Overview

The integration of artificial intelligence (AI) and data science (DS) into sustainability efforts is increasingly crucial as the world faces environmental and resource challenges. By leveraging advanced AI and DS techniques, we can create innovative solutions for sectors like energy, agriculture, and waste management, promoting long-term sustainability. These technologies have the potential to optimize processes, reduce environmental footprints, and support smarter decision-making across industries. Ultimately, AI and DS are key to advancing both the efficiency and impact of sustainability efforts, contributing to a more sustainable future for society at large. Artificial Intelligence and Data Science for Sustainability: Applications and Methods explores the application of AI and DS techniques and methodologies in addressing various sustainability challenges. It brings together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains. Covering topics such as structural optimization, drone imagery, and development financing, this book is an excellent resource for computer scientists, computer engineers, urban planners, sustainability professionals, government officials, policymakers, researchers, professionals, scholars, academicians, and more.

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Muhammad Syafrudin received the bachelor’s degree from Universitas Islam Negeri Sunan Kalijaga at Yogyakarta, Yogyakarta, Indonesia, in 2013, and the Ph.D. degree from Dongguk University, Seoul, South Korea, in 2019. He has been an Assistant Professor with the Department of Artificial Intelligence, Sejong University, Seoul, since March 2022. Previously, he worked as an Assistant Professor with the Department of Industrial and Systems Engineering, Dongguk University, from 2019 to 2022. He is also an Instructor in a practical course on undergraduate topics in linear algebra, programming languages, databases, and big data systems. He has published numerous research articles in several international peer-reviewed journals, including Expert Systems with Applications, IEEE Access, Food Control, Sensors, and Mathematics. His research interests include industrial artificial intelligence (IAI), industrial analytics (IA), industrial informatics (II), the Industrial Internet of Things (IIoT), and industrial big data (IBD), ranging from theory to design and implementation. He is a Reviewer for well-known journals, such as Expert Systems with Applications, IEEE Transactions on Industrial Informatics, Computers & Industrial Engineering, and Algorithms. He has served as the guest editor for Scopus-and-Sciences Citation Index (SCI)-indexed journals. Norma Latif Fitriyani has been an assistant professor at Sejong University, since March 2022. Norma Latif Fitriyani received the B.Eng. from the UIN Sunan Kalijaga in 2014, the Master of Information Management from the National Taiwan University of Science and Technology in 2016, and the Doctor of Engineering from Dongguk University in 2021. Norma Latif Fitriyani is also the director of the Data Driven Decisions Lab, focusing on the application of data mining and analysis, health informatics, machine learning, statistical learning, image processing, and artificial intelligence. Muhammad Anshari has been named on the Stanford University List of Top 2% World Researchers in 2022 for the categories of ICT, Business & Management. Currently, he serves as Deputy Director Institute of Policy Studies and Academic Staff at School of Business & Economics, Universiti Brunei Darussalam. His professional experience started when he was IT Business Analyst at Astra International. Research Fellowship from The Government Republic of China (Taiwan) at National Taiwan University (Jan-Dec, 2014). Research Fellowship from King Saud University - the Kingdom of Saudi Arabia 2009. Senior Associate Researcher of Informatics Department, Universitas Islam Negeri Yogyakarta, Indonesia.

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