Photo of Anteneh Belayneh

Anteneh Belayneh

PhD Graduate: water resource allocation and management

Anteneh is a PhD Public Policy alumnus. His research interests relate to water resource allocation and management. His areas of expertise are Bioresource management and hydrology. His recent work involves studying the economic impact of mining on indigenous communities in the Canadian subarctic and drought forecasting in sub-Saharan Africa.

Anteneh holds a Master’s degree in Bioresource Engineering and a B.Sc (Honours) in Hydrology from Montreal’s McGill University. He has presented his work at conferences of the Canadian Society of Civil Engineers, the North American Society of Bioresource Engineering and Resources and Sustainable Development in the Arctic. In 2012, Anteneh interned with the United Nations Convention on Biodiversity, working on economic planning in developing countries.

Publications:

Adamowski, J and Belayneh, A. 2016. New Approaches in Drought Forecasting using Artificial Intelligence Methods. Encyclopedia of Natural Hazards.

Belayneh, A., Adamowski, J., Khalil, B., Quilty, J. 2015. Coupling Machine Learning Methods with Wavelet Transforms and the Bootstrap and Boosting Ensemble Approaches for Drought Prediction. Journal of Atmospheric Research

Belayneh, A., Adamowski, J., Khalil, B. 2015. Short-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet transforms and machine learning methods. Journal of Sustainable Water Resource Management

Belayneh, A., Adamowski, J., Khalil, B., B. Ozga-Zielinski. 2014. Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet support vector regression models. Journal of Hydrology 508, 418-429.

Belayneh, A., Adamowski, J., 2013. Drought Forecasting Using new Machine Learning Methods. J. Water Land Dev. 2013, No. 18 (I–VI): 3–12.

Belayneh, A., Adamowski, J., Khalil, B., 2013. A Boosting Ensemble approach for Drought Forecasting. NABEC Technical Conference on Ecological Engineering.

Belayneh, A., Adamowski, J., Khalil, B., 2013. Forecasting Drought via Bootstrap and Machine Learning Methods. CSCE 3rd Specialty Conference on Disaster Prevention and Mitigation

Belayneh, A., Adamowski. J., 2012. Standard precipitation index drought forecasting using neural networks, wavelet neural networks and support vector regression. The Journal of Applied Computational Intelligence and Soft Computing. doi:10.1155/2012/79406

Belayneh, A., Adamowski, J., Khalil, B., 2012. Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet-neural network and wavelet-support vector regression models. NABEC-CSBE/SCGAB Joint Meeting and Technical Conference on Ecological Engineering.