Hitesh Mohapatra received the B.E. degree in Information Technology from Biju Patnaik University of Technology (BPUT), Odisha in 2006, and the MTech. Degree in CSE from Odisha University of Technology and Research (OUTR) University, Odisha in 2009. He received his Ph.D. in Computer Science & Engineering in 2021 from Veer Surendra Sai University of Technology (VSSUT), Burla, India. He has contributed 30 SCI and Scopus indexed research papers, 21 international/national conferences and books on Software Engineering and C Programming respectively. He has 15 years of teaching experience both in industry and academia. He has served the research community with various capacities like session chair, technical chair, keynote speaker etc. His research interests include wireless sensor network, smart city, smart grid and smart water. Currently he is working as Associate professor at School of Computer Engineering, KIIT DU, Bhubaneswar, and Odisha.
Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Canada, in 2011. He is the "advisor to the chairman of the board of trustees on AI and informatics" at Near East University (NEU), Nicosia, and the "associate dean for research" at the faculty of engineering in the same university. Prof. Al-Turjman is the head of Artificial Intelligence (AI), Information Systems, and Software Engineering Departements, and the director for the AI and Robotics Institute and the International Research Center for AI and IoT at NEU. He has been awarded the lifetime golden-award of Dr. Suat Gunsel from Near East University for the year 2022, in addition to several other recognitions and best research awards at key international venues. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 600 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 100 books about AI, cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers such as IEEE, Taylor and Francis, Elsevier, IET, and Springer. Prof. Al-Turjman has led a number of international conferences and workshops in flagship AI and IoT societies. Currently, he serves as a book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 10.8), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.
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Hardcover. Etat : new. Hardcover. AI increases growth in data center infrastructure, enabling advances in machine learning, cloud computing, and digital services. However, the expansion of AI data centers raises concerns about environmental sustainability, particularly regarding their water and energy consumption. Water is essential for cooling servers and maintaining operational efficiency yet increasing demand places stress on local water resources. As governments, technology companies, and communities grapple with the environmental implications of AI development, questions of governance, transparency, and resource management become important. Emerging innovations in cooling technologies, water recycling systems, and sustainable facility design may help reduce environmental impacts. Examining the intersection of AI data centers and water sustainability reveals how technological progress can be balanced with responsible environmental stewardship. AI Data Centers and Water Sustainability: Environmental Impacts, Governance, and Innovation explores how the rapid growth of AI data centers affects water resources and environmental sustainability through their cooling and operational requirements. It examines the governance frameworks, corporate responsibilities, and technological innovations that reduce water consumption, improve transparency, and support more sustainable AI infrastructure. This book covers topics such as data science, sustainable development, and water resources, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798260027615
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Hardcover. Etat : new. Hardcover. AI increases growth in data center infrastructure, enabling advances in machine learning, cloud computing, and digital services. However, the expansion of AI data centers raises concerns about environmental sustainability, particularly regarding their water and energy consumption. Water is essential for cooling servers and maintaining operational efficiency yet increasing demand places stress on local water resources. As governments, technology companies, and communities grapple with the environmental implications of AI development, questions of governance, transparency, and resource management become important. Emerging innovations in cooling technologies, water recycling systems, and sustainable facility design may help reduce environmental impacts. Examining the intersection of AI data centers and water sustainability reveals how technological progress can be balanced with responsible environmental stewardship. AI Data Centers and Water Sustainability: Environmental Impacts, Governance, and Innovation explores how the rapid growth of AI data centers affects water resources and environmental sustainability through their cooling and operational requirements. It examines the governance frameworks, corporate responsibilities, and technological innovations that reduce water consumption, improve transparency, and support more sustainable AI infrastructure. This book covers topics such as data science, sustainable development, and water resources, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798260027615
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Hardcover. Etat : new. Hardcover. AI increases growth in data center infrastructure, enabling advances in machine learning, cloud computing, and digital services. However, the expansion of AI data centers raises concerns about environmental sustainability, particularly regarding their water and energy consumption. Water is essential for cooling servers and maintaining operational efficiency yet increasing demand places stress on local water resources. As governments, technology companies, and communities grapple with the environmental implications of AI development, questions of governance, transparency, and resource management become important. Emerging innovations in cooling technologies, water recycling systems, and sustainable facility design may help reduce environmental impacts. Examining the intersection of AI data centers and water sustainability reveals how technological progress can be balanced with responsible environmental stewardship. AI Data Centers and Water Sustainability: Environmental Impacts, Governance, and Innovation explores how the rapid growth of AI data centers affects water resources and environmental sustainability through their cooling and operational requirements. It examines the governance frameworks, corporate responsibilities, and technological innovations that reduce water consumption, improve transparency, and support more sustainable AI infrastructure. This book covers topics such as data science, sustainable development, and water resources, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798260027615
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Buch. Etat : Neu. AI Data Centers and Water Sustainability | Environmental Impacts, Governance, and Innovation | Hitesh Mohapatra (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260027615 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 135919818
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI increases growth in data center infrastructure, enabling advances in machine learning, cloud computing, and digital services. However, the expansion of AI data centers raises concerns about environmental sustainability, particularly regarding their water and energy consumption. Water is essential for cooling servers and maintaining operational efficiency yet increasing demand places stress on local water resources. As governments, technology companies, and communities grapple with the environmental implications of AI development, questions of governance, transparency, and resource management become important. Emerging innovations in cooling technologies, water recycling systems, and sustainable facility design may help reduce environmental impacts. Examining the intersection of AI data centers and water sustainability reveals how technological progress can be balanced with responsible environmental stewardship. AI Data Centers and Water Sustainability: Environmental Impacts, Governance, and Innovation explores how the rapid growth of AI data centers affects water resources and environmental sustainability through their cooling and operational requirements. It examines the governance frameworks, corporate responsibilities, and technological innovations that reduce water consumption, improve transparency, and support more sustainable AI infrastructure. This book covers topics such as data science, sustainable development, and water resources, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and environmental scientists. N° de réf. du vendeur 9798260027615
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