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This textbook provides a comprehensive and structured approach to technology-driven green growth, integrating advanced digital tools with sustainability strategies to optimize environmental development through economic and social outcomes. It covers areas such as artificial intelligence, Internet of Things, digital twins, renewable energy systems, and circular economy models, demonstrating how these technologies can be applied to enhance resource efficiency, reduce emissions, and strengthen resilient ecosystems. Designed around three thematic parts, such as foundations, technological…mehr

Produktbeschreibung
This textbook provides a comprehensive and structured approach to technology-driven green growth, integrating advanced digital tools with sustainability strategies to optimize environmental development through economic and social outcomes. It covers areas such as artificial intelligence, Internet of Things, digital twins, renewable energy systems, and circular economy models, demonstrating how these technologies can be applied to enhance resource efficiency, reduce emissions, and strengthen resilient ecosystems.
Designed around three thematic parts, such as foundations, technological innovations, and social inclusion, the textbook combines theoretical concepts with practical applications. Case studies on smart cities, sustainable food systems, industrial decarbonization, and biodiversity conservation enable students to link academic knowledge with real-world sustainability challenges. Book review exercises, advanced exercises, and discussion prompts foster critical thinking and problem-solving skills.
Intended for advanced undergraduate and graduate students, educators, and sustainability professionals, this textbook can serve as a main textbook, resource, and practical reference. It supports curriculum development, guided learning, and applied projects, and provides the knowledge and tools necessary to understand, analyze, and implement inclusive, scalable, and technology-driven solutions for green growth.
Autorenporträt
Wasswa Shafik, born in Makindye, Kampala City, Uganda, is a Computer Scientist, Information Technologist, Founder, and Research Director at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He received his Bachelor’s in information technology engineering with a minor in mathematics at Ndejje University, Luweero, Uganda, and a Master’s in information technology engineering (communication and computer networks option) at Yazd University, Yazd, Islamic Republic of Iran. He pursued his PhD in digital science (computer science) at the School of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam. His research broadly examines, integrates, and focuses on developing computationally and statistically efficient models and algorithms to address complex questions about artificial intelligence and machine learning problems. His specific research interests include sustainable development, smart agriculture, computer vision, ecological informatics, applied artificial intelligence, the Internet of Things, cybersecurity and privacy, and smart computing. He has authored, coauthored, edited, coedited, and published hundreds of peer-reviewed books, technical papers, and journal papers, and numerous IEEE international conference papers. His “Hirsch index” is 20+ (source: Scopus Author ID 57210203704). He is the coeditor of Blockchain Technologies for Smart Circular Economy and Organisational Sustainability and Transforming Healthcare Sector Through Artificial Intelligence and Environmental Sustainability (Springer Nature, 2025 and 2024, respectively). He is a member of IEEE and served as a reviewer of several international journals indexed in Scopus, Compendex (Elsevier Engineering Index), and WoS He served in different capacities as department support for mathematics for data science, physical computing for intelligence systems, advanced topics in computing, advanced algorithms, and system performance and evaluation. Prior to this, as a department fellow, he served as a research associate at the Intelligent Network Laboratory in Iran. He served in different capacities as a Community Data Officer at the Programme for Accessible Health, Communication and Education; Research Associate and Data Manager at Population Services International; Data Manager and Research Assistant at the Socio-economic Data Center; Research Lead at TechnoServe; and Ag. Chief Executive Officer at Asmaah Charity Organisation.