Overview
- Presents research works in the field of distributed computing and machine learning
- Results of ICADCML 2023 held at National Institute of Technology, Rourkela, Odisha, India
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 660)
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Table of contents (51 papers)
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Front Matter
Keywords
About this book
This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
Editors and Affiliations
About the editors
Suchismita Chinara is currently working as an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology, India. She has received her M.E. degree in 2001 and Ph.D. in 2011 from the Department of Computer Science and Engineering, National Institute of Technology, Rourkela. She has authored and co-authored multiple peer-reviewed scientific papers and presented works at many national and international conferences. Her contributions have acclaimed recognition from honorable subject experts around the world. Her academic career is decorated with several reputed awards and funding. Her research interest includes wireless network, ad hoc network and MANET.
Asis Kumar Tripathy is an Associate Professor in the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has more than ten years of teaching experience. He completed his Ph.D. from the National Institute ofTechnology, Rourkela, India, in 2016. His areas of research interests include wireless sensor networks, cloud computing, Internet of things and advanced network technologies. He has several publications in refereed journals, reputed conferences and book chapters to his credit. He has served as a program committee member in several conferences of repute. He has also been involved in many professional and editorial activities. He is a senior member of IEEE and a member of ACM.
Kuan-Ching Li is currently appointed as Distinguished Professor at Providence University, Taiwan. He is a recipient of awards and funding support from several agencies and high-tech companies, as also received distinguished chair professorships from universities in several countries. He has been actively involved in many major conferences and workshops in program/general/steering conference chairman positions and as a program committee member, and has organized numerous conferences related to high-performance computing and computational science and engineering. Professor Li is the Editor-in-Chief of technical publications Connection Science (Taylor & Francis), International Journal of Computational Science and Engineering (Inderscience) and International Journal of Embedded Systems (Inderscience), and serves as associate editor, editorial board member and guest editor for several leading journals. Besides publication of journal and conference papers, he is the co-author/co-editor of several technical professional books published by CRC Press, Springer, McGraw-Hill, and IGI Global. His topics of interest include parallel and distributed computing, Big Data, and emerging technologies. He is a Member of the AAAS, a Senior Member of the IEEE, and a Fellow of the IET.
Jyoti Prakash Sahoo is an experienced Assistant Professor, and a Senior Member of IEEE, currently working at the Dept of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha ’O’ Anusandhan (Deemed to be University). He previously worked as an Assistant Professor with CV Raman College of Engineering, Bhubaneswar (now C. V. Raman Global University). He is an active member of several academic research groups including the Scalable Adaptive Yet Efficient Distributed (SAYED) Systems Group at the Queen Mary University of London, the Intelligent Computing & Networking (ICN) Research Group at East China Normal University, and the Modern Networking Lab at National Taiwan University of Science and Technology. He is having expertise in the field of Edge Computing and Machine learning. He is also serving many journals and conferences as an editorial or reviewer board member. He served as Publicity Chair, Web Chair, Organizing Secretary, and Organizing Member of technical program committees for many national and international conferences. Being a WIPRO Certified Faculty, he has also contributed to industry-academia collaboration, student enablement,and pedagogical learning.
Alekha Kumar Mishra received the Ph.D. degree from NIT Rourkela, Rourkela, India. He is currently a faculty member with the National Institute of Technology at Jamshedpur, Jamshedpur, India. He has been actively involved in many major conferences and workshops in program/general/steering conference chairman positions and as a program committee member. He has published several research papers in various international journals and conferences. His current research interests include Internet of Things, WSN, and security. He is a senior member of IEEE.
Bibliographic Information
Book Title: Advances in Distributed Computing and Machine Learning
Book Subtitle: Proceedings of ICADCML 2023
Editors: Suchismita Chinara, Asis Kumar Tripathy, Kuan-Ching Li, Jyoti Prakash Sahoo, Alekha Kumar Mishra
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-99-1203-2
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Softcover ISBN: 978-981-99-1202-5Published: 28 June 2023
eBook ISBN: 978-981-99-1203-2Published: 27 June 2023
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XIV, 607
Number of Illustrations: 53 b/w illustrations, 211 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Machine Learning, Professional Computing, Cyber-physical systems, IoT