Artificial Intelligence and Data Science for Sustainability: Applications and Methods

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.

Muhammad Syafrudin currently works with the Department of Artificial Intelligence at Sejong University, Seoul, Korea, since March 2022. Previously, he worked with Dongguk University for 3 years as assistant professor and 5 years as graduate researcher. He carries out research and development (R&D) in Industrial Artificial Intelligence (IAI), Big data, IoT, Informatics, etc. He is also an instructor with practical course on undergraduate topics in programming languages, linear algebra, big data and database systems.

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.