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Academic Report:Big Data Technology--- Challenges & Application



Lecturer: Ruixuan Li
Time: 10:30, June 17th (Saturday), 2017
Venue: 401 Academic Hall, Information Building, East Campus
About the lecturer: Ruixuan Li, is a professor and doctoral dissertation supervisor at School of Computer Science & Technology, Huazhong University of Science & Technology; Deputy Director of Institute of Parallel Distributed Computing; Director of Intelligent & Distributed Computing Laboratory; a guest researcher at Institute of Information Engineering, Chinese Academy of Sciences; a postdoctoral researcher at the University of Toronto; an adjunct professor at Concordia University; an adjunct senior researcher at University of Western Sydney. He is at present a member of IEEE and ACM, a distinguished member of China Computer Federation, Deputy Director of Technical Committee on Information System, Deputy Director of Technical Committee on Distributed Computing and Processing, a commissioner of Task Force on Big Data, Vice President of Wuhan branch of CCF, President of Wuhan Academic Committee (2013-2014), Director of Hubei Computer Federation, and Deputy Director of expert group on E-government Consultation. At present, he is mainly engaged in the management and analysis of big data, distributed computing and cloud computing, and distributed system security. He has hosted more than 30 programs supported by National Natural Science Foundation, National Key Research & Development Plan, National 863 Program, and so on. He has published more than 200 ACM CCS, ACM SACMAT, USENIX LISA, ICPP, ICDM, TKDE and TCC papers in authoritative journals at home and abroad, and at international conferences. He compiled 2 monographs and textbooks and 3 proceedings. He applied for 18 national invention patents, of which 16 are authorized. He has got 5 computer software copyrights and won Hubei Province Excellent Ph.D. Dissertation and the second prize of Hubei Technical Innovation Award.

About the lecture: Big data is to investigate the generation, acquisition, mining and integration of mass data. We need to quickly acquire and predict the information from mass data that can influence future in the era of big data. In fact, the source of big data is quite broad including satellites in the sky, cars on the ground, various sensors buried in the soil. If the data are used comprehensively, the social and economic value will be incalculable. This report introduces big data mainly from the basic concepts, characteristics and problems, the quintessence and essence, processing technology and challenges, big data application and the influence on the future, which will contribute to people’s understanding of the history, current situation and future of big data.


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