Artificial Intelligence and Data Science for Sustainability: Applications and Methods

Artificial Intelligence and Data Science for Sustainability: Applications and Methods

Pages: 300
DOI: 10.4018/979-8-3693-6829-9
ISBN13: 9798369368299|ISBN13 Softcover: 9798369368305|EISBN13: 9798369368312
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Description & Coverage
Description:

The proposed publication, titled "Applied Artificial Intelligence for Sustainability," aims to explore the applications of artificial intelligence (AI) techniques and methodologies in addressing various sustainability challenges. The book will bring together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains, such as energy, transportation, agriculture, waste management, urban planning, and environmental protection. The publication will delve into the intersection of AI and sustainability, showcasing how AI technologies, including machine learning, deep learning, computer vision, natural language processing, and optimization algorithms, can be harnessed to develop innovative solutions for environmental, economic, business, and social sustainability challenges.

This publication will have a significant impact on the research community by bringing together researchers and practitioners from various fields, including business & economics, management, computer science, environmental science, engineering, urban planning, and sustainable development, the book will promote cross-pollination of ideas and facilitate interdisciplinary collaborations.

The primary intended audience for this publication includes Researchers and scholars from various disciplines, such as computer science, environmental science, engineering, urban planning, and sustainable development, who are interested in exploring the applications of AI for sustainability. Professionals working in industries related to sustainability, such as energy, transportation, agriculture, waste management, and urban planning, who seek to understand and implement AI-driven solutions for sustainable practices. Government officials, policymakers, and decision-makers involved in sustainability initiatives and environmental policies, who can benefit from insights and recommendations on leveraging AI for sustainable development. Students pursuing advanced degrees in relevant fields, such as computer science, environmental science, engineering, and sustainable development, who are interested in exploring the intersection of AI and sustainability.

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Editor/Author Biographies

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.

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