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Keynote Lectures

Taming Complexity with Self-managed Systems
Danny Menasce, Computer Science, George Mason University, United States

Ontology-based Information Integration
Marie-Christine Rousset, Université Grenoble-Alpes and Institut Universitaire de France, France

How Digital Twins Enable Model Driven Manufacturing
Mike Papazoglou, European Research Institute in Service Science, Tilburg University, Netherlands

Digital Innovation and Future of Knowledge Management
Manlio Del Giudice, University of Rome Link Campus, Italy

 

 

Taming Complexity with Self-managed Systems

Danny Menasce
Computer Science, George Mason University
United States


Brief Bio
Daniel Menasce is a University Professor of Computer Science at George Mason University, VA, USA, where he was Senior Associate Dean of its Volgenau School of Engineering for seven years. He received a PhD in Computer Science in 1978 from the University of California at Los Angeles (UCLA). Menasce is a Fellow of the IEEE and of the ACM, a recipient of the 2017 Outstanding Faculty Award from the Commonwealth of Virginia, the recipient of the 2001 lifetime A.A. Michelson Award from the Computer Measurement Group, as well as the recipient of several outstanding research and outstanding teaching awards. Menasce authored over 270 papers and five books published by Prentice Hall. His research interests include self-managed systems, analytic performance modeling of computer systems, security performance tradeoffs, and software performance engineering.


Abstract
Modern computer information systems are highly complex, networked, have numerous configuration knobs, and operate in environments that are highly dynamic and evolving. Therefore, one cannot expect that configurations established at design-time will meet QoS and other non-functional goals at run-time. For that reason, the design of complex systems needs to incorporate controllers for adapting the system at run time. In this talk I will describe the four properties of self-managed systems: self-configuring, self-optimizing, self-healing, and self-protecting. I will also describe how these properties are enforced by controllers I designed for a variety of domains including cloud computing, fog/cloud computing, internet datacenters, distributed software systems, and database systems.


 

 

Ontology-based Information Integration

Marie-Christine Rousset
Université Grenoble-Alpes and Institut Universitaire de France
France


Brief Bio
Marie-Christine Rousset is a Professor of Computer Science at the University of Grenoble Alpes and senior member of Institut Universitaire de France. Her areas of research are Knowledge Representation, Information Integration, Pattern Mining and the Semantic Web. She has published around 100 refereed international journal articles and conference papers, and participated in several cooperative industry-university projects. She received a best paper award from AAAI in 1996, and has been nominated ECCAI fellow in 2005. She has served in many program committees of international conferences and workshops and in editorial boards of several journals. She is a co-holder of the chaire "Explainable and Responsible AI" within the MIAI Grenoble Institute on AI funded by the French Research program on AI.


Abstract
Providing efficient and high-level services for integrating and querying heterogeneous data sources raises many difficult challenges. Data semantics is probably one of the keys for attacking those challenges in a principled way. A lot of effort has been done in the Semantic Web community for describing the semantics of information through ontologies that provide a conceptual yet computational model of a particular domain of interest. In this talk, I will show how exploiting ontologies on top of data can help to solve several problems raised by modern data-centered applications in which data may be ubiquitous, multi-form, multi-source and multi-scale. I will also show how models and algorithms have evolved to face scalability issues and data quality challenges.


 

 

How Digital Twins Enable Model Driven Manufacturing

Mike Papazoglou
European Research Institute in Service Science, Tilburg University
Netherlands


Brief Bio
Michael P. Papazoglou is a highly acclaimed academic with noteworthy experience in areas of education, research and leadership pertaining to computer science, information systems, industrial engineering and digital manufacturing. He is the executive director of European Research Institute in Service Science and holds the Chair of Computer science at Tilburg University, the Netherlands. He is noted as one of the original promulgators of ‘Service-Oriented Computing’ and was the scientific director of the acclaimed European Network of Excellence in Software Systems and Services (S-CUBE). He is renowned for establishing local ‘pockets of research excellence’ in service science and engineering in several European countries, China, Australia and the UAE. Papazoglou is an author of the most highly cited papers in the area of service engineering and Web services worldwide with a record of publishing 32 (authored and edited) books, and over 200 prestigious peer-refereed papers along with approx. 18,000 citations (H-index factor 53). He holds distinguished/honorary professorships at 11 universities around the globe. He has delivered over 45 keynote addresses since 2000 and chaired 12 prestigious international peer refereed conferences. Papazoglou is the founder and editor-in-charge of the MIT Press book series on Information Systems as well as the founder and editor-in-charge of the new Springer-Verlag book series on Service Science.


