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ExpertiseUpdated on 3 July 2025

AI Expertise - Research

Laura Bies

Lab Lead Smart Quality at August-Wilhelm Scheer Institut

Saarbrücken, Germany

About

The August-Wilhelm Scheer Institute brings in strong expertise in digital transformation, AI-based decision systems, and the development of data-driven platform solutions. Our role focuses on:

  • Designing and implementing digital twins and intelligent platforms for circular economy applications

  • Applying AI and data analytics to optimize recycling processes and material flows

  • Developing interoperable, scalable IT architectures for sustainable and cross-sectoral solutions

  • Bridging the gap between research and industry through user-centered innovation and applied research

With extensive experience in EU-funded innovation projects, we support the digital transition of industries toward sustainability and circularity.

Field

  • (AI based) Material and Product Design
  • (AI based) process and system control technologies
  • (AI based) recognition systems
  • Data ecosystems
  • Industry 4.0 technologies
  • Manufacturing and machine learning
  • Simulation models and predictive analytics

Organisation

August-Wilhelm Scheer Institut

R&D Institution

Saarbrücken, Germany

Similar opportunities

  • Expertise

    AI and Robotics-Driven Lifecycle Management for Industrial Automation

    • Data ecosystems
    • Reverse Manufacturing
    • Industry 4.0 technologies
    • AI-driven diagnostic systems
    • (AI based) recognition systems
    • Manufacturing and machine learning
    • Robotic / handling - and assistance systems
    • Life cycle assessment / Product life cycle management

    Vivek Chavan

    Research Associate at Fraunhofer IPK

    Berlin, Germany

  • Expertise

    Senior Expert Sustainable and Circular Finance

    • Data ecosystems
    • (AI based) recognition systems
    • Life cycle assessment / Product life cycle management

    Carolina Andrén

    Senior Expert Circular Finance at RISE Research Institutes of Sweden

    Stockholm, Sweden

  • Project cooperation

    Looking for partners

    • Early idea
    • Expertise offered
    • Consortium seeks Partners
    • Data technologies | (AI based) process and system control technologies
    • Data technologies | (AI based) Material and Product Design, Decomposition and Separation
    • 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 | 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.

    Laura Bies

    Lab Lead Smart Quality at August-Wilhelm Scheer Institut

    Saarbrücken, Germany