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. Amir Noori is a PhD candidate at the Department of Civil Engineering of the University of Ottawa (Canada). He received his MSc in Water Resource Engineering and Management from Razi University (Iran). His research interests are directed at water resources planning, integrated multi-criteria decision-making models, and GIS and RS applications. He developed different novel multi-criteria decision-making techniques to address several practical challenges, which were published in high-impact factor journals. Based on his excellent resume, the University of Ottawa secured him an admission scholarship and he was nominated for the merit scholarship as well. Dr. Morovati obtained his PhD in Hydraulic Engineering from Tsinghua University (China). His recent works are dedicated to finding nature-based scientific solutions for transboundary rivers and water resource management by developing hydrological, hydrodynamic, data science, and multi-criteria decision-making approaches. His study also looks at the impacts produced by climate variation and human activities on flow regime shifts of rivers and lakes. He has published several papers in high-quality journals.

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. Amir Noori is a PhD candidate at the Department of Civil Engineering of the University of Ottawa (Canada). He received his MSc in Water Resource Engineering and Management from Razi University (Iran). His research interests are directed at water resources planning, integrated multi-criteria decision-making models, and GIS and RS applications. He developed different novel multi-criteria decision-making techniques to address several practical challenges, which were published in high-impact factor journals. Based on his excellent resume, the University of Ottawa secured him an admission scholarship and he was nominated for the merit scholarship as well. Dr. Morovati obtained his PhD in Hydraulic Engineering from Tsinghua University (China). His recent works are dedicated to finding nature-based scientific solutions for transboundary rivers and water resource management by developing hydrological, hydrodynamic, data science, and multi-criteria decision-making approaches. His study also looks at the impacts produced by climate variation and human activities on flow regime shifts of rivers and lakes. He has published several papers in high-quality journals.