
Artificial Intelligence for the Water-Energy-Food Nexus
- 1st Edition - December 1, 2025
- Imprint: Elsevier
- Editors: Shahryar Jafarinejad, Amir Shahirinia
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 0 1 9 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 0 2 0 - 8
Artificial Intelligence for the Water-Energy-Food Nexus explores the intricate connections between water, energy, and food—essentials for sustainable development—… Read more
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The final chapter integrates AI applications across all these nexuses, making the book indispensable for researchers, students, engineers, industry professionals, and policymakers.
- Provides an overview of the water-energy-food nexus, including frameworks, assessment/analysis, challenges, opportunities, and trends
- Explores individual applications of artificial intelligence (AI) techniques in the water, energy, and food sectors
- Highlights the application and potential of AI as it relates to the water-energy-food nexus
2. Introduction to Artificial Intelligence Techniques
3. Artificial Intelligence for the Water Sector/Industry
4. Artificial Intelligence for the Energy Sector/Industry
5. Artificial Intelligence for the Food Sector/Industry
6. Artificial Intelligence Application to the Water-Energy-Food Nexus
- Edition: 1
- Published: December 1, 2025
- Imprint: Elsevier
- Language: English
SJ
Shahryar Jafarinejad
Dr. Shahryar Jafarinejad is an Assistant Professor of Chemical Engineering at Tuskegee University (TU), United States, where he also serves as a faculty senate member since 2019. Before joining TU in 2018, he worked as a postdoctoral researcher at the University of California, Irvine. He has taught chemical engineering courses at TU, University of Tehran, and the College of Environment, and Technical and Vocational University (Iran), and supervised undergraduate and graduate students. He has published three books, several book chapters, and numerous peer-reviewed journal and conference papers, and has served as an editorial board member and reviewer of engineering journals. His research group focuses on green technologies and sustainable materials, energy and environment, and applying nanotechnology and modeling and simulation tools to solve problems in chemical and environmental engineering. He received the Henry C. McBay Faculty Research Fellowship from UNCF and the Outstanding Faculty Performance Award for Research and Teaching/Learning at TU in 2020 and 2022, respectively.
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