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Dr Wanqing Zhao received the B.Eng. degree in automation from Anhui Polytechnic University, China, in 2006 and the M.Eng. degree in control theory and control engineering from Shanghai University, China, in 2009.
After that, he came to the UK for studying a PhD degree at the Queen’s University of Belfast in the School of Electronics, Electrical Engineering, and Computer Science. The PhD research was based on a Science Bridge project at Queen`s, which was one of the only four awarded by the Research Councils UK for research collaboration and knowledge transfer with leading Chinese Universities, research institutions and industry. Since graduated from Queen’s, Dr Zhao came to Loughborough University, working as a Research Associate in Artificial Intelligence for one year. After that, he joined Cardiff University within the School of Engineering, working in the field of water resource management using artificial intelligence techniques.
His primary research interests cover a wide range of multidisciplinary themes, particularly in the fields related to artificial intelligence, such as water resource management, fuzzy systems, neural networks, machine learning, autonomous systems, and various optimisation methods.
Energy and Environment
Cyhoeddiadau
2022
2019
- Zhao, W., Beach, T. H. and Rezgui, Y. 2019. Automated model construction for combined sewer overflow prediction based on efficient LASSO algorithm. IEEE Transactions on Systems Man and Cybernetics: Systems 49(6), pp. 1254-1269. (10.1109/TSMC.2017.2724440)
- Cere, G., Rezgui, Y. and Zhao, W. 2019. Urban-scale framework for assessing the resilience of buildings informed by a delphi expert consultation. International Journal of Disaster Risk Reduction 36, article number: 101079. (10.1016/j.ijdrr.2019.101079)
2018
- Zhao, W., Beach, T. H. and Rezgui, Y. 2018. A systematic mixed-integer differential evolution approach for water network operational optimisation. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474(2217), article number: 20170879. (10.1098/rspa.2017.0879)
- Cerè, G., Zhao, W. and Rezgui, Y. 2018. Nurturing virtual collaborative networks into urban resilience for seismic hazards mitigation. IFIP Advances in Information and Communication Technology 534, pp. 132-143. (10.1007/978-3-319-99127-6_12)
- Beach, T., Howell, S., Terlet, J., Zhao, W. and Rezgui, Y. 2018. Achieving smart water network management through semantically driven cognitive systems. IFIP Advances in Information and Communication Technology 534, pp. 478-485. (10.1007/978-3-319-99127-6_41)
- Cere, G., Zhao, W., Rezgui, Y., Parker, R., Hales, T., MacGillivray, B. H. and Gong, Y. 2018. Multi-objective consideration of earthquake resilience in the built environment: The case of Wenchuan earthquake. Presented at: International Conference on Engineering, Technology and Innovation (ICE/ITMC), Funchal, Portugal, 27-29 Jun 2017Engineering, Technology and Innovation (ICE/ITMC), 2017 International Conference on Engineering, Technology and Innovation. IEEE pp. 513-520., (10.1109/ICE.2017.8279929)
2017
- Cerѐ, G., Rezgui, Y. and Zhao, W. 2017. Critical review of existing built environment resilience frameworks: directions for future research. International Journal of Disaster Risk Reduction 25, pp. 173-189. (10.1016/j.ijdrr.2017.09.018)
- Zhao, W., Beach, T. H. and Rezgui, Y. 2017. Efficient least angle regression for identification of linear-in-the-parameters models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473(2198), article number: 20160775. (10.1098/rspa.2016.0775)
- Cere, G., Zhao, W., Rezgui, Y., Parker, R., Hales, T., MacGillivray, B. and Gong, Y. 2017. Multi-objective consideration of earthquake resilience
in the built environment: the case of Wenchuan
earthquake. Presented at: 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), Madeira, Portugal, 26-30 June 2017.
