ExpertiseUpdated on 16 May 2025
Nanofiber Technology
About
Advanced nanofibers for functional applications
Organisation
Similar opportunities
Project cooperation
Advanced Functional Nanofiber Sensors
- Early idea
 - Already defined
 - Expertise offered
 - Consortium seeks Partners
 - Data technologies | Assistance and Expert systems
 - Enabling technologies | Network design of reverse supply chains
 - Data technologies | Design of an adaptable Digital Product Pass:
 - Enabling technologies | Robotic / handling - and assistance systems
 - Data technologies | (AI based) process and system control technologies
 - Enabling technologies | (Advanced) Materials and additive manufacturing
 - Data technologies | (AI based) Material and Product Design, Decomposition and Separation
 - Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
 - Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
 - Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
 - Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
 - Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
 - Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
 - Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
 - Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
 - Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
 - Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
 - Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
 - Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
 - Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)
 
Seda Koksal Yegin
Co-Founder, CTO at Ion Membranes Company
Istanbul, Türkiye
Expertise
Christopher Holmes
Scientific Collaborator at Bern University of Applied Sciences
Biel/Bienne, Switzerland
Expertise
- (Advanced) Materials and additive manufacturing
 - (AI based) process and system control technologies
 
Ana C. Mendes
Associate Professor at Technical University of Denmark
Kgs Lyngby, Denmark