Didier Haguma, Ph.D.

Research Associate

Research interest and expertise

Hydrology, hydraulics, hydric systems management.
Hydrological and hydraulic forecasting, impact assessment of climate change.
Automatic learning, artificial intelligence, predictive modelling.
Responsible of the implementation of the hydrological modelling platform in the research chair.


  • Haguma D., R. Leconte (2018). Evaluation of the performance of transition probabilities for a stochastic dynamic programming model in the case of water system optimization. Journal of Water Resources Planning and Management, 144(2). https://doi.org/10.1061/(ASCE)WR.1943-5452.0000883
  • Haguma D., R. Leconte, S. Krau (2017).Hydropower plants adaptation strategies for climate change impacts on hydrologic regime. Canadian Journal of Civil Engineering, https://doi.org/10.1139/cjce-2017-0141.
  • Haguma, D., R. Leconte, F. Brissette (2015). Évaluation du régime hydrologique du bassin versant de la rivière Manicouagan, au Québec, dans le contexte des changements climatiques. Canadian Journal of Civil Engineering, 42 (2), 98-106. https://doi.org/10.1139/cjce-2014-0085
  • Haguma D., R. Leconte, S. Krau, P. Côté, F. Brissette (2015). Water resources optimization method in the context of climate change. Journal of Water Resources Planning and Management, 141(2), 04014051.https://doi.org/10.1061/(ASCE)WR.1943-5452.0000445.
  • Haguma D., R. Leconte, P. Côté, S. Krau, F. Brissette (2014). Optimization of hydropower generation under climate change conditions. Water Resources Management, 28(13), 4631-4644.https://doi.org/10.1007/s11269-014-0763-3.
  • Côté P., D. Haguma, R. Leconte, S. Krau (2011).Stochastic optimisation of  HydroQuebec hydropower installations: a statistical comparison between SDP and SSDP methods. Canadian Journal of Civil Engineering, 38(12), 1427-1434.http://www.nrcresearchpress.com/doi/abs/10.1139/l11-101#.WZ8D6oQ1-Um