Computational Intelligence and Optimization Methods for Sustainable Water Management

• #1. History of Water Management: Historical Perspectives and Technological Dynamics
• #2. Global Water Resource Challenges
• #3. Fuzzy Multi-Criteria Decision-Making Approach for Optimizing Sustainable Water Management
• #4. Neutrosophic Sets for Decision-Making in Natural Disasters and Environmental Recovery
• #5. Role of Artificial Intelligence in Water Management
• #6. Predictive Modeling and Generative AI for Anticipating Water Shortages
• #7. Smart Stormwater Systems: AI-Driven Forecasting, Optimization, and Real-Time Control
• #8. Mathematical Modeling and Metaheuristic Optimization for Distributed No-Wait Flow Shop Scheduling in Desalination Systems
• #9. Machine Learning Approaches to Climate-Smart Irrigation Planning
• #10. A Non-Invasive Revolution in Soil and Root Water Content Monitoring by Integrating Deep Learning and GPR
• #11. AI-Driven Wastewater Treatment and Recycling: Smart Water
• #12. Wastewater Treatment and Recycling With AI
• #13. Wastewater Treatment and Recycling Using Adsorption Enhanced by Artificial Neural Networks

Yassine Ezaier is a dedicated researcher and educator in physical sciences, specializing in material science and fluid mechanics. He earned his PhD from Hassan II University, where he also completed his Master's and Bachelor's degrees in Physical and Chemical Sciences. Currently, Dr. Ezaier is a part-time lecturer at the Ecole Normale Supérieure de Casablanca, where he teaches courses in electronics, fluid mechanics, and solid mechanics. His research focuses primarily on water desalination, composite membranes, and sustainable water treatment methods, with numerous publications in high-impact journals. Proficient in Python and machine learning, he also mentors Master's students on material science projects.

Rajae Gaamouche is a distinguished engineer and researcher specializing in electrical engineering. She earned her PhD from the École Mohammadia d'Ingénieurs in Rabat, Morocco, focusing on predictive control and modeling for hydrokinetic turbines connected to electrical grids. With extensive teaching experience as a part-time lecturer at the École Nationale Supérieure des Mines de Rabat, she has contributed significantly to renewable energy education, electronics, and power systems. Dr. Gaamouche has authored numerous publications in international journals and conferences and has collaborated on projects involving renewable energy systems, photovoltaic technologies, and marine energy. She is also proficient in advanced programming and simulation tools like MATLAB, PSPICE, and LABVIEW.

Mohamed Lahby is Associate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. His PhD in Computer Science from Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, in 2013. His research interests are Green energy, wireless communication and network, mobility management, QoS/QoE, Internet of things, Smart cities, Optimization and Machine learning. He has published more than 35 papers (book chapters, international journals, and conferences), 1 edited book, and 1 authored book. He has served and continues to serve on executive and technical program committees of numerous international conferences such as IEEE PIMRC, ICC, NTMS, IWCMC, WINCOM, ISNCC. He also serves as a referee of many prestigious Elsevier journals: Ad Hoc Networks, Applied Computing and Informatics and International journal of disaster risk reduction. He organized and participated more than 40 conferences and workshops. He is the chair of many international workshops and special sessions such as MLNGSN’19, CSPSC’19, MLNGSN’20, MLNGSN’21, AI2SC ’20 and WCTCP’20, CIOT’22. He has also edited many books published in Springer and Taylor.