Staff Profile
Dr Shidong Wang
Lecturer in Data Engineering & AI
Background
Shidong Wang is a Lecturer in Data Engineering & AI at the School of Engineering, Newcastle University. Previously, he worked as a Research Associate at NEOLab, School of Civil and Geospatial Engineering (Jan. 2021 - Sep. 2023), where he contributed to projects including Deep Lakes, PYRAMID, and WeACT. Before that, he was a Research Assistant at Open Lab, School of Computing (May 2019 - Dec. 2020).
Publications
Qualifications
BSc (First Class Honours), PhD in AI (University of East Anglia, 2021)
Memberships
Member of IEEE
Research Interests
Shidong's research interests primarily revolve around computer vision, with a specific focus on learning meaningful representations and uncovering hidden patterns within intricate datasets. His research vision lies at the intersections of AI and interdisciplinarity, with a particular emphasis on leveraging AI's capabilities to address significant real-world challenges.
Research Funding
UKRI-GCRF and Newton Fund Consolidation Account (GNCA): Deep Lakes (CoI; £20,921; 10/22 - 03/23);
Guest Lecturer for CSC8637 Deep Learning, School of Computing, Newcastle University
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Articles
- Wang S, Peppa MV, Xiao W, Maharjan SB, Joshi SP, Mills JP. A second-order attention network for glacial lake segmentation from remotely sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing 2022, 189, 289-301.
- Wang S, Ren Y, Parr G, Guan Y, Shao L. Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. IEEE Transactions on Geoscience and Remote Sensing 2021, 59(8), 6549-6561.
- Wang S, Guan Y, Shao L. Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Transactions on Image Processing 2020, 29, 5396-5407.