报告题目：Trustworthy Modelling and Prediction based on Big Dat
报告日期及时间：2016年07月01日上午10:30
报告地点： E300
报告人：Prof. Fatos Xhafa
报告人单位：University of Catalonia
报告人简介： Fatos Xhafa received his PhD in Computer Science in 1998 from the Department of Computer Science of the Technical University of Catalonia (UPC), Barcelona, Spain. Currently, he holds a permanent position of Professor Titular at UPC, BarcelonaTech. He was a Visiting Professor at Birkbeck College, University of London (UK) during academic year 2009-2010 and Research Associate at Drexel University, Philadelphia (USA) during academic term 2004/2005. Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters and edited books and proceedings in the field (http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos). He is awarded teaching and research merits by Spanish Ministry of Science and Education, by IEEE conference and best paper awards. Prof. Xhafa has an extensive editorial and reviewing service. He is editor in Chief of International Journal of Grid and Utility Computing and International Journal of Space-based and Situated Computing from Inderscience and member of EB of several International Journals and Guest Editors of Special Issues. He is Editor in Chief of the Elsevier Book Series Intelligent Data-Centric Systems and of Springer Lecture Notes in Data Engineering and Communication Systems. Prof Xhafa is actively participating in the organization of several international conferences and workshops. He is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Founder Member of Emerging Technical Subcommittee of Internet of Things.
His research interests include parallel and distributed algorithms, massive data processing and collective intelligence, optimization, networking, P2P and Cloud computing, security and trustworthy computing, machine learning and data mining, among others. He can be reached at fatos@cs.upc.edu and more information can be found at http://www.cs.upc.edu/~fatos/
报告摘要：With the fast development in Internet and Mobile technologies, Virtual Campuses of Open Universities that offer online distance teaching and learning are increasingly becoming important players in the university teaching and learning arena. Among the various challenges to be faced by Virtual Campuses there are concerns about security, student data privacy and confidentiality, but also about trust on students activities.
In this talk we will present some recent finding on using trustworthy computing to enhance security in Virtual Campuses. To that end, we explore massive processing of BigData through MapReduce Hadoop to build trustworthy models of students along online courses. The trustworthy model can be used to identify anomaly behaviour of students online and also to predict their behaviour so that teachers and instructors can act accordingly. We have applied our model to the Virtual Campus of Open University of Catalonia (Barcelona, Spain), which is among largest fully virtual Open Universities in Europe with more than 50.000 students. We will present some real figures from the study using real large data sets of the Virtual Campus.
We will end the talk by a discussions on the challenges of building reliable trustworthy models and their usefulness in many application areas.
邀请人： 何德彪 副教授
