You may have realized while browsing our site (at least we hope so), we are tech-savyy and we want to be a TRUE partner in our ecosystem. For this, we have chosen to invest heavily in the field of research.
So how do we do it ?
We have defined a process allowing us to bring out the themes that we want to develop and therefore in which we invest.
There are 4 of these today.
Ours projects are managed by several heads of missions under the coordination of an R&D director and in partnership with 4 research laboratories located in France. They are initiated on the basis of monitoring studies conducted by our observatories.
Some examples of publications :
- Modeling and performance evaluation of the eICIC/ABS in H-CRAN, Cores 2018, Roscoff : Touati H, Castel-Taleb H, Jouaber B, Akberzadeh S, Khlass A.
- A two-stage algorithm for the virtual embedding problem, Conference on Local Computer Networks (LCN) 2021, Massinissa Ait Aba, Maxime Elkael, Badii Jouaber, Hind Castel-Taleb, Anrea Araldo et David Olivier.
- Can We Spot Energy Regression using Developers Tests?, Registered Report Track, 37th International Conference on Software Maintenance and Evolution (ICSME’21): Benjamin Danglot, Jean-Rémy Falleri et Romain Rouvoy.
Davidson consulting has been supporting the development of the “Digital Inventivities” Chair since 2019, the first teaching chair dedicated to digital creativity, carried by Institut Mines-Télécom Business School, in partnership with Télécom SudParis and ESAD de Reims, with the support SIANA, CUBE and the Mines-Télécom Foundation.
The objective of the Chair is to create innovative educational tools for the former managers of tomorrow to master creativity techniques in a digital context. Davidson is also supporting the development of the MooC “Creative Thinking: managing digital creativity.
- FR3023031 : method of identifying a movement by quantified recursive
- FR3023032 : method of identifying a movement by reducing the number of possible transitions
- FR3023033 : method of identifying a movement by minimizing the energy of paths
- FR3023034 : method of identifying a movement by minimizing a functional
- FR3023035 : method of identifying a movement by simplification of the hidden Markov Model
- FR3077148 : method and electronic device for selecting at least one message from a set of several messages, associated computer program