School of Software and Artificial Intelligence Held a Lecture on "Urban Spatio-Temporal Data Fusion and Application"

(Interpreter: Zou Huan)

School of Software and Artificial Intelligence Held a Lecture on "Urban Spatio-Temporal Data Fusion and Application"

Net News (Article/Picture Software Engineering Institute Haokun Tang, Qingling Zhou) On May 18th, the School of Software and Artificial Intelligence invited Professor Tingting Xu, Deputy Director of the Department of Software Theory and Engineering, School of Software Engineering, Chongqing University of Posts and Telecommunications, to give a lecture on "The application of artificial Intelligence in the study of geographical Environment - Big Data of Geographical time and space + Machine Learning" in the lecture hall on the stairs of the school building.

The lecture was hosted by Hualin Li, director of the Institute of Artificial Intelligence, Ning Liao, Haokun Tang, deputy deans, Hongjing He, director of the Institute of Big Data Technology and Application, and 150 teachers and students from three institutes of the School of Software and Artificial Intelligence.

Tingting Xu dean GIS (geographic information science), first introduced the concept of big data, machine learning, and other fields, research field made roughly introduction, then he GIS, big data, and made a relationship between machine learning, and thus lead to the theme of his lecture made in - based on machine learning and temporal-spatial big grow space simulation study of city expansion. Tingting Xu dean mentioned in the lecture cities grow space (namely the living space, the production space and ecological space), the concept of corresponding to this is the physical space, social space and information space, between the three data have overlap in time and space, the GIS system will be collected in all aspects of the high and low frequency data into the model training, be able to get urban expansion, production site, Business environment optimization and a series of reference value suggestions. After practice examination, professor xu model compared with the traditional GIS model on the breadth, depth, and reliability of the data has larger ascension.

Tingting Xu also communicated and interacted with teachers and students on how to carry out scientific research activities, how to find innovative topics, and how to improve the interpretability of big data models.

The lecture is simple, operating an innovative academic atmosphere, inspiring teachers and students' scientific research inspiration, inspiring new ideas, new technology precipitation.

Tingting Xu Profile: Doctor from Auckland University, New Zealand, now works as deputy head of Software Theory and Engineering Department, School of Software Engineering, Chongqing University of Posts and Telecommunications, information system project manager, member of CCF, member of Geographical Society of China, expert committee of Chongqing Chief Information Officer Association, winner of Innovation and Entrepreneurship Support Plan for returned overseas students in Chongqing. Professor Xu has long been engaged in research on geographic information science, urban space-time big data computing and smart city sustainable development model. In the past three years, he has participated in and presided over more than 10 national and provincial projects. He has published more than 20 high-level papers as the first and corresponding author, including more than 10 SCI/SSCI papers, one invention patent and one utility model patent. He has won twice the third prize of the National Geographic Information Technology Progress Award and the National Excellent Surveying and Mapping Project Award.