Integrating AI-enabled Computing Strategies into Sustainable Development
- 1st Edition - November 1, 2026
- Latest edition
- Editors: Ritu Chauhan, Mukesh Prasad, Hamed Taherdoost, Bhuvan Unhelkar
- Language: English
Integrating AI-enabled Computing Strategies into Sustainable Development reveals how artificial intelligence is reshaping the future of sustainable development, bringing togeth… Read more
Description
Description
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.
Key features
Key features
- Integrates insights from various disciplines, including AI, to develop comprehensive and contextually relevant solutions
- Includes issues related to fairness, transparency, accountability, and privacy, ensuring that AI technologies are deployed responsibly
- Illustrates how AI is being applied to address specific sustainability challenges across different sectors and regions through case studies and examples
- Considers policy implications of integrating AI into sustainable development strategies, including regulatory frameworks, governance mechanisms, and international cooperation
Readership
Readership
Table of contents
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 1, 2026
- Language: English
About the editors
About the editors
RC
Ritu Chauhan
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.
MP
Mukesh Prasad
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).
HT
Hamed Taherdoost
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.
BU
Bhuvan Unhelkar
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.