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.
John MacIntyreUniversity of Sunderland, UK
I have worked at the University of Sunderland since 1992, having graduated from the University with a First Class Honours Degree in Combined Science (Computer Science and Physiology). I then went on to complete a PhD in applied artificial intelligence, focussing on the use of neural networks in predictive maintenance, which was awarded in 1996. During the 1990s I established a research centre – the Centre for Adaptive Systems – at the University, which became recognised by the UK government as a Centre of Excellence for applied research in adaptive computing and artificial intelligence. The Centre undertook many projects working with and for external organisations in industry, science and academia, and for three years ran the Smart Software for Decision Makers programme on behalf of the Department of Trade and Industry. I have successfully supervised in PhDs in fields ranging from neural networks, hybrid systems, and bioinformatics through to lean manufacturing, predictive maintenance, and business and maintenance strategies. I went on to become Associate Dean, and then Dean, of the School of Computing and Technology, covering Computer Science and Engineering; in 2008 I became the Dean of the Faculty of Applied Science, and in 2010 Pro Vice Chancellor of the University. I am, and have, been a member of many regional, national and international organisations linked to my own research or professional areas, or on behalf of the University. Since 1996 I have been the Editor-in-Chief of Neural Computing & Applications, an international scientific peer reviewed journal published by Springer Verlag. Prior to entering academia I worked in industry including several years working overseas on major civil and structural engineering projects, developing and implementing new computerised planning systems.
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.
Paolo TerenzianiUniversità del Piemonte Orientale, Italy
Since 2000, Paolo Terenziani is Full Professor at the Institute of Computer Science of DISIT, Università del Piemonte Orientale, Alessandria, Italy. The research activity of Paolo Terenziani has begun in 1987 and it concerns mainly the field of Artificial Intelligence, and specifically the areas of knowledge representation and automatic reasoning (with particular attention to representation and reasoning with temporal constraints), the fields of Temporal Databases and of Medical Informatics. Regarding these topics Paolo Terenziani has published more than 150 papers in peer-reviewed international journals, books, conference proceedings and workshops (in particular, he has achieved ten publications on the IEEE Transactions of Knowledge and Data Engineering in the last five years). Since 1997, Paolo Terenziani leads the GLARE project, in collaboration with the hospital San Giovanni Battista in Turin, for developing a prototype of a domain-independent software system for the acquisition, representation and execution of clinical guidelines. Since 2015 Paolo Terenziani is in the board of AIME (Artificial Intelligence in Medicine Europe). As early as in 1998, for his research activity, he won the “Artificial Intelligence Prize” from Italian Association for Artificial Intelligence. He has won “distinguished\best” paper awards in several international conferences, including AMIA 2012, Chicago, USA, November 2012 (more than 1000 submissions).