Abstract
Industry 4.0 is blurring the lines between the physical, and digital spheres of global production systems. Industry 4.0 sets the foundations for a completely connected factories that are characterized by the digitization and interconnection of supply chains, production equipment and production lines, and the application of the latest advanced digital information technologies to manufacturing activities. The manufacturing paradigm championed by the Industry 4.0 brings together processes, software services and systems, machines, devices, IoT, sensors, valves, actuators, manufacturing systems, and connected digital factories. All these systems have both a digital component and a physical interaction with the real world. The result is a “digital-twin” model of the connected ‘smart’ factory of the future where computer-driven systems create a virtual copy of the physical world and help make decentralized decisions with much higher degree of accuracy.
This talk has dual purpose. It first describes how the concept of digital twins enable a model-based engineering approach that enables a concurrent, collaborative design process where users examine and define requirements, propose solution architectures, demonstrate and exchange ideas with stakeholders, and consider product feature tradeoffs. Subsequently, it proposes a novel programming paradigm and a flexible environment that helps product engineers to develop design-to-production industrial automation solutions by employing structured higher-level modular software techniques.



 

 

Digital Innovation and Future of Knowledge Management

Manlio Del Giudice
University of Rome Link Campus
Italy


Brief Bio
Manlio Del Giudice is Full Professor of Management at the University of Rome “Link Campus”, where he serves as Deputy Chancellor of the Campus of Naples and Director of the CERMES Research Centre. He is among the 20 youngest Full Professors in Italy, in every scientific field. He received a PhD in Management from the University of Milano-Bicocca and he has taught in a wide number of universities worldwide, where he is actually affiliated. He is the Editor-in-Chief of the Journal of Knowledge Management. His researches appeared or are forthcoming in flagship journals like MIS Quarterly, Journal of Organizational Behavior, Journal of World Business, Long Range Planning, Technological Forecasting and Social Change, International Marketing Review, Information Systems Management, Creativity and Innovation Management, Journal of Technology Transfer, International Journal of Human Resource Management, Production Planning and Control, Business Process Management Journal. He is actually serving as Director for Research and Scholarly Relations within the Euromed Research Business Institute. His scholar profile shows about 100 peer-reviewed articles, about 50 of them ranked in the highest “A Class” within the Italian rankings, and 12 international monographs by flagship publishers like Springer, Palgrave Macmillan, Elsevier, Emerald. His studies had been internationally recognized by significant impact, as evidenced by the about 3,400 citations (December, 2018) he has received on Google Scholar (H-index = 26). His main research interests deal with knowledge management, technology transfer, innovation and technology management, cross-cultural management.


Abstract
In recent decades science and technology have brought unexpected improvements to the living conditions along the Triple Helix, with heavy emerging developments into the ICT, health, food and energy fields. The dissemination of information and new technologies sustained by the "Knowledge Society" has progressively stimulated a strong process of transformation thus influencing the working styles and the organizations. As a matter of fact, the result has been a different role of the tangible and intangible assets, which had pushed the knowledge assets to become the real protagonist of the entrepreneurial life. The increasing attention about the emerging challenges and opportunities derived by the Information and Communication Technologies (ICTs) is attracting interest and effort from multiple research domains. Several innovations provided by the ICTs such as 3D printing, virtual markets, and online communication instruments can be considered disruptive changes for both social and economic configurations.These innovations are leading to the digitization of all industrial processes as well as to the integration and interconnection between different aspects of production and between departments and functions indeed. Due to the competitive dynamics, knowledge had been widely recognized as a fundamental asset for organizations. Knowledge is the basis of innovation. Using, managing and sharing knowledge is today one of the most important tasks for the organizations. Consequently, right practices of managing knowledge can affect performance, growth, innovation and competitiveness. This implies that a firm’s focused just on production capacity and cost reduction can only generate a temporary competitive advantage. With the aim to address these challenges, the main contribution of this Keynote Speech is to explore what barriers and opportunities are emerging in digital societies and how Knowledge management could help companies in responding to ongoing changes in the business environment and in improving their competitive advantage.


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