Moetez Kdayem Email & Phone Number

Montreal, Qc, Ca

Within a partnership between ÉTS and Distech Controls we want to create a synergy that is conducive to the development of machine learning solutions for controlling connected buildings. Distech Controls is seeking to develop smarter building management solutions, and the Chair holders, Professors Éric Granger and Marco Pedersoli, possess the necessary expertise in the area of artificial intelligence to optimize the various tasks inherent in building control, including ventilation, heating and room lighting.In Distech Team we are conducting research in the following areas: - Building control with the use of low-cost sensors and artificial intelligence algorithms;- Reducing the energy footprint and increasing comfort inside buildings;- Detection of individuals and events inside smart buildings;- Developing strategies aimed at protecting privacy;- Executing intelligent algorithms on edge computing platforms;- Developing strategies aimed at reducing the complexity of and processing time for embedded AI algorithms;- Fusion of multimodal information from multiple sensors;- Automatic and incremental adaptation of systems to environmental changes;- Adaptive calibration of controllers.

Montreal, Quebec, Canada

This project is for the Graduation Thesis directed by Pr. Nicolas Saunier through MITACS Globalink. It aims to develop a semi-automatic data annotation tool for object detection using active learning by allowing the user to modify and fix the model's annotations proposals.

Berlin, Germany

Artificial Intelligence and computer vision applied on renewable energy grids (solar grids...)

Tunisia

Big Data Processing and Data Analytics:- Apache Spark: Usage & Config Optimization- Data analysis: pulling useful insights from the performed statistical analysis on the sales during the COVID19 and pre-COVID19 period.- Running Spark on Distributed Machines ( Clusters: yarn, standalone ...) #spark #big data #data_analytisis #data_science #apache_spark #hadoop

Master Of Science - Ms, Machine Learning

M.Sc: Advanced Techniques in Machine Learning and Computer Vision for Smart Buildings Controls under the Supervision of Prof. Marco.

Bachelor Of Engineering - Be, Computer Science

Minor: AI and Intelligent Systems Relevant Coursework: • Machine Learning • Neural Network • Deep Learning • Fuzzy Logic • Computer Vision.

Physics And Technology