Advances in Distributed Computing and Machine Learning
Springer Nature (Verlag)
978-981-97-3522-8 (ISBN)
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Umakanta Nanda has received the MTech and PhD degrees in Electronics and Communication Engineering from National Institute of Technology, Rourkela, India in 2010 and 2017 respectively. He is currently working as an Associate Professor and Dean of School of Electronics Engineering at VIT-AP University, India. He has a total 14 years of teaching and research experience in different educational institutions. He has guided more than 20 UG and PG student projects. He has guided 1 PhD scholar and four others are working under him in areas like Analog and Mixed signal integrated circuits, beyond CMOS devices and circuits, application specific processor design and embedded systems design. He has published more than 75 research papers including reputed SCI and SCOPUS indexed journals, conference proceedings and book chapters. He is also co-inventor of 6 patents which have been published. He has successfully conducted many workshops, FDPs, STTPs, seminars, value added courses, training programs, and conferences. He has also worked as reviewer and editor of numerous journals and conferences. Asis Kumar Tripathy is a 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 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. Jyoti Prakash Sahoo is a Senior Member, IEEE, and an experienced Assistant Professor with a demonstrated history of working in engineeringeducation. Currently, he is working in the Dept 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 an 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 an 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-academiacollaboration, student enablement, and pedagogical learning. Furthermore, he is associated with various educational and research societies like IET, IACSIT, IAENG, etc. Mahasweta Sarkar is currently working as a Professor of the department of Electrical and Computer Engineering and Senior Associate Dean, Global Campus in San Diego State University. Her M.S and Ph.D. degrees were completed at the University of California, San Diego (UCSD) in 2003 and 2005 respectively. She received her B.S. degree in Computer Science & Engineering (Summa Cum Laude) in May 2000 from San Diego State University. Dr.Sarkar is a recipient of the "President's Leadership Award for Faculty Excellence" for the year 2010. She delivered invited lectures and keynotes in different universities spread all over the globe. The talks were on Wireless Body Area Networks, and Brain-Computer Interface. Her research interest lies in the area of MAC layer power management algorithms and Quality-of-Service issues and protocols in WLANs, WMANs, WBANs, sensor networks, and wireless ad-hoc networks. She has published over eighty research papers in these fields in various International Journals and Conferences of high repute. 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.
| Erscheinungsdatum | 06.08.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Networks and Systems |
| Zusatzinfo | 216 Illustrations, color; 24 Illustrations, black and white; XX, 482 p. 240 illus., 216 illus. in color. |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Kryptologie | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Blockchain • Cloud Computing • Deep learning • Distributed Computing • Distributed Systems • ICADCML 2024 Proceedings • IOT • machine learning • Recommender Systems |
| ISBN-10 | 981-97-3522-X / 981973522X |
| ISBN-13 | 978-981-97-3522-8 / 9789819735228 |
| Zustand | Neuware |
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