Soukayna Mouatadid


PhD Candidate
Department of Computer Science
University of Toronto

Email: soukayna [at] cs [dot] toronto [dot] edu

Curriculum vitae (Coming soon) .

Preprints

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)

Publications

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)

Research

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.