CRISTINA SANDOVAL ALONSO (Programme Officer - Technologies and Systems for Digitising Industry, DG-CNET at European Commission, Belgium)
Presentation: Boosting Artificial Intelligence in the European Union
In April 2018, the European Commission published its Communication on Artificial Intelligence for Europe. The European Union should have a coordinated approach to make the most of the opportunities offered by AI and to address the new challenges that it brings. This presentation will show the actions taken to boost the EU's technological and industrial capacity and AI uptake across the economy, both by the private and public sectors. This includes investments in research and innovation and better access to data. Particular attention will be given to the use of artificial intelligence in the manufacturing sector. The presentation will give an outlook on future research actions in the domain, both in the near future and beyond 2020.
MARINA RANGA (European Commission's Joint Research Centre)
BIO: Dr. Marina Ranga works with the European Commission's Joint Research Centre in Seville, Spain, where she focuses on regional innovation ecosystems and smart specialization. Prior to that, she held an academic positions at Stanford university, as Senior Research at the H-STAR Institute and faculty Research Fellow at Clayman Institute for Gender Research (2009-2015). Dr. Ranga also held academic positions in Europe, at Newcastle University Business School and Groningen University (2005-2009), University of Warsaw School of Management and Sussex University School of Business, Management and Economics, UK (2009-2011).
Her main areas of expertise include: National and regional innovation ecosystems; Regional innovation and smart specialisation; The Entrepreneurial University, University-Industry cooperation, Technology transfer and research commercialization; Gender in innovation, technology and entrepreneurship. In these areas, she developed an extensive research portfolio and publication record, including over 60 book chapters, articles in top-tier journals, research and consultancy reports. Dr. Ranga's latest book "Technology, Commercialization and Gender: A Global Perspective" has been recently released by Springer. She guest-edited four journal Special Issues on various innovation and entrepreneurship-related themes, serves in four journal Editorial Boards and is a reviewer for over 20 journal.
conducted extensive consultancy and advisory work on innovation and technology
for the European Commission, UN, national and regional government innovation
agencies. She chaired the European Commission’s Advisory Group on H2020
“Spreading Excellence and Widening Participation” and is a member of the UN-ECE
Team of Experts on Innovation and Competitiveness Policy since 2007. She is
also a member of the International Advisory Board of the Accreditation Council
for Entrepreneurial and Engaged Universities and of the Scientific Board of the
University-Industry Innovation Network UIIN.
Presentation: Ways in which S3 Encourages Technological Diversification and Modernisation
Dr. OSCAR LAZARO (Managing Director of Innovalia Association)
BIO: Oscar Lazaro is Managing Director of Innovalia Association, the Associated Research Lab founded by the Innovalia Alliance, one of the 3 strategic technology groups in the Basque Country. Innovalia develops technology in the fields of E2E cybersecurity (chip to cloud), quality assurance for high performance IoT/CPS systems, mobile 3D visualisation and big data analytics. Innovalia develops manufacturing quality control instrumentation, quality control software platforms for industry 4.0 and integrated solutions for zero defect manufacturing in automotive, aeronautics, railways and renewable energy markets.
Oscar Lazaro has more than 20 years of experience in the ICT and manufacturing field. Oscar Lazaro is also Visiting Professor at the Electrical and Electronic Engineering Department of the University of Strathclyde in the area of wireless & mobile communications. He is permanent representative of Innovalia in EFFRA and he has also served to the Future Internet Advisory Board and the Sherpa Group on 5G Action Plan.
Dr Oscar Lazaro has been one of the 3 expert in the high level group supporting the EC in the analysis of the 15 national initiatives in Digitising European Industry (DEI), he is supporting the activities of the I4MS (ICT Innovation for Manufacturing SMEs) Programme since its very beginning and leads the I4MS Competence Centre for Advanced Quality Control Services in Zero Defect Manufacturing at the Automotive Intelligence Centre DIH in the Basque Country. He is also part of the Industry 4.0 Domain Committee of the FIWARE Foundation and regular contributor to the activities of the Industria Conectada 4.0 DIH and Platform working groups. Since, January 2018 he is coordinating the European lighthouse initiative BOOST 4.0 on Big Data Platforms for Industry 4.0.
