Mathieu Le Cam Email & Phone Number

Montreal, Quebec, Canada

*Developed forecasting models based on neural ordinary differential equations using the Julia Scientific Machine Learning framework for model predictive control of HVAC systems*Developed a Retrieval Augmented Generation tool to extract information from HVAC manufacturers specs sheets, leveraging LLMs access from Amazon Bedrock

Cork, County Cork, Ireland

*Technical support for the European Project ReMAP: development of machine learning algorithm in Azure Databricks framework for system failure prediction using full flight data in the context of Prognostics and Health Management of different aircraft systems.*Technical support for the European Project ICO-BRAKE: development of machine learning algorithm in.

Cork, Ireland

*Project leader for the European Project Cocoon looking at the integration of heating ventilation and air conditioning system into an aircraft economy class seat - thermal comfort assessment through simulation on TAItherm platform.

County Cork, Ireland

*Technical support in the European Project ELSA on the use of second life electric batteries from electric vehicles for energy management in buildings - supported the development of a demonstrator in an office building and ran experiments. *Technical support for thermal modeling of aircraft environmental control system on Dymola simulation platform for the.

Varennes, Québec, Canada

* Energy efficiency analysis of the impact of implementing cold climate heat pumps in the Canadian residential and commercial building sector.* Prefeasibility analysis for the adoption of natural gas heat pumps on the Canadian market in the commercial and institutional building sector.

Montreal, Canada Area

Study of the impact of the forecasts of weather conditions on the accuracy of the forecast of building energy use.

Montreal, Canada Area

I completed my Ph.D degree at Concordia University under the supervision of Pr. Radu Zmeureanu and Dr. Ahmed Daoud.My research project focused on the short-term forecasting of the electric demand of HVAC systems in large commercial and institutional buildings. In the context of demand response, two forecasting methods were developed for multi-step-ahead.

Shawinigan, Québec

My research project focused on the short-term forecasting of the electric demand of HVAC components. I conducted this project under the supervision of Dr. A. Daoud and Pr. R. Zmeureanu.I employed data-driven models based on neural networks to forecast the electric demand of HVAC system. The proposed forecasting method was applied to an office building.

Shawinigan, QC, Canada

During my stay at the Hydro-Quebec research institute, I conducted a research project under the supervision of Dr A. Daoud on the use of inverse models for the short-term forecasting of power demand of residential houses.The forecasting models were validated on measurements of existing residential buildings in the province of Quebec.The study was presented.

Méaulte, France

I participated in re-designing a part of the assembly line of the fuselage of the aircraft. The purpose was to apply some lean manufacturing methods to improve the flow line efficiency and the working conditions.

Deep Learning Nanodegree, Computer Science

Gain expertise in neural networks implementation using the deep learning framework PyTorch. Build convolutional networks for image.

Data Analyst Nanodegree, Computer Science

Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

Doctor Of Philosophy (Ph.D.), Building Engineering, 3.77/4

Master Of Engineering (M.Eng.), Mechanical Engineering, 3.5/4

Bachelor Of Engineering (B.Eng.), Mechanical Engineering