SciTransfer
Organization

CENTRO REGIONALE INFORMATION E COMMUNICATION TECHNOLOGY SCARL

Italian research centre specializing in HPC architectures, applied AI for healthcare imaging, and secure data processing for space and cloud systems.

Research institutedigitalITNo active H2020 projects
H2020 projects
6
As coordinator
0
Total EC funding
€2.5M
Unique partners
77
What they do

Their core work

CERICT is a southern Italian research centre specializing in high-performance computing architectures, data privacy compliance, and applied AI for critical sectors. Their technical work spans designing manycore HPC systems for demanding workloads, building privacy-aware linked data platforms, and developing AI-based diagnostic tools for healthcare imaging. They bring strong computing infrastructure and data engineering expertise to EU consortia tackling problems from space system security to cancer detection.

Core expertise

What they specialise in

High-Performance Computing (HPC) architecturesprimary
3 projects

Core contributor to MANGO (manycore HPC systems), RECIPE (exascale heterogeneous systems), and continued HPC work in INCISIVE.

AI and deep learning for medical imagingemerging
1 project

INCISIVE project applies XAI, deep learning, neural networks, and federated learning to breast, colorectal, and lung cancer imaging diagnostics.

Data privacy, compliance and linked datasecondary
2 projects

SPECIAL focused on scalable privacy-aware linked data architecture; MUSA addressed multi-cloud security — both centered on data governance.

Cloud and distributed computing securitysecondary
2 projects

MUSA targeted multi-cloud secure applications; 7SHIELD addressed safety and security of space ground segments and satellite data.

Space ground segment data processingemerging
1 project

7SHIELD project focused on protecting space system ground segments and Copernicus satellite data assets.

Evolution & trajectory

How they've shifted over time

Early focus
HPC architectures and exascale systems
Recent focus
Applied AI and space data security

CERICT started firmly in the HPC hardware and architecture space (2015–2019), working on manycore processors, real-time computing, power-performance optimization, and exascale system management through MANGO and RECIPE. From 2020 onward, they pivoted toward applying their computing muscle to domain-specific challenges: AI-driven cancer diagnostics with federated learning (INCISIVE) and space infrastructure security (7SHIELD). The shift signals a move from building computing platforms to deploying them for high-impact applications in health and security.

CERICT is transitioning from pure HPC infrastructure research toward AI applications in healthcare and secure data processing, making them increasingly relevant for projects that need heavy computation applied to real-world problems.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European18 countries collaborated

CERICT operates exclusively as a consortium participant — they have never coordinated an H2020 project, which suggests they position themselves as a technical contributor rather than a project leader. With 77 unique partners across 18 countries in just 6 projects, they work in large, diverse consortia and are clearly comfortable in multi-national, multi-disciplinary teams. This broad network without repeat coordination indicates they are sought after for specific technical capabilities rather than driving project agendas.

Despite only 6 projects, CERICT has collaborated with 77 distinct partners across 18 countries, reflecting their participation in large consortia spanning most of the EU. Their network is broadly European with no obvious geographic concentration.

Why partner with them

What sets them apart

CERICT sits at the intersection of HPC infrastructure and applied AI — a relatively rare combination among Italian research centres. While many organizations do either computing research or domain applications, CERICT can bridge both: they understand hardware-level optimization (manycore, exascale) and can apply that knowledge to demanding AI workloads like medical image analysis. For consortium builders, they offer a partner that brings both the computational backbone and the expertise to deploy it in sensitive domains like health and security.

Notable projects

Highlights from their portfolio

  • MANGO
    Their largest-funded project (EUR 571K), focused on next-generation manycore HPC architectures — represents their core technical identity.
  • INCISIVE
    Their most recent and thematically ambitious project, combining AI, federated learning, and XAI for multi-cancer diagnostics — signals their strategic direction.
  • 7SHIELD
    Unusual cross-domain project applying security expertise to space ground segments and Copernicus satellite data, showing versatility beyond pure computing.
Cross-sector capabilities
healthsecurityspace
Analysis note: With 6 projects CERICT provides a reasonable but not exhaustive profile. Several early projects (MUSA, SPECIAL, RECIPE) lack keywords in the dataset, so their specific contributions are inferred from project titles and descriptions. The healthcare AI and space security work is well-documented through keywords but represents only 2 projects — the emerging label reflects this limited but clear evidence.