Prof. Irwin King
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With the pervasive electronic access readily available, the e-Era has brought on new paradigms in e-government, e-commerce, e-health, e-learning, etc. In recent years, the emergence of social computing has further expanded this e-paradigm with new approaches and techniques on how we process social media data. It is not difficult to see how social computing as a natural extension that builds on the e-paradigm scaffolding that promotes social interactivity. However, what does this new social interactivity bring us? The talk outlines some novel research work and applications in social computing in the e-Era. It will also reflects on some obvious and also subtle aspects of social computing with a few of our work that further illustrate how social media influence our everyday life and impact our society.
Biosketch:
Prof. Irwin King is considered as one of the early pioneers in the field of Social Computing. His research interests include social computing, machine learning, web intelligence, data mining, and multimedia information processing. In these research areas, he has over 210 technical publications in journals and conferences. In addition, he has contributed over 30 book chapters and edited volumes. Moreover, Prof. King has over 30 research and applied grants. One notable patented system he has developed is the VeriGuide System, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese to promote academic integrity and honesty.
Prof. King is the Book Series Editor for “Social Media and Social Computing” with Taylor and Francis (CRC Press). He is also an Associate Editor of the ACM Transactions on Knowledge Discovery from Data (ACM TKDD) and a former Associate Editor of the IEEE Transactions on Neural Networks (TNN). He is a member of the Editorial Board and Special Issue Guest Editor for a number of international journals. He is a senior member of IEEE and a member of ACM, International Neural Network Society (INNS), and Asian Pacific Neural Network Assembly (APNNA). He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA. He also serves INNS as the Vice-President for Membership in the Board of Governors.
Prof. King is Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles. Recently, Prof. King was on leave with AT&T Labs Research and also taught Social Computing and Data mining courses at UC Berkeley.
http://www.irwinking.com