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<pdf width="1500px">https://ceur-ws.org/Vol-2227/KDD-UMCit2018-InvitedTalk.pdf</pdf>
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Invited Talk

     Uncovering the Hidden Wisdom of Crowds in Smart Cities

                                                  Chuanren Liu1

                           Decision Sciences and MIS Department - Drexel University



      Abstract Data-driven intelligence is essential to the success of smart city initiatives. In this talk, we
      will review our recent studies in developing creative and practical solutions to emerging challenges in
      smart cities. By integrating a wide range of information and uncovering the hidden wisdom of crowds
      in smart cities, our data-driven techniques can benefit citizens, transportation services, business, and
      government agencies. Both algorithmic challenges and societal impacts will be discussed.




Biographical Sketch

                                                            Dr. Chuanren Liu received the Ph.D. in Man-
                                                            agement (Information Technology) from Rutgers,
                                                            the State University of New Jersey, USA, the M.S.
                                                            degree in Mathematics from the Beijing University
                                                            of Aeronautics and Astronautics (BUAA), and the
                                                            B.S. degree in Mathematics from the University of
                                                            Science and Technology of China (USTC). His re-
                                                            search interests include data mining and knowledge
                                                            discovery, and their applications in business analyt-
                                                            ics. He has published papers in refereed journals and
                                                            conference proceedings, such as European Journal
                                                            of Operational Research, Annals of Operations Re-
                                                            search, INFORMS Journal on Computing, IEEE
                                                            Transactions on Data and Knowledge Engineering,
                                                            IEEE Transactions on Cybernetics, Knowledge and
                                                            Information Systems and SIGKDD, ICDM, SDM,
                                                            AAAI, IJCAI, UbiComp, IEEE BigData, etc.


Areas of expertise
 – Computational Finance
 – Data Mining
 – Health Informatics
 – Knowledge Management
 – Recommender Systems
 – Sequential Pattern Analysis
 – Social Mining
 – Spatio-temporal Data Analysis
 – Text Mining




KDD 2018 Workshop on Knowledge Discovery and User Modelling for Smart Cities                            Page 6 of 40
August 20, 2018 - London, United Kingdom

Copyright c 2018 for the individual papers by the papers’ authors. Copying permitted for private and
academic purposes. This volume is published and copyrighted by its editors.

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