Plenary Speakers

Abstract: Digitalization and Virtualization of Engineering is continuously evolving. The discipline of Virtual Product Creation has to ensure that Engineers, Planners and Managers follow a robust framework within industrial value creation to cope with the complex set of digital methods, processes and prototyping capabilities whilst delivering new business deliveries in the context of growing sustainability constraints. This keynote lecture will provide an insight to the actual status of Virtual Product Creation (both in academia and industry), its unused opportunities and flaws as well as the new evolving solution elements of the future. In addition, the keynote lecture addresses open research objectives and new ways of accelerating the innovations for the future. The target audience consists of active researchers in academia, experts and leaders from industry and digital technology providers as well as innovative start-up companies.

Biography: Prof. Dr.-Ing. Rainer Stark is the Director of the Chair for Industrial Information Technology at TU Berlin, Germany. He was the Director of the Department for Virtual Product Creation of the Fraunhofer Institute for Production Systems and Design Technology (2008-2021). He is a member of the German Academy of Technical Sciences (acatech), a member of the scientific society WiGeP (Scientific Society for Product Development), the Design Society, and a member of the Research Board Industrie 4.0. Prof. Stark is a member of the CIRP (The International Academy for Production Engineering) and serves as the chair of CIRP STC DN.

Biography: Philippe Laufer became Executive Vice-President 3DS Global Brands, with responsibility for all Dassault Systèmes Brands, in December 2019.
Prior to that, he was appointed CATIA VP R&D in 2006 and became CEO CATIA in 2012. His contribution has been crucial to invent and develop the new CATIA on the 3DEXPERIENCE. He is unanimously recognized by our partners and customers as the leader to deliver on CATIA’s new promise, “Shape the World We Live In”, and to carry on the transformation from design thinking to experience thinking thanks to the 3DEXPERIENCE platform. His deep knowledge of the industry has driven many major successful deployments. Philippe also directed all 3D design-related roles for Dassault Systèmes.
Philippe began his career at Dassault Systèmes in 1985 with initial focus on design and manufacturing. After spending two years in Seattle to lay the foundations of the Boeing 777 program, Philippe managed Dassault Systèmes’ Automotive Competency Center making our solutions the quasi-de facto industry standard.
Through these experiences, Philippe acquired deep knowledge of industries and customers’ business processes. He leveraged this expertise to manage the research and development of Dassault Systèmes’ shape design and styling solutions and drove these solutions to undisputed leadership.
Philippe earned a degree in mechanical engineering from the “Ecole Centrale de Nantes” in 1983 followed by a Masters degree in production automation from the “Ecole Nationale Supérieure des Techniques Avancées“ in 1984 and has a PHD in Systems Engineering.
Within and outside his job, he likes climbing unreachable mountains.

Biography: Patrick Johnson is SrVP Corporate Research & Sciences with the mission to define the scientific bases of the company’s solutions and invent new disruptive technologies for the Industry Renaissance. He held various positions in R&D, from virtual product design for the CATIA brand to head of the Artifical Intelligence department where he played an instrumental role with new engineering practices now adopted in multiple sectors, such as intelligent morphing templates, and industrial processes capitalization & reuse automation.
Head of Corporate Research in 2004, he launched the development of multiple original technologies for all brands, resulting in key innovative products and patents and significantly grew the global innovation ecosystem promoting the creation of public/private partnerships with prestigious research institutes and organizations.
In addition, he launched an entirely new sector of diversification for 3DS with a large research program for the pharmaceutical industries, the creation of the BIOVIA brand and the acquisitions of key players with worldwide R&D labs in modeling, simulation, big data and clinical trials, thus enabling the first end-to-end scientific and business platform for Lifesciences.
A graduate of ENSAE, Mr. Johnson is based at 3DS world headquarters near Paris. He is or has been a member of the French National Academy of Technology as well as of the scientific boards of INRIA, IMT, ARISS, International Society of Computational Biology, IRCAM, Comité de Culture Mathematics of the Institut Henri Poincaré, and Associate Personality of the Economic, Social and Environmental Council (CESE).

