Public and Industry Engagement
The Computation-based Science and Technology Research Center (CaSToRC) at the Cyprus Institute plays a central role in advancing the adoption of high-performance computing (HPC) and related digital technologies in Cyprus. Its designation as the country’s National Competence Centre (NCC) in HPC within the EuroHPC framework underscores its importance in fostering exascale computing across Europe. This initiative aims to bolster scientific discovery, innovation, and competitiveness through HPC, high-performance data analytics (HPDA), AI, and computational modeling.
Engagement activities:
- Collaboration with industries and public sector entities via:
- Consultation Services and Training under EuroCC2 include:
- Tailored trainings in HPC, HPDA, AI, and simulations to meet the needs of industrial, academic, and governmental organizations.
- Building HPC expertise in Cyprus to enhance research and innovation capabilities.
- Supporting digital transformation through HPC, AI, and HPDA for academia, industry, and government.
- For more insights of success stories, visit this link here.
- Innovation Program under SIMEA includes:
- Facilitating the knowledge transfer from CaSToRC to industrial collaborators through trainings.
- Organization of industry weeks to explore collaborations in the Cyprus ecosystem.
- Co-supervision of PhD students with industry
- Explore SIMEA projects with industry in this link.
- Center-wide Research and Development Initiatives:
- Engaging with industry companies in cutting-edge projects like PROTECT, AGORA 3.0, and Nano-CarbonCaps to tackle challenges in Health Sector and Materials Science.
- CaSToRC’s expertise spans diverse domains with application in:
- Agriculture: Crop health monitoring using computer vision and machine learning.
- Logistics: Advanced sorting and package tracking systems using computer vision and machine learning.
- Environment: Climate analysis and remote sensing through high-performance data analytics.
- Micro-engineering: Innovations in microfluidics through computational fluids dynamics.
- Materials Science: Development of nanostructures and smart materials though multi-scale in-silico modeling and physics-informed machine learning.
- Health and Biomedicine: Advancing medical imaging, bioinformatics, and drug design using computer vision, machine learning, and high-performance data analytics.
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Mathematics in Industry and Open Science:
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Active participation in CY-MATHS-IN and ECMI to integrate mathematical modeling into industrial innovation.
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Advocacy for Open Science principles, adhering to FAIR guidelines, and participation in European initiatives like EUDAT CDI and EOSC.
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