Luiz MoutinhoSuffolk Business School, University of Suffolk, England
Professor Luiz Moutinho (BA, MA, PhD, FCIM) is Visiting Professor of Marketing at Suffolk Business School, Faculty of Arts, Business and Applied Social Science, University of Suffolk, Ipswich, England, Adjunct Professor of Marketing at Graduate School of Business, University of the South Pacific, Suva, Fiji, and Visiting Professor of Marketing at Universidade Europeia and the Marketing School, Portugal. During 2015 - 2017 he was professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland. In 2017 Luiz Moutinho received a degree of Professor Honoris Causa from the University of Tourism and Management Skopje, FYR of Macedonia. He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 29 years and held posts at Cardiff Business School, University of Wales College of Cardiff, Cleveland State University, Ohio, USA, Northern Arizona University, USA and California State University, USA. He has held Visiting Professorship positions at numerous universities in China, Lithuania, Austria, New Zealand, Denmark, Slovenia, Portugal, Hungary, Taiwan, Brazil, Colombia and Cyprus. Between 1987 and 1989 he was the Director of the Doctoral Programmes at the Confederation of Scottish Business Schools and at the Cardiff Business School between 1993 and 1996. He was Director of the Doctoral Programme in Management at the University of Glasgow between 1996 and 2004. Professor Moutinho is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and co-editor of the Innovative Marketing Journal. He has another 4 Associate Editorships as well as being in the Editorial Boards of another 47 international academic journals. His areas of research interest encompass bio-marketing, neuroscience in marketing, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling consumer behaviour, futures research, marketing futurecast and tourism and marketing. Other primary areas of Professor Moutinho's academic research are related to modelling processes of consumer behaviour. Currently, he is Program Designer and Faculty Member at Neuroscience Ltd. (Neuroscience - Academic and Business Solutions). He has developed a number of conceptual models over the years in areas such as tourism destination decision processes, automated banking, supermarket patronage, among other areas. The testing of these research models has been based on the application of many different statistical, computer and mathematical modelling techniques ranging from multidimensional scaling, multinomial logit generalised linear models (GLMs) and linear structural relations to neural networks, ordered probit, simulated annealing, tabu search, genetic algorithms, memetic algorithms and fuzzy logic. Professor Moutinho has over 150 articles published in refereed academic journals, 32 books and more than 10,800 academic citations, a h-index of 49 and an i10-index of 156 (by the end of 2017).
Title: "Relentless and Unstoppable Techno Future"
Xin-She YangMiddlesex University, UK
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. Now he is Reader in Modelling and Optimization at Middlesex University, an elected Bye-Fellow at Cambridge University and Adjunct Professor at Reykjavik University (Iceland). He is the Chair of the IEEE CIS Task Force on Business Intelligence and Knowledge Management. He has given many keynote talks at over 20 international conferences such as IEEE Mendel'12 (Czech Republic), BIOMA'12 (Slovenia), EU/ME'14 (Turkey), ICCS'15 (Iceland), SIBGRAPI'15 (Brazil), OIPE'16 (Italy), ISCBI'16 (Switzerland), BDIOT'17 (UK) and HS'17 (Spain). He has published more than 200 articles in peer-reviewed journals and 20 books with over 26000 academic citations. He is on the prestigious list of both 2016 and 2017 Clarivate Analytics/Thomson Reuters Highly Cited Researchers.
Title: "Optimization and Algorithms -- Inspiration from Nature"
Abstract: Algorithms inspired by Nature have become effective tools for solving challenging optimization problems concerning engineering designs, data mining, computational intelligence and industrial applications. Algorithms based on characteristics of ants, bats, bees, birds, cuckoos, fireflies and others have demonstrated their flexibility and effectiveness. However, many challenging issues still exist. This talk highlights some of the recent developments, applications, key issues and future research directions.
Hui YuUniversity of Portsmouth,UK
Dr Yu is a Reader in the School of Creative Technologies. He previously held an appointment with the University of Glasgow. He has won prizes for his study and research include Excellent Undergraduate Prize (provincial level), the Best PhD Thesis Prize, EPSRC DHPA Awards (PhD) and Vice Chancellor Travel Prize. Dr Yu is an Associate Editor of IEEE Transactions on Human-Machine Systems. He is a member of the Peer Review College, the Engineering and Physical Sciences Research Council (EPSRC), UK.
Farid MezianeUniversity of Salford, UK
Professor Farid Meziane obtained a PhD in Computer Science from the University of Salford on his work on producing formal specification from Natural Language requirements. He is currently holding a chair in Data and Knowledge Engineering and is the director of the informatics research centre at the University of Salford, UK. He has authored over 100 scientific papers and participated in many national and international research projects. He is the co-chair of the international conference on application of Natural Language to information systems and in the programme committee of over ten international conferences and in the editorial board of three international journals. He was awarded the Highly Commended Award from the Literati Club, 2001 for his paper on Intelligent Systems in Manufacturing: Current Development and Future Prospects. His research expertise includes Natural Language processing, semantic computing, data mining and big data and knowledge Engineering.
Abd-El-Kader SahraouiUniversity of Toulouse, France
Professor since 1994, Graduated respectively from Manchester University (UK) and Toulouse University (F). Industrial experience and Academic position at UC Berkeley, UC Irvine (USA) , HPI Berlin. Organised Training in software systems engineering for industry mainly on standards Systems. Published about 150 documents papers contract and supervised about 20 PHD and 50 masters thesis. Consultant on sofware systems engineering and associated standards to many big companies in defense , industrial and aeronautic companies