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卢科

职称/职务:讲师

主要研究领域:决策优化,数据分析,人工智能和金融

电子邮箱:wslukecool@163.com

办公室:经管大楼础楼307室

教育背景与工作经历

2017.10-2020.1: 华威大学,Research fellow

20139-2017.9: 华威大学商学院博士


教研项目及成果

Woodman, R., Lu, K., Higgins, M.D., Brewerton, S., Jennings, P.A. and Birrell, S., 2019. Gap acceptance study of pedestrians crossing between platooning autonomous vehicles in a virtual environment. Transportation Research Part F: Traffic Psychology and Behaviour, 67, pp.1-14.

 

Woodman, R., Lu, K., Higgins, M.D., Brewerton, S., Jennings, P. and Birrell, S., 2019, June. A human factors approach to defining requirements for low-speed autonomous vehicles to enable intelligent platooning. In 2019 IEEE Intelligent Vehicles Symposium (IV) (pp. 2371-2376).

Lu, K., Branke, J. and Ray, T., 2016. Improving Efficiency of Bi-level Worst Case Optimisation. In Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science, vol 9921, pp.410-420. Springer.

Branke, J. and Lu, K., 2015. Finding the trade-off between robustness and worst-case quality. In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation (pp. 623-630). ACM.

 



主讲课程


学术活动与社会服务

2015: 西班牙,Finding the trade-off between robustness and worst-case quality.” presentation in Annual Conference on Genetic and Evolutionary Computation, Madrid, 作报告

2016: 英国,Improving Efficiency of Bi-level Worst Case Optimisation.” poster presentation in International Conference on Parallel Problem Solving from Nature, 作报告

荣誉