 IEEE Conference on Control Technology and Applications (CCTA). Piscataway, US: IEEE, p. 491-498 8 p. (IEEE Conference on Control Technology and Applications (CCTA)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile1 Citation (Scopus)75 Downloads (Pure) -
MDC-Net: Multimodal Detection And Captioning Network For Steel Surface Defects
Chazhoor, A. A. P., Hu, S., Gao, B. & Woo, W. L., 8 May 2024, Robotics, Computer Vision and Intelligent Systems: 4th International Conference, ROBOVIS 2024, Rome, Italy, February 25–27, 2024, Proceedings. Filipe, J. & Röning, J. (eds.). 1 ed. Cham, Switzerland: Springer, p. 316-333 18 p. (Communications in Computer and Information Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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MIMIC-Pose: Implicit Membership Discrimination of Body Joints for Human Pose Estimation
Huang, Y. & Hu, S., 27 May 2024, 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). Piscataway, NJ, US: IEEE, p. 1-5 5 p. (International Conference on Automatic Face and Gesture Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile4 Downloads (Pure)
Projects
- 1 Finished
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KTP 3-D printed Models
Hackney, P. (PI), Yang, L. (CoI), Hu, S. (CoI), Scott-Harden, S. (CoI) & Blacklock, M. (PI)
1/12/21 → 31/03/24
Project: Research