Faculty

YANG Lili

Professor  
0755-88015917
521, Hui Yuan 3#
  • Brief Biography
  • Research
  • Teaching
  • Published Works

Personal Page:http://faculty.sustech.edu.cn/yangll/en


Brief Biography:

Prof. Dr. Lili Yang, a professor in Department of Statistics and Data Science at Southern University of Science and Technology. She was working at Loughborough University in the UK. She has been a tenure assistant professor, associate professor and then professor in the School of Business and Economics at Loughborough University, and a senate member of the Loughborough University. She has also served as Associate Director of the Service Management Research Center and the head of the Emergency Management Research Group. She was selected as a Fellow of the British Computer Society in 2008 (BCS Fellow). Professor Yang has long been engaged in the research of theories and methods of public safety emergency management to preside over and complete more than 20 important projects funded by the European Commission (European Commission FP7), the UK National Engineering and Natural Sciences Fund (EPSRC), or the British Ministry of Defence (MoD), etc. Her many scientific research results have been successfully applied into real life practices. She has published three books and more than 100 papers. She has been acting as an EPSRC Associate Peer Review Colleague for a long time and playing the role as an expert reviewer for different scientific funding bodies in the UK, China, Portugal and Luxembourg etc. At present in Southern University of Science and Technology, she is leading a project of the National Natural Science Foundation of China, and a sub-project leader for the project of National Key Research and Development Program of the Ministry of Science and Technology.

 

Research Interests:

Big data analysis, Decision science, Multi-objective optimization, Emergency model building, Energy relationship analysis

 

Educational background:

03/2000-08/2004   PhD in Computer Science, The University of Derby, UK

09/1998-01/2000   MSc in Information Technology, Loughborough University, UK

09/1979-07/1983   BSc in Automation, Petroleum University, China

 

Working experience:

2020/04 to present Professor, Department of Statistics and Data Science, Southern University of Science and Technology

2016/12-2020/04 Professor, Department of Mathematics, Southern University of Science and Technology

2012/01-2016/12 Professor, Loughborough University, UK

2009/05-2012/01 Associate Professor, Loughborough University, United Kingdom

2006/09-2009/05 Assistant Professor, Loughborough University, United Kingdom


Selected publications:

  1. Li, X., Yang, L., Zheng, H., Shan, Y., Zhang, Z., Song, M., Cai, B., Guan, D., (2018) “City level water energy nexus in Beijing-Tianjin-hebei region”, Applied Energyhttps://doi.org/10.1016/j.apenergy.2018.10.097

  2. Prasanna, R., Yang, L., King, M., Huggins, T. J. (2017) ‘Information systems architecture for fire emergency response’, Journal of Enterprise Information Management, vol.30, pp605-624.

  3. Huang, S., Zhou, C., Yang, L., Qin, Y., Huang, X., and Hu B. (2016) ‘Transient fault tolerant control for vehicle brake-by-wire systems’, Reliability Engineering and System Safety, Vol 149, pp148–163

  4. Shan, Y., and Yang, L., (2016) ‘Fast and frugal heuristics and naturalistic decision making: a review of their commonalities and differences’, Thinking and ReasoningDOI: 10.1080/13546783.2016.1152999

  5. Kumasaki, M., King, M., Arai, M., and Yang, L. (2015) Anatomy of cascading natural disasters in Japan: main modes and linkages’, Natural HazardsVolume 80, Issue 3, pp 1425-1441

  6. Yang, L., Prasanna, R., and King, M., (2014) ‘GDIA: Eliciting information requirements in emergency first response’, Requirement Engineering, pp.1-18, ISSN: 0947-3602. DOI: 10.1007/s00766-014-0202-2

  7. Yang L, Yang S H, and Plotnick L, (2013) ‘How the Internet of Things technology enhances emergency response operations’, Technological Forecasting and Social Changes, 80(9), pp.1854-1867, ISSN: 0040-1625.

