Discovering and Investigating Cyberpatterns - The Road Map to Link Data Analytics with Reusable Knowledge

     Monday, June 24, 2019

Speaker: Hong Zhu , Professor, Oxford Brookes University, UK

Abstract:  One of the most compelling challenges for data analytics is to obtain reusable, verifiable, and transferable knowledge from data. A solution to this is the pattern-oriented approach to knowledge representation. The foundation of this approach is a formal theory of patterns, including a formal language for defining them, and an algebra of operations for composing patterns and instantiating them. This talk outlines a road map for the study of so-called cyberpatterns: the patterns of cyberspace. It explores the scope of research, views the current state of the art, and identifies the key research questions.

Short Bio: Professor Hong Zhu chairs the Applied Formal Methods Research Group of the School of Engineering, Computing and Mathematics, Oxford Brookes University, UK. He is a member of British Computer Society, ACM, and a senior member of IEEE Computer Society. His research interests are in the area of software engineering including software development methodology, software testing, agent technology, automated software development tools, etc. Professor Hong Zhu won a number of prizes in China for his research works, which include the Premiers Award of Distinguished Young Scientists in China awarded by the National Natural Science Foundation of China (杰出青年基金) in 1996, and Chang Jiang Scholar Professorship by the Ministry of Education of China (长江学者特聘教授) in 2000.