Arthur Ouaknine Email & Phone Number

Montréal, Québec, Canada

Our mission is to develop a transparent, robust and scalable tool for impactful forest monitoring—bringing new insights to forest conservation and management through advanced AI.

Montréal, Québec, Canada

Collaboration between McGill University and Mila (Quebec Artificial Intelligence Insitute).Postdoctoral researcher fellow in deep learning applied to climate change and forest monitoring.In particular, we are exploring foundation models for remote sensing in multi-modal, multi-task and multi-scale contexts for forest monitoring worldwide.

- Volunteer in a non-profit organization disseminating knowledge at the intersection of climate change and artificial intelligence.- Lead of the webinars team.- Co-leading the organization of the ICLR 2024 workshop "Tackling Climate Change with Machine Learning"- Supervising the organization of the NeurIPS 2024 workshop "Tackling Climate Change with.

Région De Paris, France

PhD prepared in collaboration between Telecom Paris (French engineering school) and valeo.ai (international research lab in autonomous driving).Under the supervision of P. Pérez (valeo.ai), F. Tupin (Telecom Paris) and A. Newson (Telecom Paris).Subject: ”Scene understanding using deep learning algorithms applied to radar data for autonomous.

Région De Paris, France

Région De Paris, France

- R&D Mission (with Faircast): Detection of 3D objects in an apartments using Deep Learning algorithms. - Publication: Review of Deep Learning Algorithms for Image Semantic Segmentation

Région De Paris, France

Application of Deep Learning methods for image analysis embedded on mobile. - State-of-the-art of image classication, object detection models and Deep Learning model reduction. - Object detection using YOLOv2 for real time inference embedded on mobile. - Memories detection using VSO, decision tree and transfer learning. - Model embedding on Android /.

Title: "Facial points recognition using Deep Learning and Active Learning process"This project is a collaborative work between five students of Telecom ParisTech School and Morpho, a Safran subsidiary working on identity and security. Using pictures scaled on the head of persons, we use a Convolutional Neural Network (CNN) model to predict the five.

Région De Paris, France

Within the Business Analytics division of Rexel France, I realized different projects to analyse the customer’s path and their multiple channel interactions in order to realize an in-depth study on behaviour. - Text Mining analysis of a satisfaction survey using SPSS Text Analytics software. - Data audit from big databases. - Creation of simple variables.

Région De Paris, France

Within the new “Mission Numérique” division of ENEDIS (ex ERDF), I implemented Text Mining methods on incident reports of the medium-voltage grid of electricity in Paris, France. - Manipulation and formatting the unstructured incident reports. - Research and creation of programming tools to extract information in textual fields of these reports. - Design a.

Doctor Of Philosophy - Phd, Deep Learning

PhD prepared in collaboration between Telecom Paris (French engineering school) and valeo.ai (international research lab in autonomous.

Post M.Sc. Degree, Big Data And Machine Learning

Grade: with Highest Honors Teachings : - Big Data Distributed Systems, Statistics, Data Bases, Big Data Mining, Hadoop, Kit Data Science.

Master Of Science (M.Sc.) 2, Statistical And Economic Modeling, With Honors

Activities and Societies: Vice president of the Master Association REMUP.

Master Of Science (M.Sc.) 1, Statistical And Economic Modeling, With Honors

Bachelor'S Degree, Applied Mathematics