Chris’ research is a joint collaboration with the Hydro-Quebec Research Institute (IREQ). It will focus on the the generation, processing, visualization of huge data in offline as well as real-time simulations for advanced measuring. This will involve using machine learning techniques to optimize a huge set of parameters, to detect system anomalies, and to manage global control strategies. Research Interests : Operations research on big data, machine learning, semantic web technologies, genetic algorithm, data visualization techniques, linked data, and cloud technologies.
A. M. Aboussalah, C. Neal, 2016. Forecasting local warming: Missing data generation and future temperature prediction. G-2016-76