Inventive Communication and Computational Technologies: Proceedings of Icicct 2024

Ranganathan, G. (Editor)/ Papakostas, George A. (Editor)/ Shi, Yong (Editor)

ISBN 10: 9819777097 / ISBN 13: 9789819777099

Edité par Springer-Nature New York Inc, 2024

A propos de cet article

1007 pages. 9.25x6.10x9.09 inches. In Stock.

N° de réf. du vendeur x-9819777097

Détails bibliographiques

• Titre: Inventive Communication and Computational Technologies: Proceedings of Icicct 2024
• Éditeur: Springer-Nature New York Inc
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 9819777097
• ISBN à 13 chiffres: 9789819777099
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

This book gathers selected papers presented at the 8th International Conference on Inventive Communication and Computational Technologies (ICICCT 2024), held on June 14–15, 2024, at Sree Sakthi Engineering College, Coimbatore, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.

À propos de l?auteur

Dr. G. Ranganathan is working as a principal in Sree Sakthi Engineering College, Coimbatore, India. He has done his Ph.D. in the Faculty of Information and Communication Engineering from Anna University, Chennai, in the year 2013. His research thesis was in the area of bio-medical signal processing. He has a total of 30+ years of experience in industry, teaching, and research. He has guided several project works for many UG and PG students in the areas of bio-medical signal processing. He has published more than 35 research papers in international and national journals and conferences. He has also co-authored many books in electrical and electronics subjects. He has served as a referee for many reputed international journals published by Elsevier, Springer, Taylor and Francis, etc.

George A. Papakostas received the Diploma, M.Sc., and Ph.D. degrees in electrical and computer engineering from the Democritus University of Thrace (DUTh), Greece, in 1999, 2002, and 2007, respectively. Currently, he is a tenured Full Professor with the Department of Informatics, DUTh, Kavala, Greece. He has 15 years of experience in large-scale systems design, as a senior software engineer and a technical manager. He is also the Head of the Machine Learning and Vision (MLV) Research Group. He has (co)authored more than 250 publications in indexed journals, international conferences, and book chapters, one book (in Greek), two edited books, and eight journal special issues. His publications have more than 4900 citations with H-index 38 (Google Scholar). His research interests include machine learning, computer/machine vision, pattern recognition, and computational intelligence. He is a member of the IAENG, MIR Labs, EUCogIII, and the Technical Chamber of Greece (TEE). He served as a reviewer for numerous journals and conferences.

Dr. Yong Shi currently is working as an associate/tenured professor of Computer Science at Kennesaw State University, and director/coordinator of the Master of Computer Science. He is the responsible for directing the Master of Computer Science program and reviewing applications for the Master of Computer Science. He has published more than 50 articles in national and international journals. He acted as an editor, reviewer, editorial board member, and program committee member in many reputed journals and conferences. His research interest includes cloud computing, big data, and cybersecurity.