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CISPA - Helmholtz Center for Information Security

R&D Institution

cispa.de/enSaarbrücken, Germany
1 profile visit

About

At the CISPA Helmholtz Center for Information Security, we explore cybersecurity, privacy, and trustworthy artificial intelligence in all their many facets. A national Big Science institution within the Helmholtz Association, CISPA is the world's leading research center in the field of cybersecurity. Providing a first-rate research environment and extensive resources to our researchers, CISPA strives to be an extraordinary place for the world's best scientific talent.

Other 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)AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components

Data technologies, data ecosystems and cross-linking

(AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths(AI based) process and system control technologies(AI based) Material and Product Design, Decomposition and Separation

Representatives

Faith Blakemore

Strategic Initiatives

CISPA - Helmholtz Center for Information Security

Krikamol Muandet

Chief Scientist and Faculty Member

CISPA - Helmholtz Center for Information Security

Marketplace (2)

  • Project cooperation

    Circular AI Economy

    This project studies and rethinks the AI lifecycle, proposing circular AI paradigms and a platform for real-world implementation.

    • Early idea
    • Expertise offered
    • Consortium seeks Partners
    • Data technologies | (AI based) process and system control technologies
    • Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
    • 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)
    Author

    Krikamol Muandet

    Chief Scientist and Faculty Member at CISPA - Helmholtz Center for Information Security

    Saarbrücken, Germany

  • Expertise

    Machine Learning Expert

    I can offer technical expertise in machine learning (ML) and artificial intelligence (AI).

    • Data ecosystems
    • AI-driven diagnostic systems
    • (AI based) recognition systems
    • Manufacturing and machine learning
    • (AI based) Material and Product Design
    • (AI based) process and system control technologies
    Author

    Krikamol Muandet

    Chief Scientist and Faculty Member at CISPA - Helmholtz Center for Information Security

    Saarbrücken, Germany