2016
- Zhao, W., Meng, Q. and Chung, P. W. H. 2016. A heuristic distributed task allocation method for multivehicle multitask problems and its application to search and rescue scenario. IEEE Transactions on Cybernetics 46(4), pp. 902-915. (10.1109/TCYB.2015.2418052)
- Zhao, W., Beach, T. and Rezgui, Y. 2016. Optimization of potable water distribution and wastewater collection networks: A systematic review and future research directions. IEEE Transactions on Systems, Man, and Cybernetics: Systems 46(5), pp. 659-681. (10.1109/TSMC.2015.2461188)
2015
2014
- Zhang, J., Li, K., Zhao, W., Fei, M. and Wang, Y. 2014. A systematic fire detection approach based on sparse least-squares SVMs. Presented at: International Conference on Intelligent Computing for Sustainable Energy and Environment and International Conference on Life System Modeling and Simulation, Shanghai, China, 20 -23 September 2014 Presented at Fei, M. et al. eds.Computational Intelligence, Networked Systems and Their Applications, Vol. 462. Communications in Computer and Information Science Vol. 462. Berlin: Springer pp. 351-362., (10.1007/978-3-662-45261-5_37)
- Du, D., Shang, L. and Zhao, W. 2014. An online recursive identification method over networks with random packet losses. Presented at: International Conference of Life System Modeling and Simulation (LSMS 2014) and International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2014), Shanghai, China, 20-23 September 2014 Presented at Fei, M. et al. eds.Computational Intelligence, Networked Systems and Their Applications, Vol. 462. Communications in Computer and Information Science Springer pp. 449-458., (10.1007/978-3-662-45261-5_47)
2013
- Zhao, W., Niu, Q., Li, K. and Irwin, G. W. 2013. A hybrid learning method for constructing compact rule-based fuzzy models. IEEE Transactions on Cybernetics 43(6), pp. 1807-1821. (10.1109/TSMCB.2012.2231068)
- Zhao, W., Li, K. and Irwin, G. W. 2013. A new gradient descent approach for local learning of fuzzy neural models. IEEE Transactions on Fuzzy Systems 21(1), pp. 30-44. (10.1109/TFUZZ.2012.2200900)
2012
- Zhang, J., Li, K., Irwin, G. W. and Zhao, W. 2012. A regression approach to LS-SVM and sparse realization based on fast subset selection. Presented at: 10th World Congress on Intelligent Control and Automation (WCICA), Beijing, China, 6-8 July 2012 Presented at Cheng, D. ed.Proceedings of the 10th World Congress on Intelligent Control and Automation July 6-8, 2012, Beijing, China. Piscataway, NJ: Institute of Electrical and Electronics Engineers pp. 612-617., (10.1109/WCICA.2012.6357952)
- Pizzileo, B., Li, K., Irwin, G. W. and Zhao, W. 2012. Improved structure optimization for fuzzy-neural networks. IEEE Transactions on Fuzzy Systems 20(6), pp. 1076-1089. (10.1109/TFUZZ.2012.2193587)
2011
- Zhao, W., Li, K., Irwin, G. W. and Niu, Q. 2011. A hybrid approach to locally optimized interpretable partitions of fuzzy neural models. Presented at: International Conference on Fuzzy Computation Theory and Applications (FCTA 2011), Paris, France, 24-26 October 2011 Presented at Rosa, A. ed.ECTA 2011, FCTA 2011 proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications. SciTePress pp. 461., (10.5220/0003626304610465)
2010
- Fei, M. R., Zhao, W., Yang, T. C. and Yang, S. 2010. A new experimental set-up for control study. Transactions of the Institute of Measurement and Control 32(3), pp. 319-330. (10.1177/0142331209345174)
- Yang, A., Niu, Q., Zhao, W., Li, K. and Irwin, G. W. 2010. An efficient algorithm for grid-based robotic path planning based on priority sorting of direction vectors. Lecture Notes in Computer Science 6329, pp. 456-466. (10.1007/978-3-642-15597-0_50)
