主讲人：马江山 算法总监

邀请人：许项东 教授

时间：2023年4月20日（周四）下午2:00-3:30

地点：交通运输工程学院（通达馆）103会议室

主讲人简介：

马江山，现任携程集团算法总监，2007&2012年本科和硕士毕业于东南大学，2012于日本东京工业大学获博士学位。主要研究方向为交通地理信息系统、路径规划模型和算法、多智能体交通仿真、交通数据挖掘等。2014年获日本国土交通部优秀先进技术开发奖，2021年获中国交通协会科技进步奖一等奖。在学术研究上有多篇论文发表于 Transportation Research Record、Transportation Research Part C、Transportmetrica A: Transport Science、IEEE Transactions on ITS、Procedia Computer Science，以及ISTTT21 (oral presentation)、TRB、EASTS、HKSTS、INSTR、CICTP等国际会议，参与撰写多智能体交通仿真开源项目MATSim Agent- based Simulation Tool一书。

主讲内容简介：

Data science is an interdisciplinary field that encompasses multiple domains, including statistics, computer science, mathematics, and domain knowledge, to extract meaningful information and knowledge from data. It also plays a critical role in the development and implementation of intelligent transportation systems. By leveraging data from various sources, data scientists can develop models and algorithms that optimize transportation systems and improve travel as well. However, there are gaps between textbooks and the real world. I hope my lecture can bridge the gap to some extent. In my more than ten years of experience in both academia and industry, I have personally witnessed the practical applications of data science and its importance in various fields. In this lecture, I will draw on my personal experience to discuss the application of data science in intelligent transportation. I hope the lecture can provide some insights for students who are interested in data science and the cross domain research and application bridging theory and practices.

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