Maxime Alvarez

Development of proof-of-concepts to improve the relocalization capabilities and the responsiveness of the cloud-based augmented reality service of Pretia. Cross-source point cloud alignment using deep learning. Collaboration on the PLATEAU project by MLIT (Japanese government).

- Deep Learning and Signal Processing, introduction and industrial applications - Deep Learning - Reinforcement Learning

Data analysis and feature engineering on the recommendation system for Instagram's shop.

As a graduate researcher: investigated unsupervised anomaly detection algorithms for cybersecurity, led the publication in ICLR 2022 Workshop of first-author paper. As a teaching assistant: preparation and evaluation of labs on deep learning architectures (MLP, RNN, CNN) dans multi-agent search (Minimax, Alpha-Beta, Expectimax, MCTS).

Research in artificial intelligence and computer vision for UAV. Development of prototypes and POCs. ∗ SLAM debugging and help with post-flight data analysis. ∗ Development of recording and replay tools for lidars.

- Data Mining - Cognitive Computing - Reconstruction and Analysis of Medical Images - 3D Graphics Rendering