Silvio José Gumiere Editor

Dr. Bonakdari obtained his PhD in Civil Engineering from the University of Caen Normandy (France). He has worked for several organizations and most recently as an Associate Professor at the Department of Civil Engineering of the University of Ottawa (Canada). He is one of the most influential scientists in the field of developing novel algorithms for solving practical problems through the decision-making abilities of AI. His research also focuses on creating comprehensive methodologies in the areas of simulation modeling, optimization, and machine learning algorithms. The results obtained from his research have been published in international journals and presented at international conferences. He was included in the list of the world's top 2% scientists, published by Stanford University, and is on the Editorial board of several journals. Silvio José Gumiere has been a professor in the Department of Soil Sciences at Laval University since 2011, after obtaining his Ph.D. in hydrological and erosion modelling from the GAIA doctoral School, Montpellier France. Since 2006 he has been working on various aspects of soil erosion, hydrology and soil physics as well as on the development of modelling tools for water and soil management in agricultural systems. He is an expert on the application of R-based numerical, statistical and geostatistical methods, such as time series analyses, image and signal processing, erosion modelling and spatial hydrology and spatial interpolation methods. His research has been published in over 50 papers in international journals with over 870 citations. He has also given ~70 presentations at national and international conferences. He is a Guest Editor for several special issues on hydrological modelling and machine learning techniques for solving applied science problems in hydrology, soil sciences, soil hydrology and environmental journals.