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 – 10 March 2025
Scientific talk by Antonin Bavoil (McTao)Wind Energy Harvesting with a Kite Abstract: The scientific question addressed in this study is the maximisation of the average power produce by a device composed of a kite that follows an eight-shaped trajectory and a free-to-rotate horizontal arm; the kite is tethered to the…
PhD Seminar – 25 February 2025

Scientific talk by Frank de VeldMinimum Warning Time Optimization for low-thrust satellite collision avoidance with operational constraints Abstract: Due to a rapid increase in the number satellites and space debris objects in near-Earth space, it is now commonplace for satellites to perform collision avoidance manoeuvres within their lifetime. As many…
PhD Seminar – 20 January 2025
Scientific talk by Adel Annabi (McTao)Homogeneous observer for a low-dimensional neural fields model of cortical activity Abstract: We propose an observer design for a 3-dimensional model of cortical activity dynamics in the visual cortex, under the measurement of the averaged activity. It is based on the construction of an embedding…
PhD Seminar – 16 December 2024

Scientific talk by Alexandre Martin Abstract: Geometric Deep Learning (GDL) represents a major advance in the analysis of geometrically structured data, by hardcoding the principles of symmetry and invariance into architectures. Unlike traditional deep learning architectures, which are mainly adapted to Euclidean data, GDL ones extend to non-Euclidean domains such…