Department of Computer Science
University of Toronto
Email: soukayna [at] cs [dot] toronto [dot] edu
Curriculum vitae (Coming soon) .
A machine learning approach to non-uniform spatial downscaling of climate variables.
Soukayna Mouatadid, Steve Easterbrook & Andre Erler. (Submitted, 2017)
Water flow forecasting using an ensemble wavelet bootstrap long short term memory model.
Soukayna Mouatadid, Mukesh Tiwari & Jan Adamowski. (In preparation, 2017)
Comparison of ANN, LSSVR and ELM models for effective drought index prediction.
Soukayna Mouatadid, Nawin Raj, Ravinesh Deo & Jan Adamowski. (In preparation, 2017)
Non-uniform spatial downscaling of climate variables.
Soukayna Mouatadid, Steve Easterbrook & Andre Erler. (CIW 2017)
On machine learning and climate change: from water demand forecasting to climate modelling.
Soukayna Mouatadid, Steve Easterbrook & Jan Adamowski. (NIPS WIML 2016)
Using extreme learning machines for short-term urban water demand.
Soukayna Mouatadid & Jan Adamowski. (Urban Water Journal 2016)
Prediction of SPEI using MLR and ANN: A case study for Wilsons Promontory Station in Victoria.
Soukayna Mouatadid, Ravinesh Deo & Jan Adamowski. (ICMLA 2015)
RFID-based location system for forest search and rescue missions.
Soukayna Mouatadid, Zineb Fatara & Yassine Salih-Alj. (ISMS 2013)
My research interests lie at the intersection of machine learning and climate modelling. I've also worked on energy systems modelling and hydrological modelling.
My supervisor is Steve Easterbrook.