Overview
- Presents research works in the field of distributed computing and machine learning
- Shows results of ICADCML 2022 held at National Institute of Technology, Warangal, Telangana, 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 427)
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Table of contents (61 papers)
Keywords
About this book
Editors and Affiliations
About the editors
Soumya Kanti Ghosh is currently Professor in the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (IIT Kharagpur), India. His primary areas of research include Geospatial Databases and Services, Cloud Computing and Security. Prior to IIT Kharagpur, he worked for Indian Space Research Organization in area of remote sensing and geographic information systems for natural resource management. He did his Ph.D. and M.Tech. in Computer Science, from Department of Computer Science & Engineering, IITKharagpur. He did his B.E. in Electronics and Communication Engineering from National Institute of Technology (formerly, Regional Engineering College), Durgapur, India.
Prasanta K. Jana received the M.Tech. degree in computer science from the University of Calcutta, Kolkata, India, in 1988, and the Ph.D. degree from Jadavpur University, Kolkata, India, in 2000. He is currently Professor with the Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He has contributed 210+ research publications in his credit and coauthored five books and three book chapters. He has also supervised 15+ Ph.D. candidates. As a recognition of his outstanding research contributions, he has been awarded Senior Member of IEEE in 2009. He is also Recipient of Canara Bank Research Publication Award in the year 2015 and 2017. He is also among the world ranking of top 2% (all fields) Indian scientists in Artificial Intelligence surveyed by Stanford University, USA, published in November 2020. His current research interests include wireless sensor networks, cloud computing and machine learning.
Asis Kumar Tripathy is 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 of Technology, 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 Program Committee Member in several conferences of repute. He has also been involved in many professional and editorial activities. He is Senior Member of IEEE and Member of ACM.
Jyoti Prakash Sahoo is Senior Member, IEEE, and Experienced Assistant Professor with a demonstrated history of working in engineering education. Currently, he is working in the Department of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha ’O’ Anusandhan (Deemed to be University) for the last 10 years. Prior to joining Siksha ’O’ Anusandhan, he also worked as Assistant Professor with CV Raman College of Engineering, Bhubaneswar (now C. V. Raman Global University). He is having more than 12 years of academic and research experience in computer science and engineering education. He has published several research papers in various international journals and conferences. He is also serving many journals and conferences as Editorial or Reviewer Board Member. He is having expertise in the field of cloud computing and machine learning. 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. Furthermore, he is associated with various educational and research societies like IET, IACSIT, IAENG, etc.
Kuan-Ching Li is currently appointed as Distinguished Professor at Providence University, Taiwan. He is 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 Program committee member and has organized numerous conferences related to high-performance computing and computational science and engineering. Professor Li is 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 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 Member of the AAAS, Senior Member of the IEEE and Fellow of the IET.
Bibliographic Information
Book Title: Advances in Distributed Computing and Machine Learning
Book Subtitle: Proceedings of ICADCML 2022
Editors: Rashmi Ranjan Rout, Soumya Kanti Ghosh, Prasanta K. Jana, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Kuan-Ching Li
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-19-1018-0
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. 2022
Softcover ISBN: 978-981-19-1017-3Published: 28 July 2022
eBook ISBN: 978-981-19-1018-0Published: 27 July 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XXX, 719
Number of Illustrations: 45 b/w illustrations, 252 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Artificial Intelligence