PhD position in "Green Learning Meets Computer Vision: Rethinking Deep Learning Models for Perception in Intelligent Systems"
10 Mai 2023
Catégorie : Doctorant
Green Learning Meets Computer Vision: Rethinking Deep Learning Models for Perception in Intelligent Systems
Supervisors: Amnir Hadachi, Abdelaziz Bensrhair, Paul Honeine
Abstract: In the last decades, we witnessed rapid artificial intelligence advancements built upon deep learning (DL). Moreover, the DL decision mechanism is so obscure that testing is the only way to verify it. Hence, the process from training to testing any model is computationally demanding. Consequently, due to their high carbon footprint, DL networks become a concern for suitability. From this perspective, green learning (GL) has been presented as a potential solution to address these concerns. Thus, the Ph.D. topic is focused on exploring the possibilities of the GL paradigm and how it can be adopted in rethinking and redesigning the models' architectures to reduce the carbon footprint of computer vision algorithms based on Deep learning.
Doctoral: 4 years in cotutelle INSA Rouen (LITIS Lab) and University of Tartu (Estonia).
Apply (CV and transcripts) before 15th of May :
- Amnir Hadachi: email@example.com
- Abdelaziz Bensrhair: firstname.lastname@example.org
- Paul Honeine: email@example.com