Presentation: Towards human-centric autonomous manufacturing: Reference architectures, industrial platforms, cognitive algorithms and data-driven digital operations
Markets, business models, manufacturing processes and other challenges along the value chain are all changing at an increasing speed in an increasingly interconnected world where new opportunities and threats appear constantly. Some of the drivers behind these changes are so-called megatrends, which result in far-reaching processes of transformation across regions and industries. Some of these major driving trends can be identified at the intersection of the Internet of Things, Industry 4.0 Applications and general Cyber-Physical Systems (CPS). Regarding the growing dynamics and these major driving trends, the planning and control of production systems has become increasingly complex regarding flexibility and productivity as well as the decreasing predictability of processes. It is well accepted that every production system should pursue the following three main objectives: (1) providing capability for rapid responsiveness, (2) enhancement of product quality and (3) production at low cost. On the one hand, these requirements can be satisfied through highly stable and repeatable processes with the support of traditional automation pyramids. On the other hand, these requirements can be achieved by creating short response times to deviations in the production system, the production process or the configuration of the product in coherence to overall performance targets. In order to obtain short response times, a high process transparency and the reliable provisioning of the required information to the point of need at the correct time and without human intervention is essential.
However, the success of those adaptive and responsive production systems highly depends on real-time and operation-synchronous information from the production system, the production process and the individual product. Nevertheless, it can be stated, that the concept of fully automated production systems is no longer a viable vision, as it has been shown, that the conventional automation is not able to deal with the ever-rising complexity of modern production systems that need to respond to high-mix low volume manufacturing specnarios. Especially, a high reactivity, agility and adaptability that is required by modern production systems, can only be reached by human operators with their immense cognitive capabilities, which enable them to react to unpredictable situations, to plan their further actions, to learn and to gain experience and to communicate with others. Thus, new concepts are required, that apply these cognitive principles to support autonomy in the planning processes and control systems of production systems.
The keynote will review the most recent European efforts to align key reference architectures for the Factory 4.0 and discuss on the challenges and European lighthouse initiatives to leverage data-driven operations across open digital shopfloors gradually adopting an increasing number of industrial manufacturing platforms to facilitate manufacturing operations based on cognitive algorithms powered by strong big data techniques, machine learning and AI in the context of CPPS (Cyber Physical Production Systems), characterized by increased mobility, collaboration across humans, robots and products and with in-built plug & produce capabilities.
NENAD IVEZIC (Principal Researcher at the National Institute of Standards and Technology)
BIO: Dr. Ivezic serves as a principal investigator for advanced technologies in systems integration, standardization, and testing. Some of the recent projects he led include Supplier Discovery in Dynamically-Formed Supply Chains, Smart Manufacturing Reference Architecture, and Service-Oriented Architectures for Smart Manufacturing.
He has developed testing methods and standards for material replenishment and logistics processes at the Automotive Industry Action Group (AIAG). He is a two-time recipient (2006 and 2007) of the AIAG Outstanding Achievement Award. Nenad has been leading development of standards & testing methods at the Open Applications Group Inc.(OAGi).He is a recipient (2013) of the OAGi Outstanding Contributor Award.He is also a recipient of NIST Bronze Medal Award for a software tool that advances data standards to support advanced manufacturing.
Before joining NIST, he was a Senior Researcher at Oak Ridge National Laboratory, where he was awarded three patents for his work on advanced manufacturing methods. He graduated from University of Belgrade and received MS and PhD degrees in Computer Aided Engineering from the Civil & Environmental Engineering Department of Carnegie Mellon University.
FRANCISCO DUARTE (Coordinator of Industry 4.0 for Bosch entities in Spain and Portugal - Bosch Group Spain and Portugal)
BIO: Francisco Duarte holds a PhD degree from U. Minho in Software Engineering/Information Systems, and a DEng and a MSc in Informatics, also from U.Minho.
Currently, he is the coordinator for Industry 4.0 at Bosch Car Multimedia Portugal (Braga) and also for all Bosch entities in Portugal and Spain.
