Mohammad Zeynoddin Author

Hossein Bonakdari, Ph.D., P.Eng., earned his Ph.D. in Civil Engineering at the University of Caen, France and is currently professor of the Department of Soils and Agri-Food Engineering Laval University, Canada. He has worked in research and teaching highlighting new insights for creating comprehensive methodologies for data analysis and predictive models in the fields of fundamental and applied sciences for over a decade. Results obtained from studies throughout his academic career have been published in top-ranked scientific journals with over 1300 citations in 2021. He is one of the most influential scientists in the development of novel algorithms based on artificial intelligence and machine learning techniques to solve practical problems. He has been Guest Editor for several special issues on the application of artificial intelligence and machine learning techniques for solving applied science problems in Informatics, Sustainability and Earth Journals. Mohammad Zeynoddin is currently Ph.D. candidate in the field of Soil and Environments at Department of Soils and Agri-Food Engineering, Laval University, Québec, Canada. He holds Master of Water Engineering and Hydraulic Structure and Bachelor of Civil Engineering diploma. His research has primarily been focused on time series modeling to improve the accuracy of calculations of hydrological variables for monitoring, real time prediction, optimization, and automation of hydrological and environmental systems. Results of his research was 12 published papers in international journals with high Impact Factors. He received several awards and honors from universities during of his Master and PhD studies. He has a passion for art and sports. He holds several international sport certificates and championships.