2022年11月18日上午，美國明尼蘇達大學曹新宇（Jason Cao）教授為我院師生舉辦“機器學習在交通行為非線性研究中的探索”學術講座。受疫情影響，本次講座以線上形式舉辦，校長助理、學院院長杜強教授主持，學院200多名師生參加講座。
曹教授首先就機器學習在交通行為非線性研究的統計與理論基礎、實踐意義以及方法進行了系統介紹，然后以實例展示機器學習在解決非線性研究中的優勢，闡釋了機器學習在相關領域應用的適用性和可拓展性；最后，與會師生紛紛發言，與曹教授展開熱烈討論，曹教授結合自身經驗解答了師生在科學研究方面的疑惑。
此次交流，為我院師生未來研究提供了新思路和新視角，進一步拓展了我院的對外高水平學術交流與合作。
主講人介紹：Jason Cao is a professor at the University of Minnesota. Prof. Cao specializes in land use and transportation interaction, the effects of ICT on travel behavior, and planning for quality of life. He is internationally well-known for his research on residential self-selection in the relationships between the built environment and travel behavior. His recent work focuses on non-linear relationships in land use and transportation research and planning for travel satisfaction, neighborhood satisfaction, and life satisfaction. Jason leads research development in the fields of planning and transportation by editing journals and special issues. Prof. Cao published over 120 papers and H-index 54. He is the Co-Editor-in-Chief of Transportation Research Part D, a leading journal in transportation research. He guest edited eight issues for six journals, including Journal of Regional Science, Journal of Transport and Land Use, Transport Policy, Transportation Letters, Transportation Research Part D, and Travel Behavior and Society.
供稿：陳遷 審核：樊建強