Dr Shanfeng Hu

Assistant Professor

Department: Computer and Information Sciences

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).

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Key Publications

Please visit the Pure Research Information Portal for further information
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. 10 Sep 2024, In: Journal of Manufacturing Technology Management
Explainable Fault Diagnosis of Control Systems Using Large Language Models, Ojuolape, A., Hu, S. 21 Aug 2024, 2024 IEEE Conference on Control Technology and Applications (CCTA), Piscataway, US, IEEE
Integrating spare part inventory management and predictive maintenance as a digital supply chain solution, Shokri, A., Toliyat, S., Hu, S., Skoumpopoulou, D. 24 Oct 2024, In: Journal of Modelling in Management
MDC-Net: Multimodal Detection And Captioning Network For Steel Surface Defects, Chazhoor, A., Hu, S., Gao, B., Woo, W. 8 May 2024, Robotics, Computer Vision and Intelligent Systems, Cham, Switzerland, Springer
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
TOPOMA: Time-Series Orthogonal Projection Operator with Moving Average for Interpretable and Training-Free Anomaly Detection, Hu, S., Huang, Y. 25 Apr 2024, The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024, Springer
Elderly Standing Imbalance Detection Using Noise-Resilient Robust Mean Estimator and Deep Learning, Raj, D., Hu, S., Aslam, N., Chen, X., Rueangsirarak, W., Uttama, S., Nauman, F. 8 Dec 2023, 2023 15th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2023, Piscataway, US, IEEE
Heart Rate Anomaly Detection Using Contractive Autoencoder for Smartwatch-Based Health Monitoring, Sivan, K., Hu, S., Aslam, N., Chen, X., Sureephong, P., Wongsila, S., Ahmed, S. 8 Dec 2023, 2023 15th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2023, Piscataway, US, IEEE
TED-Face: Texture-Enhanced Deep Face Reconstruction in the Wild, Huang, Y., Fang, L., Hu, S. 19 Jul 2023, In: Sensors
Structured Spatial Reasoning for Human Pose Estimation, Huang, Y., Hu, S., Zhang, Z. 25 Nov 2022, The 33rd British Machine Vision Conference Proceedings, Durham, The British Machine Vision Association and Society for Pattern Recognition

PGR Supervision

Daniel Organisciak Neural Attention Mechanisms for Robust and Interpretable Feature Representation Learning Start Date: 17/08/2020 End Date: 30/09/2022
Adewumi Ojuolape Proposed project title: Causal Discovery Using Large Language Models and Data-Driven Graph Search Start Date: 01/10/2023

Qualifications

Computer Science PhD March 18 2020
Fellowship of Higher Education Academy, UK FHEA 2022

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