Senior Research Coordinator, Insight-Centre for Data Analytics, University College of Cork
Gabriel González-Castañé is a Senior Research Coordinator at University College of Cork working in the Insight-Centre for data analytics. He holds a PhD in Computer Science in the field of modeling and simulation, a MSc in distributed systems, and a Bachelor in Computer Engineering. He has participated in several Spanish National Projects during his studies and moved to Dublin City University in 2015 where he started working in EU projects leading a simulation work package in CACTOS FP7 project and succeeding on landing €0.6M in RECAP H2020 EU project. He moved to University College of Cork, into the Center of Unified Computing as technical coordinator of the Cloud Lightning H2020 project, marked as Excellent by the European Commission. Since then, he moved to the Insight Centre where he has been working on industrial projects working with leading industrial companies on transferring research to industry and leading roles and in EU project in the framework H2020 through different roles. He is currently leading the Work Package with 33 industrial, academics, and policy maker partners on ecosystem creation and development of the AI on demand platform and ecosystem H2020 project together with Prof. Barry O'Sullivan, and working on the engagement with TAILOR, HumanE AI Net Networks of Excellence and VISION CSA project - all ICT 48. During this period he has been also working in proposal development, and he succeed on ICT-38 (AI for Manufacturing) and ICT-49 (Artificial Intelligence on demand platform) calls, landing €1M during last phase of the framework. His interests are in digital ecosystems, technology transfer, education skills development and upskilling, simulation, self organising architectures, distributed (cloud/edge/..) computing and simulation-optimisation.
Gabriel is speaking at
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:
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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