- Zhao, W., Li, K., Irwin, G. W. and Fei, M. 2010. An integrated method for the construction of compact fuzzy neural models. Lecture Notes in Computer Science 6215, pp. 102-109. (10.1007/978-3-642-14922-1_14)
2008
Articles
- Cere, G., Rezgui, Y., Zhao, W. and Petri, I. 2022. A machine learning approach to appraise and enhance the structural resilience of buildings to seismic hazards. Structures 45, pp. 1516-1529. (10.1016/j.istruc.2022.09.113)
- Zhao, W., Beach, T. H. and Rezgui, Y. 2019. Automated model construction for combined sewer overflow prediction based on efficient LASSO algorithm. IEEE Transactions on Systems Man and Cybernetics: Systems 49(6), pp. 1254-1269. (10.1109/TSMC.2017.2724440)
- Cere, G., Rezgui, Y. and Zhao, W. 2019. Urban-scale framework for assessing the resilience of buildings informed by a delphi expert consultation. International Journal of Disaster Risk Reduction 36, article number: 101079. (10.1016/j.ijdrr.2019.101079)
- Zhao, W., Beach, T. H. and Rezgui, Y. 2018. A systematic mixed-integer differential evolution approach for water network operational optimisation. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474(2217), article number: 20170879. (10.1098/rspa.2017.0879)
- Cerè, G., Zhao, W. and Rezgui, Y. 2018. Nurturing virtual collaborative networks into urban resilience for seismic hazards mitigation. IFIP Advances in Information and Communication Technology 534, pp. 132-143. (10.1007/978-3-319-99127-6_12)
- Beach, T., Howell, S., Terlet, J., Zhao, W. and Rezgui, Y. 2018. Achieving smart water network management through semantically driven cognitive systems. IFIP Advances in Information and Communication Technology 534, pp. 478-485. (10.1007/978-3-319-99127-6_41)
- Cerѐ, G., Rezgui, Y. and Zhao, W. 2017. Critical review of existing built environment resilience frameworks: directions for future research. International Journal of Disaster Risk Reduction 25, pp. 173-189. (10.1016/j.ijdrr.2017.09.018)
- Zhao, W., Beach, T. H. and Rezgui, Y. 2017. Efficient least angle regression for identification of linear-in-the-parameters models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473(2198), article number: 20160775. (10.1098/rspa.2016.0775)
- Zhao, W., Meng, Q. and Chung, P. W. H. 2016. A heuristic distributed task allocation method for multivehicle multitask problems and its application to search and rescue scenario. IEEE Transactions on Cybernetics 46(4), pp. 902-915. (10.1109/TCYB.2015.2418052)
- Zhao, W., Beach, T. and Rezgui, Y. 2016. Optimization of potable water distribution and wastewater collection networks: A systematic review and future research directions. IEEE Transactions on Systems, Man, and Cybernetics: Systems 46(5), pp. 659-681. (10.1109/TSMC.2015.2461188)
- Zhao, W., Zhang, J. and Li, K. 2015. An efficient LS-SVM based method for fuzzy system construction. IEEE Transactions on Fuzzy Systems 23(3), pp. 627-643. (10.1109/TFUZZ.2014.2321594)
- Zhao, W., Niu, Q., Li, K. and Irwin, G. W. 2013. A hybrid learning method for constructing compact rule-based fuzzy models. IEEE Transactions on Cybernetics 43(6), pp. 1807-1821. (10.1109/TSMCB.2012.2231068)
- Zhao, W., Li, K. and Irwin, G. W. 2013. A new gradient descent approach for local learning of fuzzy neural models. IEEE Transactions on Fuzzy Systems 21(1), pp. 30-44. (10.1109/TFUZZ.2012.2200900)
- Pizzileo, B., Li, K., Irwin, G. W. and Zhao, W. 2012. Improved structure optimization for fuzzy-neural networks. IEEE Transactions on Fuzzy Systems 20(6), pp. 1076-1089. (10.1109/TFUZZ.2012.2193587)
- Fei, M. R., Zhao, W., Yang, T. C. and Yang, S. 2010. A new experimental set-up for control study. Transactions of the Institute of Measurement and Control 32(3), pp. 319-330. (10.1177/0142331209345174)
