Chris Neal
Polytechnique Montreal
Local AA-5505
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.

In Proceedings

  • [DOI] Neal, C., Al Mallah, R., Fernandez, J. & Lodi, A. (2020) Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input , 1-6.
    [Bibtex]
    @INPROCEEDINGS{9255704,
    author={C. {Neal} and R. {Al Mallah} and J. {Fernandez} and A. {Lodi}},
    booktitle={2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)},
    title={Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input},
    year={2020},
    volume={},
    number={},
    pages={1-6},
    doi={10.1109/CCECE47787.2020.9255704}}