AI for Sustainable Development

Smart Solutions for Climate, Energy, and Health
Erscheinungsjahr 2027
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
• Geowissenschaften Umweltwissenschaften Klimawandel, Globale Erwärmung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• 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 an Associate Professor in the Department of Information Technology at Guru Nanak Dev Engineering College (GNDEC), Ludhiana, Punjab, India, where he also serves as Convener of the Board of Studies. He is currently a Postdoctoral Fellow at Lincoln University College, Malaysia, having completed his postdoctoral research on "A Taxonomy of Bias in Machine Learning: Classification, Sources, and Implications for Ethical AI" in April 2026. He has over 22 years of teaching and research experience and has been recognized in the Stanford University & Elsevier Top 2% Scientists List (2025 and 2026).Dr. Bhambri holds a Ph.D. in Computer Science and Engineering from I.K.G. Punjab Technical University, Jalandhar. He has published extensively in renowned SCIE and Scopus-indexed journals and conference proceedings, authored and edited numerous books with publishers such as Springer, Taylor & Francis, Elsevier, and IGI Global, and holds several international patents. He has received numerous prestigious awards, including the ISTE Best Teacher Award (2022 and 2023), the I2OR National Award (2020), and the Green ThinkerZ Top 100 International Distinguished Educators Award (2020).His current research interests encompass machine learning, bioinformatics, wireless sensor networks, and network security.

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.