Anglet, Pau, Mont-de-Marsan
UPPA’s research unit - Laboratory of computer science (LIUPPA) (EN)



Leader : Richard Chbeir

  • 3 permanent employees
  • 2 PhD
  • 5 post-doctoral fellows

Key dates

  • Kick-off: june 2019
  • Duration: 5 years

Financial contribution/year

OpenCEMS ChairConnected Environment and Distributed Energy System Data Management

The OpenCEMS-DESDM chair intends to provide concrete solutions to the collection of massive data in a connected environment and/or electrical network.

Main objectives of the chair


  • Science: Design, implement and deploy software solutions on both a small and large scale in order to better collect/aggregate data, produce information, discover new knowledge and automate decision-making (partly or completely).
  • Training: Share good practices. The chair is a place for reflection, sharing and training, where awareness can be raised.
  • Transfer: Helping companies and local authorities to solve their problems by offering them advice and solutions, particularly in relation with data.
  • Strategic: Develop an open software platform capable of both scaling up and optimizing the functioning of its connected environments.

Richard Chbeir is currently a Full Professor in the Computer Science Department at the UPPA and the head of the LIUPPA lab. His current research includes data management, information retrieval, data semantics, access control, and digital ecosystems. He is also the Chairman of the French Chapter ACM SIGAPP.

Multiple applications for renewable energy

  • Grid support and public ownership in industrialized countries,
  • Supporting economic growth by ensuring reliable and fairer local energy in developing countries,
  • Energy robustness for critical consumers: data centers, hospitals, command centers and military bases.


The integration of these renewable energies into a global energy environment is the objective of micro and smart networks.

Such systems, called Distributed Energy Systems (EDS), reconcile several issues of service provision, robustness and optimization.