The ESOS PhD thesis, carried out at the IETR (Institut d'Électronique et des Technologies du numéRique*) and IRISA (Institut de Recherche en Informatique et Systèmes Aléatoires**) laboratories, cover a broad spectrum of eco-design approaches, ranging from material substitution to hardware-software co-optimisation, additive manufacturing, energy recovery and extending the service life of systems. The application of these methods and their combination with LCA analyses of target systems make it possible to identify the best opportunities for eco-design and to pinpoint the main scientific barriers to reducing the environmental impacts of these systems. They also help pave the way for the implementation of circularity strategies in digital electronics.

* Institute of Electronics and Digital Technologies

** Institute for Research in Computer Science and Random Systems

  • Pierre Le Gargasson - Carbon emission modeling of video processing services
  • Olivier Weppe - Carbon footprint of computing systems
  • Jean Schoch - Bio-based microsensors for the detection of trace pollutants in water 
  • Rachel Neveu - Flexible, self-powered, bio-based piezoresistive microsensors for motion detection
  • Yeeun Lee - Development of recyclable integrated electronic devices made from bio-based materials for use in environmental sensors
  • Morgane Lebarbe - Design and development of optically transparent, miniature, and reconfigurable printed antennas
  • Nolah Mazet - Assessment and optimization of the environmental footprint of audiovisual media
  • Benjamin Chedotel - Ecodesign of embedded systems applied to smart vision
  • Eya Kherrat - Study of the environmental impact of loT platforms at the network edge that perform machine learning tasks
  • Kadjo Manouan - Eco-friendly polymer/metal DC generators based on the tribovoltic effect for powering communication sensors
  • Corentin Depontailler - An environmentally friendly system for tracking a kayaker joint angles
  • Marie Grondin - Hardware architectures for implementing neural network solutions in meteorological applications 
  • Marwa Saad - Extending the operational lifespan of a multiprocessor system based on the open-source RISC-V architecture