Integrating Ai-Enabled Computing Strategies Into Sustainable Development

Erscheinungsjahr 2027
ISBN: 978-0-443-49224-2
Verlag: Elsevier Science

Buch, Englisch, 350 Seiten, Format (B × H): 191 mm x 235 mm

Integrating AI-enabled Computing Strategies into Sustainable Development reveals how artificial intelligence is reshaping the future of sustainable development. The book brings together multidisciplinary insights from AI, environmental science, and social policy, demonstrating how machine learning, predictive analytics, and natural language processing can optimize resource allocation, boost efficiency, and enable adaptive solutions for today’s most pressing global challenges. Inside, discover pioneering applications of AI across ten vital areas, including predictive maintenance for real-time environmental monitoring, AI-optimized energy allocation, smart grids for sustainable communities, precision agriculture, resilient urban planning, long-term climate resilience strategies, circular economy optimization, equitable policy design through NLP, risk assessment in supply chains, and navigating the ethical complexities of AI systems. Integrating AI-enabled Computing Strategies into Sustainable Development is a must-read for researchers, policymakers, engineers, sustainability professionals, environmental scientists, technology strategists, and students seeking actionable guidance and case studies for deploying AI-driven solutions responsibly and effectively in their fields.

Autoren/Hrsg.

Chauhan, Ritu

Prasad, Mukesh

Taherdoost, Hamed

Unhelkar, Bhuvan

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen

Inhaltsverzeichnis

1. Harnessing Machine Learning for Predictive Maintenance and Real-Time Environmental Monitoring in Industrial Ecosystems
2. AI-Optimized Resource Allocation for Energy Efficiency in Smart Urban Infrastructures
3. Smart Grids Powered by AI: Revolutionizing Energy Distribution for Sustainable Communities
4. AI-Enhanced Precision Agriculture: Optimizing Water and Soil Resource Management for Sustainable Yields
5. Building Resilient Smart Cities: AI-Driven Innovations in Green Infrastructure and Urban Planning
6. Leveraging AI for Long-Term Climate Resilience: Predictive Modelling and Adaptive Strategies
7. AI-Powered Circular Economy: Optimizing Waste Management and Resource Recycling
8. Natural Language Processing for Equitable Policy Design: Bridging Social Inequality through AI Insights
9. AI-Driven Risk Assessment in Sustainable Supply Chains: Mitigating Environmental and Ethical Challenges
10. Navigating the Dark Side of AI: Addressing Ethical Risks and Service Failures in Sustainable Human-Machine Systems

Über Autor(innen)

Chauhan, Ritu
Ritu Chauhan is Professor and Head, Centre of Computational Biology and Bioinformatics, Amity University Uttar Pradesh, Noida. She teaches and leads research in artificial intelligence, machine learning, data analytics, and smart systems. She earned her PhD in Computer Science from Jamia Hamdard University, an MTech from IIT Patna, and completed postdoctoral work at the University of Technology Sydney.

Her scholarly contributions include publication in Scopus-indexed and SCI-indexed journals, and she has supervised PhD and MTech students. Her research has resulted in patents related to IoT-based smart authentication and carbon-efficient design systems. She has also authored and edited reference works on next-generation smart systems.

Unhelkar, Bhuvan
Dr. Bhuvan Unhelkar is a distinguished IT professional and professor at the University of South Florida, with adjunct and honorary roles at Western Sydney University and Amity University, India. He holds multiple degrees and specializes in Business Analysis, Software Engineering, Big Data, AI, Agile, and Green IT. With extensive experience across banking, finance, insurance, government, and telecom, he has authored 27 books on AI, Big Data, and Agile practices. A renowned speaker and award-winning expert, Bhuvan is a Fellow of the Australian Computer Society, IEEE Senior Member, and a recognized leader in technology and community service.

Prasad, Mukesh
Dr Mukesh Prasad is a Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to the fields of machine learning, artificial intelligence and the internet of things. Mukesh’s research interests include also big data, computer vision, brain computer interface, and evolutionary computation. He has written more than 120 research papers. Mukesh started his academic career as a lecturer with UTS in 2017 and became a core member of the University’s world-leading Australian Artificial Intelligence Institute (AAII), which has a vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer at the Taiwan Semiconductor Manufacturing Company. Mukesh received his PhD from the Department of Computer Science at the National Chiao Tung University in Taiwan.

Taherdoost, Hamed
Dr. Hamed Taherdoost is an award-winning researcher and educator with over 15 years of experience in academia and industry. He holds a Ph.D. in Computer Science from the Faculty of Computing at Universiti Teknologi Malaysia. Currently, he is the Head of Research and Development at Hamta Business Corporation in B.C., Canada, and serves as an Associate Professor at University Canada West, also teaching at Gisma University of Applied Sciences and Westcliff University. With over 300 publications, 14 books, and significant contributions to technology adoption, cybersecurity, blockchain, and AI, he is ranked among the top 2% of scientists worldwide. His industry roles include CTO and R&D Manager, blending practical insights with academic research.