Thesis and HDR (last 6 months)

All thesis and HDR (Habilitation Diploma) defenses by the LIG members you can attend.
Friday 18 December 2020 - 10:00
Thesis defence Xiaojie Guo
Friday 18 December 2020 - 9:00
Thesis defence Barbe Thystère Mvondo Djob
Wednesday 16 December 2020 - 14:00
Thesis defence Nawal Ould Amer
Wednesday 16 December 2020 - 9:00
Thesis defence Charles Bailly
Friday 11 December 2020 - 10:00
Thesis defence Clément Mommessin
Tuesday 8 December 2020 - 13:30
Thesis defence Tanguy Giuffrida
Wednesday 2 December 2020 - 10:30
Thesis defence Adrien Faure
Thursday 26 November 2020 - 9:30
Thesis defence Aline Menin - eSTIMe: a Visualization Framework to Assist the Analysis of Daily Mobility Data
Friday 13 November 2020 - 9:00
Thesis defence Ambre Davat - Social touch for ubiquitous telepresence robotics : imbrication of physical and social parameters in vocal earshot during interaction
Wednesday 4 November 2020 - 14:00
Thesis defence Bruno Donnassolo - IoT Orchestration in the Fog
Friday 23 October 2020 - 14:00
Thesis defence Baptiste Jonglez - End-to-end mechanisms to improve latency in communication networks
Thursday 22 October 2020 - 13:30
Thesis defence Thibault Louis - Implementation and benefice of high-fidelity interactive systems : from higher control performances to faster 3D objet learning
Monday 19 October 2020 - 10:00
Thesis defence Rosamaria Crisci - Study on the viability conditions of an algorithmic- and programming-based approach to the learning of Euclidean division in primary school
Monday 28 September 2020 - 14:00
Thesis defence Danielly Kaspary Dos Anjos -The noosphere, a place of tension for the curriculum. Didactic study of the establishment of a textbook evaluation system on the study of the additive field in primary school.
Saturday 26 September 2020 - 16:00
Thesis defence Mohammed Khatiri - Task scheduling on heterogeneous multi-core
Thesis defence Mohammed Khatiri - Task scheduling on heterogeneous multi-core
Friday 18 September 2020 - 14:00
Thesis defence Thi Phuong Thao Tran - Interpretable time series kernel analytics by pre-image estimation