Prof. Rajiv Sabherwal
University of Arkansas, USA
Biodata: Rajiv Sabherwal is Distinguished Professor, Edwin & Karlee Bradberry Chair, and Department Chair of Information Systems in the Walton College of Business at University of Arkansas. He has published on the management, use, and impacts of information technology and knowledge in Information Systems Research, MIS Quarterly, Management Science, Organization Science, Journal of Management Information Systems, and other journals. He has performed numerous editorial and conference leadership roles, including serving as Editor-in-Chief for IEEE Transactions on Engineering Management, Conference Co-Chair for International Conference on Information Systems, Program Co-Chair for Americas Conference on Information Systems, Senior Editor for MIS Quarterly and Journal of AIS, and Special Issue Editor for Information Systems Research. He is a Fellow of IEEE, a Fellow of the Association of Information Systems, and a PhD from University of Pittsburgh.
Prof. Roel Leus
KU Leuven, Belgium
Biodata: Roel Leus holds a Master’s degree (1998) in Business Engineering and a PhD (2003) in Operations Management, both from KU Leuven (Belgium). He is currently Full Professor of Operations Research at the Faculty of Economics and Business of KU Leuven, and from 2012 to 2016 he was also the head of the research group ORSTAT (Operations Research and Business Statistics) at the same university. He is also the program director of KU Leuven’s Business Engineering programs (for all campuses). He has been a visiting researcher at London Business School (UK, 2004) and at LAAS-CNRS Toulouse (France, 2008). His main research interests are sequencing and scheduling, project planning, and planning under uncertainty. Roel Leus has published more than 50 papers in various international journals, and he currently also serves as an associate editor of OR Spectrum and special-issue editor of Journal of Scheduling.
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Prof. Luiz Moutinho
University of Suffolk, UK; The Marketing School, Portugal; University of South Pacific, Fiji
Speech Title: tecHuman: from Heterogeneous / Autonimic / Surface / Cognitive / Quantum Computing... to industry 4.0, HE 2.0, Virtusphere, Robotic telepresence, Augmented Humanity and the Human Algorithm
Abstract: The main thrust of this presentation rests upon the crucial and exponential interrelationship between technology and human beings. The content starts by highlighting the next game changers nations in the world. A number of mega-trends are then analysed- from social trends and the future of mobility to big data and personal robots, among many others. Many facets related to technological convergences and issues like geosocialisation, chatbots and the heterogeneous computing era will be covered. Other computing trends will also be stressed like, autonomic, surface, cognitive and quantum computing. Virtual reality, drones, smart fabrics and the IoT are then explored. An analysis of major facets of Industry 4.0 follows. Higher Education 2.0 is introduced next covering aspects like virtusphere, flexible displays, gesture-based input, robotic telepresence, etc. The presentation ends with considerations about the drive towards augmenting authenticity, the human-technology connection, the human algorithm, the ethical algorithm and augmented humanity.
Biodata: 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. In 2020 he was elected as the member of The Academia Europaea.
He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 31 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, Fiji 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-in-Chief 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 marketing and management futurecast, artificial intelligence, biometrics and neuroscience in marketing, futures research algorithmic self, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling processes of consumer behaviour and tourism futurecast.
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 155 articles published in refereed academic journals, 34 books and 15,579 academic citations, the h-index of 57 and the i10-index of 212 (Google Scholar, Sept. 2020).
Prof. Dimitri Lefebvre
University Le HAVRE, France
Speech Title: Security and safety in industrial engineering: from observation to decision
Abstract: In recent years, the tremendous growth of computer technology has led to the proliferation of highly complex systems in industrial engineering. Cyber-physical systems, Industry 4.0 and Internet of Things are concerned as first. Such systems exhibit behaviors determined by the asynchronous occurrence of certain events and are termed Discrete Event Systems (DES). Examples of DES can be found in many domains of the industrial engineering: automated manufacturing, computer networks, transportation, as well as in emerging areas like healthcare, or management of technical, human and financial resources. The aim of this talk is first to give some basic modeling notions to represent DES in order to address a large variety of problems that may occur in industrial engineering. Some security and safety issues are of particular interest.
The first part of the talk is about models for systems in industrial engineering. From a high level perspective, such systems are studied as DES. Models of DES are mainly derived with mathematical formalisms, automata and Petri nets.
The second part concerns the essential requirements needed to address security and safety issues with automata and Petri nets. Estimation and inference problems are introduced for DES and state estimation problem are discussed.
The third part is about security and privacy. The question, we are interested in, is the following: given a system and its specifications, given a critical information that concerns the states of the system, is it possible, in a certain sense, to keep this information secret for any outside intruder that may capture the observations generated by the system?
The fourth part is about safety and diagnosis. The problem here is more or less the opposite of the previous one and can be formulated as follows: given a system and its specifications, given a set of problematic behaviors that the system may experience, is it possible to extract some guarantees about the occurrence of one of these problematic behaviors with respect to the observations captured from the system operation?
Finally, a list of open questions and future challenges is proposed.
Biodata: Dimitri Lefebvre received the S.B. in Science and Engineering in 1990, the M.Eng. degree in Automatic Control and Computer Science in 1992, and the Ph.D. degree Automatic Control and Computer Science in 1994, all from University of Sciences and Technologies and Ecole Centrale in Lille, France. In 1995, he joined the University of FrancheComté, Belfort, France, where he served as Associate Professor with the Department of Electrical Engineering and the Research Group about Systems and Transportations. Since 2001, he has been with University Le HavreNormandie, France as Professor. He is currently with the Research Group on Electrical Engineering and Automatic Control (GREAH) in Le Havre and was from 2007 to 2012 the head of the group. His current research interests include fault diagnosis and control designfor dynamic systems, discrete event systems, learning processes and artificial intelligence, with applications to network security and safety in the domains ofelectrical engineering, robotics, transportations and logistics. He is the authors of more than 100 articles published in indexed journals and more than 200 communications in international conferences.
Assoc. Prof. Adrian E. Coronado Mondragon
Royal Holloway University of London, UK
Biodata: Adrian E. Coronado Mondragon is Senior Lecturer (associate professor) in Technology and Operations Management at the School of Management, Royal Holloway University of London, UK where he teaches Operations Management at Postgraduate and Undergraduate levels. He holds a PhD from Brunel University, West London, UK. He has teaching experience in the UK, Hong Kong, Singapore, Taiwan and Spain. His research interests cover audit tools for supply chain performance, multimodal logistics, modularity and mass customisation, Internet of Things (IoT) and Big Data in logistics and the use of blockchain technology in the supply chain of composite materials and perishable goods/temperature controlled supply chains. His research work has been funded by the UK’s Engineering and Physical Sciences Research Council (EPSRC), Technology Strategy Board (TSB) and the Chartered Institute of Logistics and Transport (CILT). His most recent work has been published in Computers & Industrial Engineering, Journal of Business Research, International Journal of Production Research, Transportation Research Part A: Policy and Practice and Production Planning & Control.