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 of Information fusion, Neural Networks, and IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
Research interests
MRI sensors, CT sensors
Image processing
Multi-view data analysis
Large scale data analysis
Artificial Intelligence
Information fusion
Biomedical Data analysis
Experience
8/2023- Associate Professor, School of Sciences, 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
Awards and honours
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, 2023 Highly cited researcher (Clarivate)
2020, 2021, 2022, 2023 Chinese Highly Cited Researcher by Elsevier
2022 Annual Best Paper Award by Journal of Information Fusion.
2023 Stanford Top 2% Scientist
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
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.
Person Types
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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., Tang, M., Dai, W., Moraros, J., Meng, J., Zhang, Y. & Li, C.
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
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
Project: Governmental Research Project
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Abscissa-Ordinate Focused Network for Psoriasis and Eczema Healthcare Cyber-Physical System With Active Label Smoothing
Zhu, W., Lai, H., Zhang, H., Zhang, G., Luo, Y., Wang, J., Sun, L., Lu, J., Wang, S. & Xiang, Y., 2024, In: IEEE Access. 12, p. 54953-54963 11 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
AlexNet for Image-Based COVID-19 Diagnosis
Tang, M., Peng, Y., Wang, S., Chen, S. & Zhang, Y., 2024, Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) - Medical Imaging and Computer-Aided Diagnosis. Su, R., Zhang, Y-D. & Frangi, A. F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 166-176 11 p. (Lecture Notes in Electrical Engineering; vol. 1166 LNEE).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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An adaptive block-wise prediction error-based (AdaBPE) reversible data hiding in encrypted images for medical image transmission
Panchikkil, S., Manikandan, V. M., Pratim Roy, P., Wang, S. & Zhang, Y., 2024, (Accepted/In press) In: CAAI Transactions on Intelligence Technology.Research output: Contribution to journal › Article › peer-review
Open Access -
A review of IoT applications in healthcare
Li, C., Wang, J., Wang, S. & Zhang, Y., 14 Jan 2024, In: Neurocomputing. 565, 127017.Research output: Contribution to journal › Article › peer-review
Open Access51 Citations (Scopus) -
Bat algorithm based on kinetic adaptation and elite communication for engineering problems
Yuan, C., Zhao, D., Heidari, A. A., Liu, L., Wang, S., Chen, H. & Zhang, Y., 2024, (Accepted/In press) In: CAAI Transactions on Intelligence Technology.Research output: Contribution to journal › Article › peer-review
Open Access
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Harnessing Unlabeled Information for Biomedical Interpretable Learning
Shuihua Wang (Supervisor)
Jan 2025 → …Activity: Supervision › PhD Supervision
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Prognostic model of diabetic nephropathy based on multi-modal data fusion
Shuihua Wang (Co-supervisor)
Sept 2024 → …Activity: Supervision › PhD Supervision
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Multi-modal Hybrid Fusion Network Based Comprehensive Geriatric Assessment
Shuihua Wang (Supervisor)
Sept 2024 → …Activity: Supervision › PhD Supervision
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Discrimination of Gallbladder Disease Using Multimodal Data Fusion Model
Shuihua Wang (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
Shuihua Wang (Supervisor)
Sept 2024 → …Activity: Supervision › PhD Supervision