The PhD Seminars of Inria Sophia Antipolis - Méditerranée
The PhD Seminars of Inria Center At Université Côte d'Azur are organized and held by the PhD candidates of the STIC and SFA Doctoral Schools.
Their aim is to allow the participants to share their knowledge, and to promote collaborations, all in a friendly and interactive way. They are mainly addressed to and conducted by PhD students; however, postdocs, engineers and interns are more than welcome to participate to the talks.
If you are a PhD student or a post-doc, an engineer, or even an intern, we happily invite you to attend. You will most probably gain knowledge, maybe find solutions to unsolved problems, definitely learn more about other research fields, and don't forget that you will communicate with people, earn ECT credits, and more!
Seminars are organized every other Monday at 14:00 and they usually take place at the Euler Violet room of Inria Sophia Antipolis - Méditerranée.
See you there!
PhD Seminar – 18 March 2024
This time two shorter presentations: Talk by Emilie Yu (GRAPHDECO team) Doing a 3-months visit in Canada with MITACS from plans to final research project Abstract: Today I will talk about my visit of a research lab in the University of Toronto during three months funded by the MITACS Globalink…
PhD Seminar – 04 March 2024
Scientific talk by Jose Daniel Galaz Mora (LEMON team) Coupling methods of phase resolving coastal wave models Abstract: Wave propagation has a central role in beach evolution, sediment transport and the impact that natural and artificial structures have on the environment. Modeling these waves with 3D models gives the most…
PhD Seminar – 19 February 2024
Scientific talk by Nicolas de Almeide Martins (COATI team) Recent Results in Graph Coloring Games Abstract: The graph coloring game was first introduced, in the context of graph theory, by Bodlaender in 1991. In such a game there are two players, Alice and Bob. The players are given a graph…
PhD Seminar – 05 February 2024
Scientific talk by Louis Ohl (MAASAI team) Generalised mutual information (GEMINI) – A constellation of discriminative clustering models Abstract: Clustering is a fundamental learning task which consists in separating data samples into several groups, each called a cluster. The last decade witnessed increasing successes in the field of deep clustering…
