
Centre for Research and Technology Hellas
Website: www.certh.gr
Country: Greece
The Centre for Research and Technology Hellas (CERTH) is one of Greece’s largest research organizations, headquartered in Thessaloniki with additional facilities across the country.
Established in 2000, it brings together interdisciplinary institutes to advance industrial innovation, digital transformation, sustainable mobility, energy, and biosciences while supporting Greek and European competitiveness.
Among its institutes, the Information Technologies Institute (ITI), founded in 1998 and integrated into CERTH, is a leading ICT research hub. ITI conducts applied and fundamental research in artificial intelligence, machine learning, computer vision, multimedia analysis, human–computer interaction, the Internet of Things, 5G/6G networking, cybersecurity, and data analytics. It coordinates and participates in EU-funded programs (Horizon Europe and earlier frameworks), collaborates with academia and industry, and transfers know how through pilot deployments, patents, and spin offs.
Key initiatives span large-scale multimedia analytics, smart cities and intelligent mobility, digital health and assistive technologies, cultural heritage digitization, and responsible, trustworthy AI.
ITI teams run advanced testbeds, build benchmark datasets, publish in top-tier venues, and steward open-source projects.
Across CERTH, researchers collaborate with public authorities and industry to deliver technology services, training programs, and standards contributions, while nurturing talent and entrepreneurship through graduate mentoring, internships, and innovation hubs.
Role in the project:
Deliver data-driven recommendation and decision support engine for CRDs, powering personalized insights and clinician-validated guidance across pilots.
Lead technology adaptations and localization, exposing secure APIs and ensuring explainable, robust AI through fairness/bias checks and small-scale model retraining.
Act as Technology/Research Owner, defining scientific objectives, safeguarding standards, and aligning analytics with clinical priorities.
Additionally, provide targeted input to architecture and integration as needed, while coordinating selectively on infrastructure, data management, and country-specific implementation only where it advances the decision support roadmap.
People Involved:



