Introduction
Learn how artificial intelligence is reshaping sustainable development across engineering domains with AI-Driven Technologies for Sustainable Engineering. The book demonstrates how AI-infused solutions can strengthen resilience, enhance efficiency, and support global sustainability goals.
Spanning topics ranging from IoT, healthcare, water systems, smart cities, to nanotechnology, education, and renewable energy, each chapter presents in-depth discussions supported by real-world case studies, illustrating how intelligent systems from automation to predictive analytics are reducing environmental impact and enabling responsible innovation. Challenging the perception that technology contributes primarily to degradation, this book highlights how data-driven intelligence can instead reverse harmful trends and serve as a catalyst for sustainable transformation.
Key Features
- - Covers diverse AI applications across engineering fields including renewable energy, healthcare, education, transportation, and smart infrastructure.
- - Aligns AI-enabled solutions with the United Nations Sustainable Development Goals (SDGs).
- - Bridges research and real-world practice through detailed case studies and applied examples.
- - Presents insights from leading experts, offering a multidisciplinary understanding of sustainable engineering.
Target Readership:
Graduate students, AI practitioners, data scientists, and technology strategists.