Prof. Luiz Moutinho

Suffolk 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).

Prof. Xin-She Yang

Middlesex 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.


Assoc. Prof. Alexandra I. Cristea

Warwick University, UK

Dr. Cristea is Associate Professor (Reader), Coordinator and Co-founder of the Intelligent and Adaptive Systems group. She recently finished her term as the Chair of the Graduate Studies Committee of the Faculty of Science and Director of Graduate Research. Her research includes user modelling and personalisation, semantic web, social web, authoring, with over 250 papers on these subjects (over 3300 citations on Google Scholar, h-index 28). Especially, her work on frameworks for adaptive systems has influenced many researchers and is highly cited (with the top paper with 221 citations and growing). Similarly influential is her pioneering work on adaptation languages, Dr. Cristea being one of the first to propose them (with the top paper with 175 citations and growing). Since then, work in these new research areas has spread. She is within the top 50 researchers in the world in the area of educational computer-based research according to Microsoft Research. Dr. Cristea has been highly active and has an influential role in international research projects. She is experienced in running research projects and has led various projects - Newton funded workshop on Higher Education for All ('14-'18), Santander funded Education for disadvantaged pupils ('14-18'), Warwick-funded project APLIC ('11-;12), EU Minerva projects ALS (06-09) and EU Minerva ADAPT ('02-'05); as well as participated as university PI in several EU FP7 projects - BLOGFOREVER ('11-'13), GRAPPLE ('08- '11), PROLEARN ('07) and as co-PI in the Warwick-funded Engaging Young People with Assistance Technologies ('13-'15) also featured by the BBC. She has been organizer of workshops, co-organizer, panelist and program committee member of various conferences in her research field (including, for example, UMAP, ED-MEDIA, Hypertext, Adaptive Hypermedia, ICCE, ICAI). She is executive peer reviewer of the IEEE LTTF Education Technology and Society Journal and she is co-editor of the Advanced Technologies and Learning Journal. She has given keynote and invited talks in various countries, e.g., Brazil, UK, Netherlands, Spain, Japan, Finland, Romania, etc. She acted as UNESCO expert for adaptive web-based education at a high-level (Ministry of Education and Educational institutes) meeting of East European countries, as well as EU expert for H2020, FP7, FP6, eContentPlus. She is a BCS fellow, a HEA fellow, IEEE Senior Member and IEEE CS member.

Prof. Paolo Terenziani

Università 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).