Publications
Automatic Model Structure Identification: Using Mixed-Integer Calibration for Model Development. Geophysical Research Abstracts, 21.
. (2019). Probabilistic design of a riverine early warning source water monitoring system. Canadian Journal of Civil Engineering, 36, 1095-1106. doi:10.1139/L09-041
. (2009). New dynamically dimensioned search algorithm for automatic calibration with application to phosphorous transport in northeast watershed. In Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006. doi:10.1061/40856(200)316
. (2007). Automatic calibration and uncertainty analysis of a watershed model. In Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management (pp. 1768-1772). Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-23844447099&partnerID=40&md5=f3a91e9b074becc1bb4c11ddcc959c90
. (2004). Assessing TMDL's and management of phosphorous pollution using data and model for the Cannonsville Watershed, NY. In Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management (pp. 409-418). Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-23844455023&partnerID=40&md5=68618cf60fa9dfba171b1fab657f3a30
. (2004). Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives. Water Resources Research, 51, 3796-3814. doi:10.1002/2014WR016520
. (2015). Improving the efficiency of Monte Carlo Bayesian calibration of hydrologic models via model pre-emption. Journal of Hydroinformatics, 17, 763-770. doi:10.2166/hydro.2015.043
. (2015). Addressing subjective decision-making inherent in GLUE-based multi-criteria rainfall-runoff model calibration. Journal of Hydrology, 523, 693-705. doi:10.1016/j.jhydrol.2015.01.051
. (2015). Uncertainty-based multi-criteria calibration of rainfall-runoff models: A comparative study. Stochastic Environmental Research and Risk Assessment, 28, 1493-1510. doi:10.1007/s00477-014-0855-x
. (2014). Evaluation of new control structures for regulating the great lakes system: Multiscenario, multireservoir optimization approach. Journal of Water Resources Planning and Management, 140. doi:10.1061/(ASCE)WR.1943-5452.0000375
. (2014). An efficient framework for hydrologic model calibration on long data periods. Water Resources Research, 49, 8418-8431. doi:10.1002/2012WR013442
. (2013). Review of surrogate modeling in water resources. Water Resources Research, 48. doi:10.1029/2011WR011527
. (2012). Numerical assessment of metamodelling strategies in computationally intensive optimization. Environmental Modelling and Software, 34, 67-86. doi:10.1016/j.envsoft.2011.09.010
. (2012). A new formulation for feedforward neural networks. IEEE Transactions on Neural Networks, 22, 1588-1598. doi:10.1109/TNN.2011.2163169
. (2011). Reducing the computational cost of automatic calibration through model preemption. Water Resources Research, 46. doi:10.1029/2009WR008957
. (2010). Battle of the water calibration networks. Journal of Water Resources Planning and Management, 138, 523-532. doi:10.1061/(ASCE)WR.1943-5452.0000191
(2012). Conceptual and numerical models for sustainable groundwater management in the Thaphra area, Chi River Basin, Thailand [Modèles conceptuels numériques de gestion durable de la nappe dans la région de Thaphra, Bassin de la Rivière Chi, Thaïlande]. Hydrogeology Journal, 20, 1355-1374. doi:10.1007/s10040-012-0887-6
. (2012). A benchmarking framework for simulation-based optimization of environmental models. Environmental Modelling and Software, 35, 19-30. doi:10.1016/j.envsoft.2012.02.002
. (2012). Battle of the Water Networks II. Journal of Water Resources Planning and Management, 140. doi:10.1061/(ASCE)WR.1943-5452.0000378
(2014). Introductory overview: Optimization using evolutionary algorithms and other metaheuristics. Environmental Modelling and Software, 195-213. doi:10.1016/j.envsoft.2018.11.018
. (2019).