Talk Abstract: Transportation, being one of the most historical filed both in academy and industry, has developed dramatically along with human civilizing advancement. In recent years, accompanying with the remarkable technical innovations in mobile internet and artificial intelligence, this traditional area is again, embracing unprecedented opportunity and transforming into the new era. Intelligent transportation system becomes critical as it not only expresses people’s expectation for future smart city but also bears hope to resolve the growing paradox between development and sustainability.
Instead of privately owning the vehicle, which might actually park stilly for approximately 85% of time, people are shifting to the creative mobility-on-demand service originating in ride-sharing. As the largest ride-sharing platform in the world, DiDi Chuxing provides various service types to meet customers’ personalized mobility demands. Currently, the platform completed 25 millions of rides daily. Behind the original intention to make each journey better, it is millions of calculation in each single second that supports realizing smart decisions and achieving service improvements. The collaborating power of computer science, operational research and transportation is together to create the path for sharing and bring the future to now.
Speaker's bio: Lan Liu, graduated from Cornell in 2017 with major in transportation and operational research. Passionate in urban mobility research, Lan’s study focuses on stochastic network optimization, discrete choice models in multi-modal transportation and algorithmic game theory. The integration of mathematics and big data technology reveals a world of curiosity and elegance as well as encourages her to continuously explore. Currently, Lan is an Algorithm Engineer at DiDi Chuxing’s carpool team.
Schedule Of Fall 2017 Seminar Series On Data Science And AI:
Oct 23, 5-6:30pm, Room 101, Dafei Yin (Data Scientist, Mobike), How Mobike Data Help Improve the Operation and City Planning
Nov 1, 5-6:30pm, Room 101, Guido Gerig (Professor of CS, NYU), Medical Image Analysis: Extracting Information from Image Data
Nov 7, 5-6:30pm, Room 102, Michael Wu (Chief Scientist, Lithium), AI is the New BI: How to Get Your Enterprise Ready for the AI Revolution
Nov 28, 6-7pm, Room 1504, Kai Yu (Horizon Robotics), The Brain of Autonomous Driving: from Algorithms to Processors
Dec 4, 5-6:30pm, Room 1504, Lan Liu (Didi), Explore The Path for Sharing
Dec 11, 5-6:30pm, Room 101, Wilson Tam (Tenccent), Development of Chatbot Technologies and Challenges
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