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University of Jyväskylä (Kokkola University Consortium Chydenius)

University

cinetcampus.fi/en/Kokkola, Finland

About

Kokkola University Consortium Chydenius is a unit formed by the Universities of Jyväskylä, Oulu and Vaasa, whose activities are coordinated by the University of Jyväskylä.

Research on Intelligent Technologies

The Physical AI and Wireless Systems group at Kokkola University Consortium Chydenius explores how intelligence and connectivity transform the interaction between the digital and physical worlds. We develop AI-based systems capable of independent decision-making and operation in real-world environments.

We also design wireless embedded solutions that sense and process data from their surroundings. Our research spans from fundamental studies to practical applications, advancing smarter, more resilient, and more adaptable technologies.

 Our Research Areas

  • Autonomous cyber-physical systems – Merging IT with the physical world for intelligent decision-making and autonomous operation

  • Wireless embedded systems – IoT devices and sensor networks with local data processing and online interaction

Examples of Our Current Research Themes

  • Intelligent IoT and WSN solutions – Environmental, industrial, housing and health sensing and controlling solutions

  • Data analytics and big data – Anomaly detection, process modeling and analysis to improve productivity and competitiveness

  • GenAI and language models – State-of-art AI technologies for cyber-physical systems and industrial applications

  • Sustainable and smart buildings – Intelligent monitoring and controlling solutions for smart buildings

  • Autonomous machines and robotics – Autonomous decision-making, digital twins based simulations and controlling solutions for heavy machinery and robots

  • Online education solutions – Online learning solutions supported with learning analytics

  • Commercialization of research results – Commercialization and productization of outcomes from RDI projects

Research for the Benefit of Business and Society

 Our research activities are mainly based on project funding in close collaboration with companies and other partners. We have extensive experience in RDI activities as well as in transferring research results and expertise into practice.

Our goal is to continue implementing projects in our key research areas that are relevant to both industry and SMEs. RDI activities are also strongly linked to the Master’s (FM) and Master of Science in Technology (DI) programs offered by our unit, ensuring a close connection between research and education.

Read more: https://cinetcampus.fi/en/

Digital technologies

Artificial IntelligenceBig data & analyticsInternet of ThingsRoboticsManufacturing

European Partnerships

Artificial Intelligence, Data & Robotics

European Data Spaces

ManufacturingResearch and Innovation

Representatives

Research Coordinator

University of Jyväskylä (Kokkola University Consortium Chydenius)

Project manager: R&D funding, eco-systems and partnerships

University of Jyväskylä (Kokkola University Consortium Chydenius)

Marketplace (1)

  • Project cooperation

    Interest in projects requiring data collection and processing solutions

    We are interested in contributing our expertise in sensor solutions, data transfer, and data processing research to projects consortias.

    • 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
    Author

    Research Coordinator at University of Jyväskylä (Kokkola University Consortium Chydenius)

    Kokkola, Finland