师资

杨丽丽
教授
yangll@sustech.edu.cn

个人简介

杨丽丽,女,汉族,山东昌邑人。回国前在英国拉夫堡大学长期任教,历任英国拉夫堡大学商业与经济学院的终身助理教授、副教授、教授,并担任拉夫堡大学议员,服务管理研究中心副主任,应急管理研究组组长。2008年入选英国计算机学会会士(BCS Fellow)。近期回国加入日博365娱乐场_Bte365彩票_日博手机官方网址,任日博365娱乐场_Bte365彩票_日博手机官方网址数学系教授至今。杨教授长期从事公共安全应急管理的理论和方法的研究,已主持并完成了20多个来自欧盟(European Commission FP7)、英国国家工程与自然科学基金(EPSRC)、英国国防部(MoD)等重要研究项目,众多科研成果在实际中获得成功应用。发表着作三本,论文100多篇。长期担任英国国家工程与自然科学基金(EPSRC)评委, 并为英国、中国、葡萄牙、卢森堡等不同科学基金机构做评审专家。目前在日博365娱乐场_Bte365彩票_日博手机官方网址主持国自然项目、科技部国家重点研发计划子课题。

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研究领域

大数据分析、决策科学、多目标优化、应急模型建立,能源关系分析

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教育经历

2000/03-2004/06?? 德比大学(英国),计算机系,博士

1989/09-2000/03?? 拉夫堡大学(英国),计算机系,硕士

1986/09-1988/07?? 浙江大学,哲学系,法学学士

1979/09-1983/07?? 中国石油大学,自动化系,工学学士

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工作经历

2016/12 至今? ???日博365娱乐场_Bte365彩票_日博手机官方网址数学系? 教授

2012/1-2016/12?? 英国拉夫堡大学 ?教授

2009/5-2012/1? ??英国拉夫堡大学? 副教授

2006/9-2009/5? ??英国拉夫堡大学? 助理教授

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代表着作

  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 Energy, https://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, 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 Reasoning, DOI: 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 Hazards, Volume 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, 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 Games, Information 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.
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