Keynote Speakers.

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Title: Green Technology and Sustainability of e-learning in Higher Education
 

Bio

Professor Ezendu Ariwa
Chair, IEEE Technology and Engineering Management Society Chapter, UK  & Ireland
Chair, IEEE Consumer Electronics & Broadcast Technology Chapter, UK & Ireland
Associate Vice Chair, BCS Health & Care Executive
BCS, Committee member for Green IT Specialist Group

 

Professor Ezendu Ariwa is the Chair of IEEE Technology and Engineering Management Society Chapter, United Kingdom & Ireland (UK&I) He is a Senior Member of Institute of Electrical & Electronic Engineers (SMIEE). He holds the position of Director of Planning for International Outreach, at IAMTECH University, Sierra Leone, and Director of Studies (PhD Supervision) at the London School of Commerce (Associate College of Cardiff Metropolitan University, UK).  In addition, he holds the position of Visiting Professor, Gulf University, Bahrain, University of Lagos, Nigeria and Kano State Polytechnics, Nigeria as well as Visiting Professor in Management Sciences and Computer Science at the Karakurum International University, Pakistan; Visiting Affiliate of the Green IT Observatory, RIMT University, Australia and Visiting Affiliate of ICT University, USA.  Professor Ezendu Ariwa is also a Visiting Professor, Engineering Sustainability & ICT  at Anadolu University, Turkey.

He has a good research profile and the Founding Editor-in-Chief of the International Journal of Green Computing (IJGC), Editor-in-Chief of the International Journal of Computing and Digital Systems (IJCDS), Journal of E-Technology, and the Associate Editor of the International Journal of E-Politics and the Associate Editor of International Journal of Distributed Systems and Technologies (IJDST). He is a member of Policy Co-ordination Committee of the International Research Foundation for Development (A Corporation of NGO in special Consultative status with the Economic and Social Council of the United Nations). His research interest includes:  Green Technology and Engineering Management Sustainability, Strategic Systems and Knowledge Management, ICT for Development, Knowledge Transfer in Developing Economy; Open Learning and Social Enterprise, Green Communications and Corporate Social Responsibility, Renewable Energy and Climate Change, Green Technology Sustainability  in Aviation and Maritime.


Title: Recent Developments in Data Science

Muhammad Asif Naeem
Data Science Research Group.
Senior Lecturer in School of Engineering, Computer and Mathematical Sciences,
Auckland University of Technology

Abstract

Data Science is poised to become one of the most intensively researched areas within the Computer Science discipline. The research carried out by me is a cutting edge of new developments in this field. In this talk first I will present an overview of my recent research developments in terms of numerous projects on data science. Second, I will present some challenges in processing of streaming data in one of my projects, real-time data warehousing. For example, how to deal with skewed transactional stream data in real-time data warehousing or how to handle the transactional stream data when its arrival rate is faster than service rate. I will present my solutions that I developed to address these challenges. I will present some experiments which proves the effectiveness of my solutions designed for these challenges.

Bio

Muhammad Asif Naeem is a founder and director of the Data Science Research Group. He is a Senior Lecturer in School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology and Associate Professor in Department of Computer Science, NCBA&E Multan Campus. He received his PhD degree in Computer Science from The University of Auckland and has been awarded a best PhD thesis of the year. Before that he received his Master degree with distinction. He has about twelve years research, industrial and teaching experience. As an outcome of his research, he published one book and more than 30 peer reviewed journals, conferences and workshops papers including in IEEE, ACM, VLDB and Springer. He received best Faculty Teaching Award of 2015 at AUT. He has been reviewing for well-known journals and conferences including ADC, ACSC, and DASFAA in his area. His research areas include Big Data Management, Data Stream Processing, Stream Mining and Analytics, and Real-time Data Warehousing.