He is the representative of Bosch in the strategic committee of “Indústria 4.0” initiative by the Portuguese government. He is a member of the directive board of the PhD programme in Advanced Engineering Systems for Industry. Since 12 years, he is an invited professor at U. Minho with teaching responsibilities in software development and software development processes. In the past, he was responsible for information systems management, software development, automotive customer assistance, warranty laboratories, audits, project management, and lean manufacturing.
GUY DOUMEINGTS (Emeritus Professor at Bordeuax University, France)
General Manager of INTEROP-VLAB, International Virtual Laboratory for Enterprise Interoperability
BIO: Guy DOUMEINGTS is Emeritus Professor of Bordeaux University in which he has developed his career after an initial period as Engineer in Aerospace industry. He belongs to the Laboratory IMS. He is specialist in Enterprise Modelling, Enterprise Interoperability, Enterprise Systems Applications, Performance Indicators Systems and one of the authors of the GRAI Methodology.
He is the former President of the Technical Committee N°5 "Information Technology Applications" of IFIP (International Federation for Information Processing) and the creator of the Working Group 5.8 “Enterprise Interoperability”. He published more than 300 papers in his competence domains and managed more than 30 research and industrial projects.
Presently, Guy Doumeingts is General Manager of INTEROP-VLab aisbl, the International Virtual Laboratory for Enterprise Interoperability with 56 partners and 200 researchers and Engineers located in 11 countries in Europe and in China.
ROBERT BIERWOLF (IEEE Senior member, TEMS AdCom member)
BIO: Robert is VP Conferences for IEEE Technology & Engineering Management Society (TEMS). And Chair for the IEEE TEMS Benelux Section Chapter as well as member of other bodies such as IPMA, INCOSE, KIVI, KNVI.
Robert has some thirty years of experience in providing professional interim-, program- and project management services to typical large client organizations (e.g. KPN, Cincinnati Bell, Philips) in various sectors (e.g. Public, Telecom, Automotive, Infra) and is founder of MBBI bv. Currently, Robert is pursuing a PhD around the theme of “Towards Project Management 2030”.
PAULO CORTEZ (Assoc. Prof. University of Minho; Machine Learning EPMQ Senior Researcher, CCG)
BIO: Paulo Cortez (Habilitation, PhD) is Associate Professor at the Department of Information Systems, University of Minho. He is also assistant director of the ALGORITMI R&D centre, coordinator of its Information Systems and Technologies (IST) research group, and Machine Learning Senior Researcher at the Engineering Process Maturity and Quality (EPMQ) domain of the Computer Graphics Centre (CCG).
He researches in Decision Support Systems, Machine Learning and Metaheuristics. His research has appeared in Journal of Heuristics, Decision Support Systems, Information Sciences, Neurocomputing and others (see http://www3.dsi.uminho.pt/pcortez). From 2012 to 2015, he was Vice-president of the Portuguese Association for Artificial Intelligence (www.appia.pt). In 2014, he authored the book “Modern Optimization with R”, published by Springer. He also participated in more than 13 R&D projects involving Intelligent Systems.
He is currently Associate Editor of the journals Decision Support Systems (Elsevier) and Expert Systems (Wiley).
MARIBEL YASMINA SANTOS (Assoc. Prof. University of Minho; Senior Researcher ALGORITMI Research Centre/Computer Graphics Centre)
BIO: Maribel Yasmina Santos is an Associate Professor at the Department of Information Systems, University of Minho, Portugal, where she is also a Senior Researcher at the ALGORITMI Research Centre and at the Engineering Process Maturity and Quality (EPMQ) domain of the Computer Graphics Centre. She was the Secretary-General of the Association of Geographic Information Laboratories for Europe (www.agile-online.org) from May 2013 to June 2015 and Associate Director of the Department of Information Systems, University of Minho, from May 2010 to July 2014.
Currently, she is the leader of the Software Engineering and Management Group at the ALGORITMI Research Centre (algoritmi.uminho.pt). Her research interests include Business Intelligence and Analytics, Big Data Analytics, (Big) Data Warehousing and On-Line Analytical Processing. She participated in more than 20 research projects working with data systems and ways to enhance data analytics for decision support.