Projects per year
Personal profile
Personal profile
Dr. Shuihua Wang received her Ph.D. degree from Nanjing University in 2017. She worked as Assistant Professor at Nanjing Normal University (2013-2018) and served as a Research Associate at Loughborough University (2018-2019), at the University of Leicester (2019-2021) and Lecturer at the University of Leicester (2021-2023). Now, she is working as an Associate Professor at Xi'an Jiaotong-Liverpool University. Her research interests focus on Machine learning, Deep learning, Image processing, Information fusion, Data analysis, MRI sensors, CT sensors. She serves as a professional reviewer for many well-reputed journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, NeuroComputing, Pattern Recognition, Scientific Reports, etc. She serves as Guest Editor of Information Processing and Management, IEEE Journal of Biomedical and Health Informatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Measurement, Scientific Reports. She serves as Associate Editor (AE) of Information fusion, Neural Networks, and senior AE of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
Research interests
Artificial Intelligence
Information fusion
Generative AI
Image processing
Multi-view data analysis
Large scale data analysis
Biomedical Data analysis
Experience
8/2023- Associate Professor, Department of Bioscience and Bioinformatics, School of Science, Xi'an Jiaotong - Liverpool University.
11/2021-7/2023, Lecturer, School of Computing and Mathematical Sciences, University of Leicester.
5/2019-10/2021, Research Associate, School of Mathematics and Actuarial Science, University of Leicester.
7/2018-4/2019, Research Associate, School of Architecture, Building and Civil Engineering, Loughborough University.
5/2018-7/2018, Part-time Research Assistant, School of Mathematics and Actuarial Science, University of Leicester.
6/2013-5/2018, Assistant Professor, School of Computer Science and Technology, Nanjing Normal University.
Teaching
BIO216 Aritificial Intelligence for Life Science
SCI002 Scientific Priniciples and Methods
XPU001 Essentials of AI
SCI003 Scientific Communication and Integrity
SCI404 Fundamentals of AI in Science
SCI402 Machine Learning for Science
SCI101 Introducation to Artificial Intelligence for Science
Awards and honours
National Young Talent （国家级青年人才）
Best abstract award: Implementing the use of artificial intelligence (AI) to distinguish between normal and abnormal development of the fovea, BIPOSA 2019, Edinburgh, United Kingdom.
2019, 2022-2025 Highly cited researcher (Clarivate)
2020-2025 Chinese Highly Cited Researcher by Elsevier
2022 Annual Best Paper Award by Journal of Information Fusion.
2023, 2024 Stanford Top 2% Scientist
Education/Academic qualification
9/2013-9/2017, Ph.D., Electronic Engineering, Nanjing University, China.
1/2011-6/2012, M.S., Electronic Engineering, The City College of New York, USA.
9/2004-7/2008, B.S., Information Science and Technology, Southeast University, China.
Research areas
- Pattern recognition
- Machine Learning
- Artificial Intelligence (AI) and Image Processing
- Biomedical signal/image processing
Person Types
- Staff
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):
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SDG 3 Good Health and Well-being -
SDG 8 Decent Work and Economic Growth -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions
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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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Multimodal Biomedical Data: Harnessing the Unlabeled Data to Enhance the Biomedical Interpretable Learning
Wang, S. (PI), Tang, M. (Team member), Dai, W. (Team member), Moraros, J. (Team member), Meng, J. (Team member), Zhang, Y. (Team member) & Li, C. (Team member)
1/09/24 → 31/08/27
Project: Governmental Research Project
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Tracking protein traffic in living bacterial cells based on machine learning methods
Wang, S. (PI)
1/07/24 → 30/06/27
Project: Internal Research Project
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Multimodal Biomedical Data: Harnessing the Unlabeled Data to Enhance the Biomedical Interpretable Learning
Wang, S. (PI)
Project: Governmental Research Project
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Research and application of computer-aided quantitative analysis system for multi-type digital pathological images
Liu, J. (PI), Meng, J. (Team member), Wang, W. (Team member), Liu, H. (Team member), Huang, S. (Team member), Wang, S. (Team member), Shen, L. (Team member), Zhang, Z. (Team member) & Gong, H. (Team member)
1/07/23 → 30/06/26
Project: Governmental Research Project
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Analyzing environment-transport relationships in metropolitan areas: A vulnerability-based geographic framework and prediction model
Tong, J., Wang, G., Wang, S. & Moraros, J., May 2026, In: Journal of Transport Geography.Research output: Contribution to journal › Article › peer-review
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A Thermodynamic Landscape for Photocatalytic CO₂ Reduction on g-C₃N₄: Linking Fermi-Level Position to Selectivity and Activity
You, Y., Wang, S., Wang, S., Yang, L., Moraros, J. & Choi, H., 4 Aug 2026, In: Journal of Materials Chemistry A.Research output: Contribution to journal › Article › peer-review
Open Access -
Bridging land use and transport planning: An AI-enabled decision support system for new urban developments
Tong, J., Wang, G., Liao, R., Wang, S. & Moraros, J., Sept 2026, In: Transportation Research Part A: Policy and Practice.Research output: Contribution to journal › Article › peer-review
Open Access -
Bridging urban theory and artificial intelligence: a multi-agent recommendation system for sustainable city development
Tong, J., Wang, S., Wang, G., Wang, Y. & Moraros, J., 23 Mar 2026, In: npj Urban Sustainability.Research output: Contribution to journal › Article › peer-review
Open Access -
Climate-adaptive transportation infrastructure: Cross-regional solutions for urban resilience and emergency response
Tong, J., Wang, G., Wang, S. & Moraros, J., Feb 2026, In: Urban Climate. 65, 102780.Research output: Contribution to journal › Article › peer-review
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Representation Learning-based Diagnosis of Diabetes Mellitus and Its Complications
Wang, C. (Supervisor), Wang, S. (Co-supervisor) & Payne, T. (Co-supervisor)
2 Jan 2025Activity: Supervision › PhD Supervision
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Harnessing Unlabeled Information for Biomedical Interpretable Learning
Wang, S. (Supervisor)
Jan 2025 → …Activity: Supervision › PhD Supervision
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Discrimination of Gallbladder Disease Using Multimodal Data Fusion Model
Wang, S. (Supervisor)
Sept 2024 → …Activity: Supervision › PhD Supervision
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Study of Active Bone Marrow Segmentation for Pelvic Radiation Therapy Based on Multimodal Feature Fusion and Deep Learning
Wang, S. (Supervisor)
Sept 2024 → …Activity: Supervision › PhD Supervision
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Multi-modal Hybrid Fusion Network Based Comprehensive Geriatric Assessment
Wang, S. (Supervisor)
Sept 2024 → …Activity: Supervision › PhD Supervision