BDIOT 2017 Keynote Speakers
Prof. Luiz Moutinho
Dublin City University, Ireland
Biography: Professor Moutinho is the Professor of BioMarketing and Futures Research (the first Chair in the world in these two scholarly fields) at the DCU Business School, Dublin City University in Ireland. Previously, and for 20 years, he had been appointed to the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland. On 2017 Luiz Moutinho received a degree of Professor Honoris Causa from the University of Tourism and Management Skopje, FY Republic of Macedonia.
He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 28 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 Hubei University, China, Hubei University of Economics, China, Hebei United University, China, University of Vilnius, Lithuania, University of Innsbruck, Austria, Otago University, New Zealand, University of Aarhus, Denmark, Bled School of Management, Slovenia, University of Aveiro, Portugal, Gyor University, Hungary, Feng Chia University, Taiwan, University of Coimbra, Portugal, Technical University of Lisbon, Portugal, FGV-Sao Paulo, Brazil, Catholic University, Brazil, University of Los Andes, Colombia, and University of 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. He is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and has another 4 Associate Editorships as well as being in the Editorial Boards of another 46 international academic journals.
His areas of research interest also 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, marketing futurecast and tourism and marketing. Other primary areas of Professor Moutinho’s academic research are related to modelling processes of consumer behaviour. 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. He has over 140 articles published in refereed academic journals, 30 books, more than 9,000 academic citations, and an h-index of 45 and an i10-index of 147.
Title of Speech: WHERE WERE YOU tomorrow?
From metadata, deep learning, small data, printernet, appcessories, biometry-web and neuro-web…
TO upgradia, mind reading computers, cognitive agents, injectable tech, sensory messaging and tissue engineering…
Abstract: The talk is all about future developments in science , technology and innovation. Big data and automation are covered from the outset. Big data trends are introduced as well as managerial responses to developments with big data. Self-serving analytics and metadata are discussed. Data virtualization and deep learning are then analysed as well and blue mind and small data. The combinatorial Internet of Things, Printernet of Things , Appcessories and the concepts of quantified self and life logging are presented next. Discussion on the Semantic Web, Biometry -Web and NeuroWeb are the next topics to be covered. Many variants of the Internet of Things are then explored-Meaningful Things,Caring Things, Internet of Healthy Things ,Mindful Things, Safety Things, and Family Things . Concepts like upgradia , warming web , blue eyes technology , mind reading computers , cognitive agents, augmented cognitive devices , robotics , injectable tech , sensory messaging and social computing will also be introduced. The morality of innovation and the dangers of technology will be dissected as well as Intelligence and human augmentation exoskeletons ,tissue and genetic engineering.
Prof. Hui Yu
University of Portsmouth, UK
Biography: Hui Yu is a Reader with University of Portsmouth. His main research interest lies in visual computing and big data analysis, particularly in understanding and sensing the visual world human related issues with semantic interpretation. It involves and develops knowledge and technologies in vision, machine learning, virtual reality, brain-computer interaction and robotics. Dr. Yu’s research work has led to many awards and successful collaboration with worldwide institutions and industries. He has done many projects supported by EPSRC, ESRC, Royal Academy of Engineering, EU-FP7 and industries. He has extensive contributions to the international research community with organizing and chairing many international research conferences and summer schools. He is also Associated Editor of IEEE Transactions on Human-Machine Systems journal and Neurocomputing journal.
Title of Speech: Facial Analysis on Wild Data
Abstract: Facial analysis has been an active research field with popular applications. The vast demands and advancement of technologies have enabled a wide range of applications of sensing systems for capturing facial performance and affective states. With the availability of the complex facial data, a large body of research has been conducted in the past decades. However, there are still significant challenges in this area due to new applications and higher accuracy demands. In-the-wild facial data under unconstrained conditions pose a big challenge to existing facial analysis approaches. In this talk, we will address the challenges and some new solutions to facial and gaze analysis on wild data. We will also discuss the fundamental techniques in face frontalization, facial landmark localization and gaze estimation with their applications.
Prof. Xin-She Yang
Middlesex University, UK
Biography: 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 is also listed on the 2016 Thomson Reuters Highly Cited Researchers.
Title of Speech: Nature-Inspired Algorithms For Big Data Applications
Abstract: Nature-inspired algorithms have become effective tools for solving optimization problems concerning engineering designs, data mining and computational intelligence. 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. Victor Chang
Xi’an Jiaotong-Liverpool University, Suzhou, China
Biography: Prof. Victor Chang is an Associate Professor (Reader), Director of PhD and Director of MRes at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University, Suzhou, China, after working as a Senior Lecturer at Leeds Beckett University, UK, for 3.5 years. Within 4 years, he completed Ph.D. (CS, Southampton) and PGCert (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012 and 2015, the 2016 European award: Best Project in Research, Outstanding Young Scientist award in 2017, 2016-2017 SEID Excellent Scholar in Suzhou, Jiangsu of China, 2017 INSTICC Service Award, ICGI 2017 special award on Data Science and numerous awards since 2012. He is widely regarded as a leading expert on Big Data/Cloud/IoT/security. He is a visiting scholar/PhD examiner at several universities, an Editor-in-Chief of IJOCI & OJBD journals, Editor of FGCS, Associate Editor of TII, founding chair of two international workshops and founding Conference Chair of IoTBDS http://www.iotbd.org and COMPLEXIS http://www.complexis.org since Year 2016. He was involved in different projects worth more than £12.5 million in Europe and Asia. He has published 3 books as sole authors and the editor of 2 books on Cloud Computing and related technologies. He has given and will give 15 keynotes at international conferences. He has completed many special issues of top journals, chaired many scholarly events and has been regarded as one of most active and influential young researchers on Data Science in the world.
Title of Speech: Modern Multi-disciplinary Data Science, IoT and Analytics Services in weathers, arts and emerging services
Abstract: Data Science is an interdisciplinary area between computing, mathematics, statistics, analytics, methods, machine learning, data processing and domain expertise. Understanding how to collect, process, analyze, synthesize, visualize and “make sense” of the data is important. Together with IoT, it enables to understand this world and open up so many opportunities.
This keynote presents the latest research outputs for Data Science, IoT and Analytics services in different areas, particularly weather studies, arts and emerging services. In weather studies, apart from displaying different temperature and color codes on the map of different countries, the other work is pressure. Often air pressure is in inverse proportional to the temperature. The change of air pressure in different regions can have direct impacts on the temperatures. Examples of several European countries will be presented with different dates to track changes.
IoT and Data Science processing, analysis and fusion can lead to a new study Data Science in Arts or Computational Arts. In this talk, some examples will be given to illustrate the supernatural powers can be simulated and presented. This creates more dimension and opportunities in arts-science integration. Emerging services such as deep learning (DL) have been hot topics since DL has been demonstrated in more disciplines. In this keynote, some examples in finance can be illustrated. This keynote will present examples on how to resolve real life problems to achieve meaningful research contributions.