Prof. Xiangjie Kong

Zhejiang University of Technology, China

Experience: Dr. Xiangjie Kong is currently a Full Professor and Associate Academic Dean with the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), Hangzhou, China. Previously, he was an Associate Professor with the School of Software, Dalian University of Technology (DUT), Dalian, China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab) (http://cssclab.cn/). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 200 scientific papers in international journals and conferences including IEEE TKDE, IEEE TMC, ACM TKDD, IEEE TNSE, IEEE TII, IEEE TITS, IEEE NETW, IEEE COMMUN MAG, IEEE TVT, IEEE IOTJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, WWWJ, etc.. 5 of his papers is selected as ESI- Hot Paper (Top 1‰), and 18 papers are ESI-Highly Cited Papers (Top 1%).  His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals including IEEE TKDE, IEEE TMC, IEEE TNNLS, IEEE TNSE, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE NETW, IEEE TITS, TCJ, JASIST, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He has an h-index of 50 and i10-index of 120, and a total of more than 8100 citations to his work according to Google Scholar. He is named in the2019-2021 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 5 international conferences, and delivered a number of Invited Talks at international conferences and many universities world.

Title: Artificial Intelligence Empowered Computational Urban Science

Speech Abstract: Modern cities consist of three interconnected spaces: the physical world, human society, and the information space. Urban spatiotemporal data forms the foundation and core of intelligent urban mobility. By leveraging artificial intelligence techniques such as graph learning, the mining and analysis of urban spatiotemporal data can accurately profile travel information within cities, enabling prediction, early warning, and decision support. However, the black-box feature of artificial intelligence brings significant challenges for urban travel profiling. Data and kowledge driven computational urban science offers new perspectives for mining and analyzing urban spatiotemporal data. This talk will present the latest advances in the field of computational urban science.

Assoc. Prof. Chuan Luo

Sichuan University, China

Experience:Luo Chuan, associate professor, master's supervisor; PhD from Southwest Jiaotong University, postdoctoral fellow from Sichuan University, PhD jointly trained by the University of Regina in Canada, short-term interdisciplinary visiting scholar at Harvard University; member of the Chinese artificial intelligence society granular computing and knowledge discovery professional committee, IEEE/IRSS/CCF/CAAI member.

He is mainly engaged in data mining and knowledge discovery, granular computing and rough sets, incremental learning and parallel computing research. He has published more than 40 academic papers in IEEE T KNOWL DATA EN, IEEE T FUZZY SYST, INFORM SCIENCES, KNOWL-BASED SYST, INT J APPROX REASON, APPL. INTELL., and other international journals or conferences, and was selected for 7 ESI highly cited papers; published 2 academic monographs (Science Press); won the IEEE CyberSciTech 2019, FLINS 2016, IJCRS 2015, CRSSC 2013, JRS 2012 conference excellent paper awards.