AI-Driven Technology and Social Sciences for a Sustainable Future

Proceedings of the 1st International ICAISF conference, Istanbul, Turkey, December 6-7, 2024

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Paru le : 2025-08-30



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Description

This book presents a multidisciplinary exploration of sustainable development, integrating themes such as environmental management, social sciences, and AI-driven technology. It covers innovative approaches to sustainability in agriculture, biodiversity, energy, and urban planning, while addressing social equity, human rights, and the role of education. The book also highlights the impact of AI and technology on public health, resource management, and smart cities, alongside discussions on governance, policy, and ethical dimensions of sustainability. With contributions on economic growth, public health, and environmental justice, it serves as a comprehensive guide for advancing global sustainability initiatives.  
Pages
244 pages
Collection
n.c
Parution
2025-08-30
Marque
Springer
EAN papier
9783031926808
EAN PDF
9783031926815

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
22036 Ko
Prix
200,44 €
EAN EPUB
9783031926815

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
20613 Ko
Prix
200,44 €

Alaa Ali Hameed obtained his Master's degree in Computer Engineering from Eastern Mediterranean University in North Cyprus, followed by a Ph.D. from Selcuk University in Turkey. He completed his Postdoctoral research at Istanbul University. He has held academic positions as an Assistant Professor at Istanbul Aydin University and Istanbul Sabahattin Zaim University, and currently serves in the same capacity at Istinye University. Hameed has an impressive record of over 100 publications in prestigious international journals and conferences, demonstrating his prolific contribution to the field. He has also taken on significant leadership roles, including serving as Conference Chair, Program Chair, and Technical Program Committee member for various international conferences. In addition, he has contributed to the academic community as an editor for several books and as a reviewer for numerous journals. His editorial contributions extend to serving as a Guest Editor for several SCIE-indexed journals. Hameed's research interests are diverse and include Data Mining, Machine/Deep Learning, Big Data Analytics, Artificial Intelligence, Digital Signal/Image Processing, and Adaptive Filters. He is also actively involved in multidisciplinary fields such as AI-Driven Technology and Social Sciences for a Sustainable Future. His work in these areas has included organizing conferences and events focusing on Social Sciences, Technology, and AI, further establishing his expertise and influence in these fields. He has actively participated in numerous research activities, further cementing his academic and research contributions.

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