Project cooperationUpdated on 15 January 2026
Efficient and scalable algorithms
Associate professor at AIDA Lab @ University of Padova
Padova, Italy
About
The AIDA lab @ University of Padova can provide expertize on designing efficient algorithms and analytics for extracting useful information from big data, in particular for mobility data.
In particular, we have been working on algorithms for:
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modern computing architectures (tensor core, processing in memory, memory hierarchy, parallel platforms,...);
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analytics for time series and trajectories, with a focus on human mobility data
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machine learning, in particular unsupervised learning, similarity search, pattern mining.
Contact person: francesco.silvestri@unipd.it https://www.dei.unipd.it/~silvestri/
Group home page: https://aidalabdei.github.io/
Topic
- HORIZON-CL4-2026-02-DIGITA-EMERGING-51: AI improved advanced manufacturing and production processes in factories
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Type
- Partner seeks consortium
Organisation
Similar opportunities
Project cooperation
Differential privacy and intelligent data analytics
- Partner seeks consortium
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Francesco Silvestri
Associate professor at AIDA Lab @ University of Padova
Padova, Italy
Expertise
Efficient and scalable algorithms
- Big data & analytics
- Transport and mobility
- Artificial Intelligence (AI)
- Smart cities and communities
- High-Performance Computing (HPC)
- Responsible research and innovation
Francesco Silvestri
Associate professor at AIDA Lab @ University of Padova
Padova, Italy
Project cooperation
Interest in projects requiring data collection and processing solutions
- Partner seeks consortium
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-02-DIGITA-EMERGING-51: AI improved advanced manufacturing and production processes in factories
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Mikko Myllymäki
Research Coordinator at University of Jyväskylä (Kokkola University Consortium Chydenius)
Kokkola, Finland