AI and Intelligent Systems for Sustainable Industrial and Environmental Applications

AI and intelligent systems address global industrial and environmental challenges by enabling smarter, more efficient, and sustainable solutions. Through technologies like machine learning, automation, sensor networks, and predictive analytics, AI optimizes energy use, reduces waste, improves resource management, and minimizes environmental impact. These intelligent systems apply to renewable energy, smart manufacturing, climate monitoring, agriculture, and pollution control for sustainable development and long-term environmental protection. As the demand for greener technologies grows, AI-driven innovations may help balance industrial progress with environmental responsibility. AI and Intelligent Systems for Sustainable Industrial and Environmental Applications explores how AI and intelligent systems improve sustainability, efficiency, and productivity in industrial and environmental sectors. It examines the role of AI technologies in addressing challenges like energy management, pollution reduction, climate monitoring, resource optimization, and sustainable industrial development. This book covers topics such as environmental science, manufacturing, and sustainable development, and is a useful resource for business owners, engineers, academicians, researchers, and environmental scientists.

Kamalakanta Muduli , is presently working as Associate Professor and Head of the School of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Morobe Province, Papua New Guinea. He is also a Visiting Researcher at University of Derby, UK. He has obtained PhD from School of Mechanical Sciences, IIT Bhubaneswar, Orissa, India. Dr Muduli has over 21 years of academic experience in Universities in India and Papua New Guinea. Dr Muduli is a recipient of ERASMUS+ KA107 award provided by European Union. He has published 106 papers in peer reviewed international journals most of which are indexed in Clarivate analytics, Scopus and listed in ABDC and more than 37 papers in National and International Conferences. He has been also guest edited 10 Special Issues in journals and 21 books published by Springer, Taylor and Francis, MDPI, CRC Press, Wiley Scrivener and Apple Academic Press. Dr Muduli also has supervised four PhD students. His current research interest includes Manufacturing, Sustainable supply chain management, and Industry 4.0 applications in operations and supply chain management. Dr Muduli is a fellow of Institution of Engineers India. He is also a senior member of Indian Institution of Industrial Engineering, member of American Society of Mechanical Engineers(ASME) and Professional member of Industrial Engineering and Operations Management(IEOM) Society.

Sujoy Kumar Jana presently working as Professor and Course Coordinator, MSc in Remote Sensing and GIS at School of Surveying and Land Studies at the Papua New Guinea University of Technology, Papua New Guinea. He having 25 years of extensive work on research, teaching, training and administrative in the university system. He also consults on disaster risk governance and policy, vulnerability and risk assessment, land use land cover mapping, capacity development of decision-makers, river and coastal resilience, critical infrastructure functional risk and urban planning. He has more than 4 books and 50 papers in international and national peer-reviewed journals. His professional activities include roles as editor, editorial board member and reviewer of international journals.

Rashmi Prava Das did her Bachelors in Computer Science and Engineering from North Orissa University and Masters in Computer Science from Birla Institute of Technology, Meshra. She has around 12 years of teaching and research experience in various degree level engineering colleges in Odisha as lecturer, Senior lecturer and Assistant Professor. She did her PhD from CV Raman Global University. She had also supervised few master’s thesis. She has published research papers in international journals, conferences and books as chapters.

Indrajit Pal Indrajit Pal is a former member of the Board of Directors for the Global Alliance of Disaster Research Institutes (GADRI), Japan. Dr. Pal is also an Adjunct Professor at Chulalongkorn University Social Research Institute, Thailand. He served as a faculty member at Centre for Disaster Management at Lal Bahadur Shastri National Academy of Administration, Mussoorie, India (A Premier National Institute for training Indian Administrative Services Officers). Dr. Pal holds doctoral and two master’s degrees, e.g., Applied Geology and Sociology with urban sociology specialization. Indrajit having more than 16 years of experience on research, teaching, training, advocacy, consultancy primarily focused on Disaster Governance, Risk Management, Incident Command System, Disaster Risk Reduction, Hazard and Risk Assessment, Risk Perceptions, Participatory DRM, Public Health Risk, GIS & Remote Sensing in DRM, Climate Change Adaptation and disaster risk management. Indrajit is reviewer of more than ten international journals and has published number of books and research articles in refereed national and international journals. Indrajit is a member of Board of Directors for the Global Alliance of Disaster Research Institutes (GADRI), Japan