400万人が利用するビジネスSNS
NABLAS / Research Engineer
I like to see myself as both an engineer and a scientist. I love all fields of science and engineering, but I decided to focus on artificial intelligence. I work hard to keep up with deep learning research and try to create bridges between niches. Since I love to learn, I also love to explain and teach!
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
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).
- Data Mining - Cognitive Computing - Reconstruction and Analysis of Medical Images - 3D Graphics Rendering