Dr. Jianxin Li: Research Challenges and Opportunities of Knowledge Graph in Structural Health Monitoring

Presenter: Jianxin Li

Abstract: Civil engineering infrastructure is generally the most expensive national investment and asset of any country. It requires much longer service life compared to other commercial products because civil structures are costly to replace once they are constructed. All structures, such as bridges, wind energy plants, oil rigs, high-rise buildings, require regular maintenance because they are subject to various internal and external factors which could cause malfunction. Moreover, each structure is unique in terms of materials, design, and construction. To ensure the structural integrity and safety, civil structures must be equipped with Structural Health Monitoring (SHM) aiming to develop automated systems for the continuous monitoring, inspection, and damage detection of structures with minimum labour involvement to reduce cost and risk to humans. In this talk, Jianxin Li will overview the mainstream deep learning techniques used for structural health monitoring in different environments, present their existing challenges and limitations, and then discuss the research opportunities of this area from a new perspective in terms of knowledge graph. This talk will be favour of all attendees who may have interest about interdisciplinary research of data science, AI, and structural engineering.

Bio:

Dr Jianxin Li is an A/Professor of Data Science, and Director of Smart Networks Lab, in the School of IT, Deakin University. His research interests include social computing, query processing and optimization, and big data analytics. He has published 90 high quality research papers in top international conferences and journals, including PVLDB, IEEE ICDE, SIGKDD, ACM WWW, AAAI, IJCAI, IEEE ICDM, EDBT, ACM CIKM, IEEE TKDE, The VLDB Journal, IEEE TII, IEEE Internet of Things, and WWW Journal. Jianxin is serving many academic committees. He is the associate editor for Information Systems, IEEE Signal Processing Letters, and the editor-in-chief of the International Journal of Knowledge Science & Engineering. He is the guest editor for many other international journals, such as IEEE Transactions on Industrial Informatics, Neurocomputing, Computational Intelligence, IET Intelligent Transport Systems, Complexity, Data Science and Engineering. Jianxin also serves for many international conference committees, such as the General Co-chair at the 18th IEEE International Symposium on Parallel and Distributed Processing with Applications 2020, the PC Co-chair at the 15th International Conference on Advanced Data Mining and Applications 2019, PC members for world leading conferences like PVLDB, ICDE, AAAI, IJCAI, and invited reviewers for IEEE TKDE, ACM TKDD, WWW Journal and VLDB Journal. His research has been funded by Australia Research Council Discovery Project, Linkage Project, Western Australia State Government, and several industry grants..