ExpertiseUpdated on 15 April 2025
Biomass
About
To cooperate for the best value chain approaches. Environmental, economic and socio-economic factors and assessment of the best value chains. Accessibility and sustainability of the feedstock availability for commercialisation of the process, using our platform EATNP to support the development, real life testing , adoption of AI technology , using smart censor technology to monitor the environment. We identify south Africa as the location for potential investment opportunities, to develop the global feedstock processing centre. It will serve as point centre for the adoption process, prodction and innovation cenre serving other countries in the world.
Field
- (Advanced) Materials and additive manufacturing
- (AI based) Material and Product Design
- (AI based) process and system control technologies
- Network design of reverse supply chains
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Expertise
- Reverse Manufacturing
- Industry 4.0 technologies
- Manufacturing and machine learning
- Simulation models and predictive analytics
- (Advanced) Materials and additive manufacturing
Haifa SALLEM
Associate professor at HES-SO University of Applied Sciences and Arts of Western Switzerland
Sion, VALAIS, Switzerland
Expertise
Empowering SMEs through a Learning Factory for Digital Transformation and Knowledge Transfer
- Data ecosystems
- Reverse Manufacturing
- Industry 4.0 technologies
- AI-driven diagnostic systems
- (AI based) recognition systems
- Manufacturing and machine learning
- (AI based) Material and Product Design
- Network design of reverse supply chains
- Simulation models and predictive analytics
- Robotic / handling - and assistance systems
- (Advanced) Materials and additive manufacturing
- (AI based) process and system control technologies
- Life cycle assessment / Product life cycle management
Christina Pietschmann
research assistant at Hochschule Mittweida University of Applied Sciences
Mittweida, Germany
Expertise
Urban Transformation & Circular Design
- Data ecosystems
- Reverse Manufacturing
- Industry 4.0 technologies
- Manufacturing and machine learning
- (AI based) Material and Product Design
- Network design of reverse supply chains
- (Advanced) Materials and additive manufacturing
- Life cycle assessment / Product life cycle management
Annika Greven
Researcher at Wuppertal Institut für Klima, Umwelt, Energie
Wuppertal, Germany