Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Managemen
Springer Tracts in Nature-Inspired Computing
James Fong, Simon / C Millham, /
Erschienen am
01.08.2020, Auflage: 1. Auflage
Autorenportrait
Simon Fong graduated from La Trobe University, Australia, with a First-Class Honours B.E. Computer Systems degree and a Ph.D. Computer Science degree in 1993 and 1998, respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a Co-Founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as Systems Engineer, IT Consultant, and E-commerce Director in Australia and Asia. Dr. Fong has published over 500 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the Journal of Network and Computer Applications of Elsevier, IEEE IT Professional Magazine, and various special issues of SCIE-indexed journals. Currently, Simon is chairing a SIG, namely Blockchain for e-Health at IEEE Communication Society. Richard Millham a B.A. (Hons.) from the University of Saskatchewan in Canada, M.Sc. from the University of Abertay in Dundee, Scotland, and a Ph.D. from De Montfort University in Leicester, England. After working in industry in diverse fields for 15 years, he joined academe and he has taught in Scotland, Ghana, South Sudan, and the Bahamas before joining DUT. His research interests include software and data evolution, cloud computing, big data, bio-inspired algorithms, and aspects of IOT.