Abstract: Digital twins are resources for both design/development and operations/maintenance. These resources support situational awareness, decision-making, and action. They provide digital simulation models of the physical systems they represent, throughout the life cycle of these systems. The keynote will focus on the recent evolution of HSI (Human Systems Integration), and the empowerment of socio-technical systems in various domains, including aeronautics and space (design of the A380, the manned lunar rover, a rocket launch room, the future air combat system [FCAS]), mobile telerobotic systems (design of a fleet of robots for the remote management of an offshore drilling platform), and helicopter engine maintenance (situational awareness, fault diagnosis, problem-solving, decision making).
The digital twin is designed as an extension of models used in model-based systems engineering (MBSE). An approach will be presetned in which it is possible to document the design process and the solutions developed (and those not chosen). The digital twin is thus seen as active documentation both to represent, simulate, and communicate on the physical system to which it is associated and the repository of the history of the designed versions (allowing traceability).
I will talk about the evolution of the MBSE, somewhat rigid, towards a more flexible MBHSI, allowing the progressive (agile) integration of emerging functions and structures of the evolving system (during its entire life cycle). If MBSE can be based on task analyses (thus considering some ergonomic aspects), MBHSI is based on activity analyses (based on human-in-the-loop simulations [HITLS]). A digital twin is seen as an extension of HITLS over the entire life cycle of a socio-technical system.

Biography: Guy André Boy, Ph.D., FlexTech Chair holder, is a professor at CentraleSupélec (Paris Saclay University) and Chairman of the Scientific Council of ESTIA, an academician fellow of the Air and Space Academy, and a fellow of INCOSE (International Council for Systems Engineering). He was a professor and dean at FIT (Florida Institute of Technology). He has been a chief scientist at NASA's Kennedy Space Center, an associate professor at the École Polytechnique de Paris, and president and research director of the European Institute of Engineering and Cognitive Sciences (EURISCO). He has worked in the field of artificial intelligence and cognitive science at ONERA as a researcher, and at NASA's Ames Research Center as head of the Advanced Interaction Media Group. Engineer and researcher in cognitive sciences, he is a graduate of the École Nationale Supérieure de l'Aéronautique et de l'Espace - ISAE-SUPAERO (Master's and Doctorate), of the Pierre et Marie Curie University (HDR—Habilitation to Supervise Research), and qualified as a university professor in computer science and psychology. He has actively participated in the introduction of cognitive engineering in France and its development worldwide. He is the author of more than 200 scientific articles and 14 books. He is a senior member of the ACM-Association for Computing Machinery (executive vice-president for Human-Computer Interaction from 1995 to 1999), a corresponding member of the International Academy of Astronautics, and chairman of the Aerospace Technical Committee of the International Ergonomics Association (IEA).

Abstract: Following topics will be explored:

• Introduction to fundamentals of physical modeling versus learning from data,
• ROM versus ML versus …,
• Process recognition and fault detection,
• Complexity management for system monitoring,
• Optimal system control based on real-time predictive models and sensor

Biography: Dr. Kambiz Kayvantash is the Senior Director of AI/ML Applications for Design and Engineering at Hexagon Manufacturing Intelligence. Previously, he was the CEO of CADLM, France (a company focused on computer-aided engineering (CAE) with artificial intelligence (AI) and machine learning for Optimal Design, Crash and Biomechanics), he was the Chair of Automotive Technologies at Cranfield University, Director of Centre for Automotive Technology, and Director of Cranfield Impact Centre, UK, he was also the MECALOG Safety and Biomechanics Business Unit manager, and Director of Optimization, Safety and Biomechanics Product Development at ALTAIR, France. Dr. Kayvantash got a BSc. Honors Civil Engineering, University of Swansea - Wales, UK (1982), a master’s degree (DEA) in Soil Mechanics, Université Pierre et Marie Curie, France (1984), a Ph.D. in Structural engineering and numerical analysis, Univ. Essen, Germany (1989), and an Executive MBA, HEC, France (2005). In 2008, he was appointed Professor of Automotive Technologies, Cranfield University, UK.