- Yang, A., Niu, Q., Zhao, W., Li, K. and Irwin, G. W. 2010. An efficient algorithm for grid-based robotic path planning based on priority sorting of direction vectors. Lecture Notes in Computer Science 6329, pp. 456-466. (10.1007/978-3-642-15597-0_50)
- Zhao, W., Li, K., Irwin, G. W. and Fei, M. 2010. An integrated method for the construction of compact fuzzy neural models. Lecture Notes in Computer Science 6215, pp. 102-109. (10.1007/978-3-642-14922-1_14)
Conferences
- Cere, G., Zhao, W., Rezgui, Y., Parker, R., Hales, T., MacGillivray, B. H. and Gong, Y. 2018. Multi-objective consideration of earthquake resilience in the built environment: The case of Wenchuan earthquake. Presented at: International Conference on Engineering, Technology and Innovation (ICE/ITMC), Funchal, Portugal, 27-29 Jun 2017Engineering, Technology and Innovation (ICE/ITMC), 2017 International Conference on Engineering, Technology and Innovation. IEEE pp. 513-520., (10.1109/ICE.2017.8279929)
- Cere, G., Zhao, W., Rezgui, Y., Parker, R., Hales, T., MacGillivray, B. and Gong, Y. 2017. Multi-objective consideration of earthquake resilience
in the built environment: the case of Wenchuan
earthquake. Presented at: 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), Madeira, Portugal, 26-30 June 2017.
- Zhang, J., Li, K., Zhao, W., Fei, M. and Wang, Y. 2014. A systematic fire detection approach based on sparse least-squares SVMs. Presented at: International Conference on Intelligent Computing for Sustainable Energy and Environment and International Conference on Life System Modeling and Simulation, Shanghai, China, 20 -23 September 2014 Presented at Fei, M. et al. eds.Computational Intelligence, Networked Systems and Their Applications, Vol. 462. Communications in Computer and Information Science Vol. 462. Berlin: Springer pp. 351-362., (10.1007/978-3-662-45261-5_37)
- Du, D., Shang, L. and Zhao, W. 2014. An online recursive identification method over networks with random packet losses. Presented at: International Conference of Life System Modeling and Simulation (LSMS 2014) and International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2014), Shanghai, China, 20-23 September 2014 Presented at Fei, M. et al. eds.Computational Intelligence, Networked Systems and Their Applications, Vol. 462. Communications in Computer and Information Science Springer pp. 449-458., (10.1007/978-3-662-45261-5_47)
- Zhang, J., Li, K., Irwin, G. W. and Zhao, W. 2012. A regression approach to LS-SVM and sparse realization based on fast subset selection. Presented at: 10th World Congress on Intelligent Control and Automation (WCICA), Beijing, China, 6-8 July 2012 Presented at Cheng, D. ed.Proceedings of the 10th World Congress on Intelligent Control and Automation July 6-8, 2012, Beijing, China. Piscataway, NJ: Institute of Electrical and Electronics Engineers pp. 612-617., (10.1109/WCICA.2012.6357952)
- Zhao, W., Li, K., Irwin, G. W. and Niu, Q. 2011. A hybrid approach to locally optimized interpretable partitions of fuzzy neural models. Presented at: International Conference on Fuzzy Computation Theory and Applications (FCTA 2011), Paris, France, 24-26 October 2011 Presented at Rosa, A. ed.ECTA 2011, FCTA 2011 proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications. SciTePress pp. 461., (10.5220/0003626304610465)
- Wei, L., Fei, M. and Zhao, W. 2008. Analysis of grey prediction based iterative learning control. Presented at: 2008 IEEE International Conference on Information and Automation, Zhangjiajie, China, 20-23 June 2008Information and Automation, 2008. ICIA 2008. International Conference on. IEEE pp. 1096-1100., (10.1109/ICINFA.2008.4608162)
Contracts
Supervised Students
Supervision
Past projects