Michela Milano

Head of the Alma Mater Research Institute for Human-Centered Artificial Intelligence ALMA-AI, University of Bologna

Michela Milano is full professor of Artificial Intelligence at DISI – University of Bologna since April 2016. She is past Deputy President of the European Association of Artificial Intelligence (EurAI) and past Executive Councilor of the Association for the Advancements of Artificial Intelligence (AAAI), past member of the Executive Committee of the Association for Constraint Programming and of the Italian Association of Artificial Intelligence. Her research activity concerns Artificial Intelligence with particular focus on decision support and optimization systems covering both theoretical and practical aspects in application fields as energy, mobility, computing, policy making and sustainability. In this field Michela Milano has achieved international visibility and has collaborations with many research groups and companies. She is Editor in Chief of the Constraints Journal, Member of the Editorial Board of ACM Computing Surveys for the area of Artificial Intelligence, past Area Editor of INFORMS Journal on Computing in the area Logic, Constraint and Optimization. She has edited two collections on hybrid optimization and she is author of more than 170 papers on peer reviewed international conferences and journals. On these topics Michela Milano has given many tutorials and keynote talks in in the major international conferences on Artificial Intelligence. She coordinated many European, Italian and regional projects and she is responsible of collaborations with industries. In 2016 she has been the recipient of the Google Faculty Research Award on the use of deep network in combinatorial optimization.

Michela is speaking at

November 3, 2020
10:35 am - 11:35 am



Video messages from key European experts from different European Countries.

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: https://www.ai4eu.eu/ 

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