Smart Data (ePub)

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 Dr. Laurence T. Yang is a professor and W.F. James Research Chair at St. Francis Xavier University, Canada. His research includes parallel and distributed computing, embedded systems/internet of things, ubiquitous/pervasive computing and intelligence, and big data. He has published around 400 international journal papers in the above areas, of which half are on top IEEE/ACM Transactions and Journals, others ar mainly on Elsevier, Springer and Wiley Journals. He has been involved actively act as a steering chair for 10+ IEEE international conferences. Now he is the chair of IEEE CS Technical Committee of Scalable Computing (2018-), the chair of IEEE SMC Technical Committee on Cybermatics (2016-). He is also serving as an editor for many international journals (such as IEEE Systems Journal, IEEE Access, Future Generation of Computer Systems (Elsevier), Information Sciences (Elsevier), Information Fusion (Elsevier), Big Data Research (Elsevier), etc). He is an elected fellow of Canadian Academy of Engineering (CAE) and Engineering Institute of Canada (EIC).


Dr. Zhang is an Assistant Professor at St. Francis Xavier University, Canada. His research interests include big data, machine learning, and smart medicine. He has published more than 20 top international journal papers on the above topics including papers in IEEE Transactions on Computers, IEEE Transactions on Services Computing, ACM Multimedia Computing, Communications and Applications, and so on. He got an IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers in 2018. He served as vice chair of IEEE Canada Atlantic Section CIS/SMC joint chapter (2018-2019). He served as a program chair of IEEE 14th International Conference on Pervasive, Intelligence and Computing (PICom 2016) and IEEE 11th International Conference on Internet of Things (iThings 2018). In addition, he is one of the guest editors of several international journals such as Future Generation Computer Systems, IEEE Access and Wireless Communication and Mobile Computing.