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A楼307室
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A楼307室
2017.10-2020.1: 华威大学🦚，Research fellow 2013．9-2017.9: 华威大学商杏运博士 |
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. |
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 |