  8. Yang, L, Su, G, Yuan, H (2012) Design principles of integrated information platform for emergency responses: The case of 2008 Beijing Olympic GamesInformation Systems Research, 23(3 PART 1), pp.761-786, ISSN: 1047-7047.

  9. L Yang, S H Yang, (2007) Multi-rate control scheme for Internet based control systems, IEEE Transactions on SMC, 37(2), pp 185-192, ISSN 1094-6977.

  10. L Yang, B Jones, and S H Yang, (2007) A Fuzzy Multi-objective Programming for Fire Stations Location through Genetic Algorithms, European Journal of Operational Research, 181(2), pp 903-915, ISSN 0377-2217.

  11. L Yang, and B Jones, (2006) Genetic Algorithm Based Software Integration with Minimum Software Risk, Information and Software Technology, Vol. 48, Issue 3, pp. 133-141, ISSN 09505849.

  12. L Yang, M Gell, C W Dawson, and M R Brown, (2006) Neural Network and GA Approaches for Dwelling Fire Occurrence Prediction, Knowledge-Based Systems, Vol.19, Issue 4, pp. 213-219, ISSN 09507051.


  1. Li, X., Yang, L., Zheng, H., Shan, Y., Zhang, Z., Song, M., Cai, B., Guan, D., (2018) “City level water energy nexus in Beijing-Tianjin-hebei region”, Applied Energyhttps://doi.org/10.1016/j.apenergy.2018.10.097

  2. Prasanna, R., Yang, L., King, M., Huggins, T. J. (2017) ‘Information systems architecture for fire emergency response’, Journal of Enterprise Information Management, vol.30, pp605-624.

  3. Huang, S., Zhou, C., Yang, L., Qin, Y., Huang, X., and Hu B. (2016) ‘Transient fault tolerant control for vehicle brake-by-wire systems’, Reliability Engineering and System Safety, Vol 149, pp148–163

  4. Shan, Y., and Yang, L., (2016) ‘Fast and frugal heuristics and naturalistic decision making: a review of their commonalities and differences’, Thinking and ReasoningDOI: 10.1080/13546783.2016.1152999

  5. Kumasaki, M., King, M., Arai, M., and Yang, L. (2015) Anatomy of cascading natural disasters in Japan: main modes and linkages’, Natural HazardsVolume 80, Issue 3, pp 1425-1441

  6. Yang, L., Prasanna, R., and King, M., (2014) ‘GDIA: Eliciting information requirements in emergency first response’, Requirement Engineering, pp.1-18, ISSN: 0947-3602. DOI: 10.1007/s00766-014-0202-2

  7. Yang L, Yang S H, and Plotnick L, (2013) ‘How the Internet of Things technology enhances emergency response operations’, Technological Forecasting and Social Changes, 80(9), pp.1854-1867, ISSN: 0040-1625.

  8. Yang, L, Su, G, Yuan, H (2012) Design principles of integrated information platform for emergency responses: The case of 2008 Beijing Olympic GamesInformation Systems Research, 23(3 PART 1), pp.761-786, ISSN: 1047-7047.

  9. L Yang, S H Yang, (2007) Multi-rate control scheme for Internet based control systems, IEEE Transactions on SMC37(2), pp 185-192, ISSN 1094-6977.

  10. L Yang, B Jones, and S H Yang, (2007) A Fuzzy Multi-objective Programming for Fire Stations Location through Genetic Algorithms, European Journal of Operational Research181(2), pp 903-915, ISSN 0377-2217.

  11. L Yang, and B Jones, (2006) Genetic Algorithm Based Software Integration with Minimum Software Risk, Information and Software Technology, Vol. 48, Issue 3, pp. 133-141, ISSN 09505849.

  12. L Yang, M Gell, C W Dawson, and M R Brown, (2006) Neural Network and GA Approaches for Dwelling Fire Occurrence Prediction, Knowledge-Based Systems, Vol.19, Issue 4, pp. 213-219, ISSN 09507051.


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