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ExpertiseUpdated on 16 May 2025

Nanofiber Technology

Seda Koksal Yegin

Co-Founder, CTO at Ion Membranes Company

Istanbul, Türkiye

About

Advanced nanofibers for functional applications

Organisation

Ion Membranes Company

Start-Up

Istanbul, Türkiye

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

    Associate Professor

    • (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

  • Expertise

    Polymer Materials, Adhesives

    Christof Brändli

    Professor at Zurich University of Applied Sciences/ZHAW

    Winterthur, Switzerland