Integrating AI-enabled Computing Strategies into Sustainable Development

Integrating AI-enabled Computing Strategies into Sustainable Development reveals how artificial intelligence is reshaping the future of sustainable development, bringing 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, and more.Additional chapters delve into 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. This 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.

Dr. Ritu Chauhan is a Professor and Head at the Centre for Computational Biology and Bioinformatics, Amity University, India, with over 20 years of experience in academia and research. She holds a Ph.D. in Computer Science from Jamia Hamdard University and an M.Tech from IIT Patna. She has also completed postdoctoral research at Pennsylvania State University (USA), University of Technology Sydney (Australia), and Hankuk University of Foreign Studies (South Korea). Her research expertise lies in Artificial Intelligence, Data Science, Health Informatics, IoT, and Smart Systems, with a strong focus on developing AI-driven solutions for healthcare and sustainable systems. She has published 100+ peer-reviewed papers in reputed international journals and conferences indexed in Scopus and SCI. Dr Mukesh Prasad is an Associate Professor in the School of Computer Science, Faculty of Engineering and IT at the University of Technology Sydney (UTS). He has made significant contributions to the fields of Machine Learning, Artificial Intelligence, Data Analytics, and Natural Language Processing. His research interests also span several emerging areas, including Big Data, Computer Vision, Brain-Computer Interfaces, Evolutionary Computation, and the Internet of Things (IoT). He has authored more than 200 peer-reviewed research papers in leading journals and conferences, including publications in high-impact venues. His academic achievements are complemented by strong industry experience. He served as Principal Engineer at Taiwan Semiconductor Manufacturing Company (TSMC) from 2016–2017, where he developed advanced image processing and pattern recognition algorithms using machine learning. He was a postdoctoral researcher leading a Big Data and computer vision team at National Chiao Tung University, Taiwan (2015). 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. 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