About

Hossein Bonakdari, Ph.D., P.Eng., an associate professor in the Department of Civil Engineering at the University of Ottawa, with advanced knowledge and organized research activities in water resources and artificial intelligence techniques for environmental issues under climate change. His research has primarily been focused on analysis and control of fluvial processes and watershed-scale water quantity and quality models. Throughout his 15 years of professional experience in research, he has developed a body of work solving real engineering problems in the context of managing waterflow and sediment transport and water-related risks based on AI, satellite data and remote sensing, infrastructure design, optimizing current water resources, and infrastructure real-time modeling to protect vulnerable areas from water-related hazards in urban and agricultural sectors. On the basis of a Scopus report, he has been ranked second on the list of top scientists worldwide in his field of interest, Sediment Transport. Results obtained from his research have been published in more than 270 published papers in international journals (h-index=49) with more than 7200 citations. He also has more than 150 presentations at national and international conferences. He is one of the most influential scientists in field of developing novel algorithms based on artificial intelligence and machine learning techniques for solving practical problems. Since 2019, he has been ranked in the list of the world's top 2% of scientists in various fields, which Stanford University publishes yearly. He is a 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. He is Editorial board of Informatics, Natural Resources Informatics and Earth journals. He is an internationally recognized, prolific author in Smart and Sustainable Infrastructure Development and a high-impact productive researcher.

Career Type:

Scientist/Researcher/Academic

Organization Type:

Universities and Academia

Expertise Fields/Interests:

analysis and control of fluvial processes and watershed-scale water quantity and quality models

Major Achievements: