UNITA is organizing its very first thesis popularization competition, entitled "My 3-min PhD Thesis", inspired by the French "Ma Thèse en 180 secondes" model. For this first edition, two of LISTIC's doctoral [...]
Presenting one's research in three minutes is a challenge, the main difficulty of which is getting a multidisciplinary audience to understand the subject of one's thesis. This is exactly what is required of doctoral students [...].
Thursday, November 24, 2022 at 2:00 pm Ms Laurane CHARRIER, LISTIC Information Processing, will publicly present her thesis work, supervised by Mr Emmanuel TROUVE, Ms Yajing YAN and Ms Elise COLIN Venue: Polytech, [...].
Date: Friday, October 14, 2022 at 9:30 a.m. Location: Amphi B120, Polytech Annecy-Chambéry, 5 chemin de Bellevue, Annecy-le-Vieux 74940 Annecy Summary: Digital Transformation (DT) represents a real challenge for companies worldwide, not [...].
Date: Monday, June 20, 2022 at 1:30pm Location: Amphi B014, LISTIC, Polytech Annecy-Chambéry, 5 chemin de Bellevue, Annecy-le-Vieux 74940 Annecy Abstract: In the age of global applications and services, it is important to ensure [...]
Date: Monday, June 27, 2022. 1h30 PM Title of the thesis: Automatic Offshore Oil Detection Based On Deep Learning Approaches Using Heterogeneous Data Fusion. Abstract: Offshore oil slick monitoring is a highly relevant topic for [...]
As part of the CIME1 Franco-Swiss Interreg project, various methods and decision-making tools have been developed to facilitate risk management by mountain professionals. One of these [...]
HDR subject: Towards operational monitoring of Earth deformation and forecasting of natural hazards on Monday, September 6, 2021 at 10am in B120 or live on the Internet. Abstract: [...]
HDR topic: From execution of image processing chains to distributed knowledge acquisition through processing Friday, June 25, 2021 at 2pm in visio. Abstract: SAR image processing chains [...]
Title: Data replication in large-scale distributed systems Summary: Data replication is a key mechanism for building a reliable and efficient data management system. Indeed, by keeping several replicas for each piece of data, it is possible to [...]