The presentation will cover numerical advancements in nonlinear monotonic and cyclic loading of structures through the discussion of visual results obtained through the use of Reconan FEA, a research software developed by Dr Markou. Then the scientific field of High-Performance Computing will be presented by showing the results that were obtained from relevant research projects (Cyclone, Meluxina, and LUMI HPCs), where new predictive models were developed through the use of Machine Learning algorithms.

Finally, future research objectives will be discussed.

Prof. George Markou received his Ph.D. degree at the National Technical University of Athens, Greece. His specialty involves numerous scientific fields related to the modeling of structures through the use of the finite element method. His recent research work addresses the modeling of composite structures under seismic loading conditions, soil-structure interaction problems, assessment of retrofitted structures, smart monitoring of structures, and the use of machine learning algorithms for solving engineering problems. 

Prof Markou is also using high-performance computing in the development of predictive models through machine learning algorithms. He is currently a faculty member at the Cyprus University of Technology in the Department of Civil Engineering and Geomatics, and he is also a Research Associate at the University of Pretoria, South Africa.

 

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About the EuroCC-2 project

EuroCC 2 will work to identify and address the skills gaps in the European High Performance Computing (HPC) ecosystem and coordinate cooperation across Europe to ensure a consistent skills base.

The role of EuroCC 2 is to establish and run a network of more than 30 NCCs across the EuroHPC Participating States. The NCCs act as single points of access in each country between stakeholders and national and EuroHPC systems. They operate on a regional and national level to liaise with local communities, in particular SMEs, map HPC competencies and facilitate access to European HPC resources for users from the private and public sector.

EuroCC 2 delivers training, interacts with industry, develops competence mapping and communication materials and activities, and supports the adoption of HPC services in other related fields, such as quantum computing, artificial intelligence (AI), high performance data analytics (HPDA) to expand the HPC user base.

 

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This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the European Union’s programme Digital Europe and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg , Slovakia, Norway, Switzerland, Turkey, the Republic of North Macedonia, Iceland, Montenegro and Serbia. 

 

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