The transformative potential of learning-enabled data-intensive systems is at the forefront of significant research and innovation initiatives worldwide. Notwithstanding the great potential, these systems operate in open contexts where uncertainties in the operating environment, unanticipated adversaries, and unreliable components are widespread. Improving the resilience, integrity and predictability of these systems, especially when used in safety-critical and mission-critical applications, becomes paramount.

 

In this talk, we will present our recent research in the area focusing on rigorous and practicable approaches that are adaptive, green, trustworthy and human-centric and which guide the engineering of trustworthy learning-enabled data-intensive systems.

Dr Simos Gerasimou is Associate Professor at the Department of Computer Science at the University of York, UK. His research interests focus on developing rigorous and practicable approaches for the engineering of AI-enabled and data-intensive autonomous systems that are adaptive, green, trustworthy and human-centric. Throughout his research, he employs a diverse set of theories, approaches and techniques ranging from model-based analysis and simulation to formal verification and synthesis.

 

He has co-authored more than 40 peer-reviewed papers, and his research has been supported by the European Commission, UK's Engineering and Physical Sciences Research Council (EPSRC), InnovateUK, Lloyds Register Foundation, and DSTL.

 

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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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