Keynote Speaker I

Prof. Rajiv Sabherwal
University of Arkansas, USA
(IEEE Fellow)

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.


Keynote Speaker II

Prof. Luiz Moutinho
University of Suffolk, UK; The Marketing School, Portugal; University of South Pacific, Fiji

Title: Artificial Intelligence, Deep Learning & Robot Paradise
The presentation starts with an overview of the evolution of computation and a discussion of realms of applicability of artificial intelligence. Cognitive Systems will also be highlighted. Big data issues will also be covered including Cognitive Computing. A comprehensive discussion of Deep Learning will follow including convolutional neural networks and the smart network convergence theory. Polanyi´s Paradox, automation and the world of robotics are also presented. The dyad minds and machines, natural language interaction and haptic technology are also uncovered.

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...... Prof. 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). (Getting more)

Keynote Speaker III

Prof. Dimitri Lefebvre
University Le HAVRE, France

Title: From Observation to Inference: A Discrete Event Systems Perspective
Abstract: In recent years, the tremendous growth of computer and information sciences has led to the proliferation of advanced cyber-physical systems, in particular in Industry 4.0 and Internet of Things. Such systems exhibit complex behaviors determined by the asynchronous occurrence of certain events. Examples can be found in many application domains, such as automated manufacturing, computer networks, transportation, but also healthcare, management of technical, human and financial resources.
The aim of this talk is to introduce basic concepts and tools to represent cyber-physical systems in order to address a large variety of decision making problems from a high level abstraction of the actual system. Discrete event systems (DES) will be presented for modeling and formalization purposes. Then, measurement and observation will be introduced in this paradigm. Finally, inference and decision making will be discussed. Starting from the usual logical setting this lecture aims to propose some recent improvements for the timed and stochastic setting.
A set of application examples illustrate the concepts and a list of open questions and future challenges conclude the lecture.

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.

speakers in 2023 to be announced soon......

Invite Speaker I

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.