Prof. Dr. Alexandre Dolgui

IMT Atlantique, Head of Automation, Production and Computer Sciences Department

Dr. Alexandre Dolgui is an IISE Fellow, Distinguished Professor and the Head of Automation, Production and Computer Sciences Department at the IMT Atlantique, France. His research focuses on decision-aid for manufacturing line design, production planning and supply chain optimization. His main results are based on the exact mathematical programming methods and their intelligent coupling with heuristics and metaheuristics algorithms. He is the co-author of 5 books, the co-editor of 20 books or conference proceedings, the author of 256 refereed journal papers, 4 prefaces of books, 30 editorials and 37 book chapters as well as over 400 papers in conference proceedings. He is the Editor-in-Chief of the International Journal of Production Research, an Area Editor of Computers & Industrial Engineering, past AE of IEEE Transactions on Industrial Informatics and Omega, Member of the Board of the IFPR, former Chair of IFAC TC 5.2 Manufacturing Modelling for Management and Control, etc.

Prof. is speaking at

Focus Track 2 - Technology, Platforms and Trust
November 4, 2020
2:00 pm - 3:30 pm


  • Gabriel Gonzalez-Castane (Parallel session chair) Senior Research Coordinator, Insight-Centre for Data Analytics, University College of Cork
  • Michela Milano (Speaker) Head of the Alma Mater Research Institute for Human-Centered Artificial Intelligence ALMA-AI, University of Bologna
  • Urszula Sobek (Speaker) Project Manager, FundingBox
  • Joachim Koehler (Speaker) Director of Business Unit Content Technologies and Services, Fraunhofer IAIS
  • Arnaud Gotlieb (Speaker) Senior Research Scientist, Simula Research Laboratory, Norway
  • Dusica Marijan (Speaker) Senior Research Scientist, SIMULA Research Laboratory
  • Prof. Dr. Alexandre Dolgui (Speaker) IMT Atlantique, Head of Automation, Production and Computer Sciences Department


The main objective of this session is to give to the audience an overview on the AI4EU project and ecosystem, from the Networks of Excellence (NoEs) to those that linked to its ecosystem – Services and AI for Manufacturing, for example.

Furthermore, the AI ecosystem links to the main stakeholders in its vision– Researchers, Industry and SMEs –through the description of the open calls and 2 additional sessions. The topics for these are the technology transfer services from research to industry using the AI on demand platform, and the case studies oriented to a broad number of market segments to enhance SMEs and low tech SMEs on the AI sector.

To have a better engagement with the audience, the session will be divided in 3 slots of 30 minutes on:

  • Slot 1 (S1): AI4EU positioning in the European Panorama and Funding Opportunities for startups and venture capital
  • Slot 2 (S2): Knitting industry and research through the AI ecosystem
  • Slot 3 (S3): Digitizing SMEs through AI case studies

S1: This slot will make the participants understand the AI4EU strategy, positioning the project with the Networks of Excellence, features, objectives, ICT 49, DIH engagement, other Key European Initiatives, and finally the funding opportunities that the project provide to the startups and SMEs.

S2: This slot will show the opportunities for cooperation and technology transfer in the area of AI with respect to different opportunities in two main dimensions. These are industry – academia and the potential growth on this perspective; AI assets – machinery support, for sustainability and opportunities on the cloud, HPC, Internet service providers.

S3: This slot will provide to the participants with information on how the AI4EU projects plan to showcase multiple pilots to enrich the AI platform. This will be oriented towards supporting a growth on AI assets on the AI4EU platform towards different market segments as case studies and pilots that will be target future SMEs and low tech SMEs in Europe using them.

For more information on this project please visit: 

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