Professor Fares served on administrative positions as Interim Vice President of Research, Interim Dean and Director, and Associate Director of Research. He served as a Professor of watershed hydrology at the University of Hawaii-Manoa for 11 years during which he established an academic water resource program. He has trained tens of students and post-doctoral fellows. He developed water allocation software packages for Hawaii sand contributed to multiple statewide initiatives. He worked on citrus best management practices at the University of Florida. Professor Fares is/was a PI and Co-PI on $26 million research funding, half of which are currently active. He has 115 articles, is Series Editor of the Advances in Water Security book series, has given several keynote presentations, and organized several international conferences and workshops. He received his M.S and Doctoral Degrees from the University of Florida and he also received his B.S of Horticultural Engineering, University of Sussa, Tunisia.

• Section 1. Introduction to AI in the Water-Energy-Food Nexus1. Introduction and Overview of the Topic2. Bridging AI and the Water-Energy-Food Nexus: Ethical Considerations, Educational Frameworks, and Outreach StrategiesSection 2. AI Applications for Sustainable Agricultural and Water Resource Management3. Revolutionizing Poultry Farming: AI Innovations for Sustainable Resource Management4. Economic Implications of Digital Twin Models in Agriculture: Lessons from Cotton in Texas5. AI-Driven Approaches for Water Stress Monitoring and Sustainable Resource Management in Agriculture6. Harnessing Machine Learning for Peanut Yield Prediction and Climate Impact Analysis in Central Georgia Agriculture7. AI-Driven Energy Transition: Advancing Sustainability Through Reduced Environmental Footprints and Enhanced Water-Food SecuritySection 3. Technological Innovations for Post-Harvest and Food Efficiency8. AI-Driven Advancements in Post-Harvest Processing and Secure Grain Storage: Integrating Emerging Technologies with Sustainable Resource Management9. Hyperspectral Imaging and AI for Food Quality and Sustainability in the Water-Energy-Food Nexus10. Data-Driven Innovations for Crop Water ManagementSection 4. Addressing Global Challenges and Future Directions in the WEF Nexus11. AI-Driven Monitoring of Food Efficiency and Weight Gain in Goats12. Tackling the Water-Energy-Food Nexus in Sub-Saharan Africa: Challenges and Solutions13. AI and the FEW Nexus: A Computable General Equilibrium Model14. AI and Team Science: Advancing Interdisciplinary Solutions for Global Water-Energy-Food Challenges15. Synthesis and Recommendations

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