AI for Sustainable Development

Smart Solutions for Climate, Energy, and Health
Erscheinungsjahr 2026
ISBN: 978-3-032-36523-1
Verlag: Springer

Buch, Englisch, 308 Seiten, Format (B × H): 210 mm x 279 mm

Reihe: Sustainable Artificial Intelligence-Powered Applications

This book offers a groundbreaking exploration of how artificial intelligence (AI) can drive sustainable development by tackling critical challenges in climate, energy, and health. It provides actionable insights into cutting-edge AI solutions that optimize resource efficiency, reduce emissions, and improve global well-being.  As the world faces escalating climate crises, energy shortages, and public health emergencies, AI emerges as a transformative tool for smart, scalable solutions. This book delves into key topics such as AI-powered climate modeling, renewable energy optimization, precision agriculture, and AI-enhanced healthcare diagnostics. Each chapter highlights real-world applications, demonstrating how AI can enhance sustainability while addressing ethical considerations and policy frameworks. Why is this important? Climate change demands urgent innovation, energy systems require smarter management, and healthcare needs equitable, data-driven solutions. By bridging technology and sustainability, this book empowers policymakers, researchers, and industry leaders to harness AI for a greener, healthier future. Target Audience: Environmental scientists, tech innovators, policymakers, energy experts, healthcare professionals, and anyone passionate about AI-driven sustainability.

Zielgruppe

Research

Autoren/Hrsg.

Bhambri, Pankaj

Anand, Jose

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geowissenschaften Umweltwissenschaften Klimawandel, Globale Erwärmung
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit

Inhaltsverzeichnis

AI for Climate Change Mitigation Adaptation.- AI Driven Climate Modeling and Prediction Explores how AI enhances climate forecasting, extreme weather prediction, and long term climate modeling.- Discusses deep learning and hybrid AI climate models.

Über Autor(innen)

Dr. Pankaj Bhambri is affiliated with the Department of Information Technology at Guru Nanak Dev Engineering College in Ludhiana. Additionally, he fulfills the role of the Convener for his Departmental Board of Studies. He is currently the postdoctoral fellow at the Lincoln University College, Malaysia. He possesses nearly two decades of teaching experience. He is an active member of IE India, ISTE New Delhi, IIIE Navi Mumbai, IETE New Delhi and CSI Mumbai. He has contributed to the various research activities while publishing articles in the renowned SCIE and Scopus journals and conference proceedings. He has also published several international patents. Dr. Bhambri has garnered extensive experience in the realm of academic publishing, having served as an editor/author for a multitude of books in collaboration with esteemed publishing houses such as Taylor & Francis, Elsevier, Scrivener, Springer, IGI Global and Bentham Science. Dr. Bhambri has been honored with several prestigious accolades, including the ISTE Best Teacher Award in 2023 and 2022, the I2OR National Award in 2020, the Green ThinkerZ Top 100 International Distinguished Educators award in 2020, the I2OR Outstanding Educator Award in 2019, the SAA Distinguished Alumni Award in 2012, the CIPS Rashtriya Rattan Award in 2008, the LCHC Best Teacher Award in 2007, and numerous other commendations from various government and non-profit organizations. He has provided guidance and oversight for numerous research projects and dissertations at the postgraduate and Ph.D. levels.

Dr. A. Jose Anand is currently associated as a Professor at, the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu. Earlier, he had worked with the Halifax Regional Center for Education, Halifax, Nova Scotia, Canada. He has one year of industrial experience and twenty-four years of teaching experience. Has one year of experience as assistant staff for Halifax Regional Center for Education at Saint Mary's Elementary School, Halifax, Nova Scotia, Canada. He presented several papers at National Conferences and International Conferences. He published several papers in the National Journal and International Journal and also published books for polytechnic & engineering subjects. He is a Member of CSI, IEI, IET, IETE, ISTE, INS, QCFI and EWB. His current research interest is in Wireless Sensor Networks, Embedded Systems, IoT, Machine Learning and Image Processing, etc.