Cyber Technologies and Emerging Sciences : ICCTES 2021
Language: English
Published by Springer, 2022
- Softcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 158.12
Quantity: 1 available
Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - The book is a collection of best selected research papers presented atInternational Conference on Cyber-Technologies and Emerging Sciences (ICCTES 2021), organized by Graphic Era Hill University, Bhimtal Campus, Uttarakhand, India, during 17 - 18 December 2021. The book covers state-of-the-art applications, innovative methods, and analyze the unexplored and unsolved challenges to establish the relative solutions to advance the existing applications and theories of Cyber-Technologies and Emerging Sciences.
Seller Inventory # 9789811925375
- Title
- Cyber Technologies and Emerging Sciences : ICCTES 2021
- Author
- Sudhanshu Maurya
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9811925372
- ISBN 13
- 9789811925375
- Item weight
- 768 grams
- Dimensions
- 235x155x28 mm
"Synopsis" may belong to another edition of this title.
About the Author
Sateesh K. Peddoju is currently working as an Associate Professor at the Indian Institute of Technology Roorkee, India. He is the Senior Member of ACM and IEEE, and recipient of Cloud Ambassador Award from AWS Educate, IBM SUR Award, Microsoft Educate Award, university merit scholarship, best teacher award in his previous employment, best paper/presentation awards, and travel grants. To his credit, he has one book, edited three books, and many publications on top-tier conferences and journals. He has received several grants from different funding sources. He is guiding many doctoral, master's, bachelor's, and intern students. He has organized many conferences, acted as the Program Chair and General Chair for many conferences. He has been contributing to society as a committee member at national and international forums. His research interests include Cloud Computing (Cloud, Edge, and Fog), Ubiquitous Computing (Mobile, Pervasive, and IoT), and Security (Network, Cloud, IoT, Mobile, and Blockchain).
Prof. Ir. Ts. Dr. R. Badlishah Ahmad is Professor in Computer and Communication System at Universiti Malaysia Perlis (UniMAP). He was appointed as Vice Chancellor at Universiti Malaysia Perlis (UniMAP), Malaysia (15 May 2019 - 27 March 2021) and Deputy Vice Chancellor at Universiti Sultan Zainal Abidin (UniSZA) since March 2017 to May 2019. He was the Dean at the School of Computer and Communication Enginering and also the Head of Embedded Computing Research Cluster, Universiti Malaysia Perlis (UniMAP) since January 2005 to February 2017. He obtained Bachelor of Engineering with Honors (B.Eng. (Hons)) in Electrical & Electronic Engineering from Glasgow University in 1994. He continued his Master of Sciences (M.Sc.) in Optical Electronic Engineering at University of Strathclyde and graduated in 1995. He then continues his study at PhD level at the same university and completed in 2000. Hehas authored and coauthored more than 375 conferences / journal papers, more than 3500 citations, i10-index 99 and h-index is 26. His research interests are in computer and telecommunication network modelling, optical networking and embedded system based on GNU/Linux.
I. Chihi is a Guest Professor in Electrical Engineering, University of Luxembourg, The Faculty of Science, Technology and Medicine (FSTM) and an Associate Professor on Automation and Industrial Computing at the National Engineering School of Bizerta, Tunisia (ENIB) and member of the Laboratory of Energy Applications and Renewable Energy Efficiency (LAPER) of University Tunis El Manar. She obtained her PhD degree and University Habilitation from National Engineering School of Tunis, Tunisia (ENIT), in 2013 and 2019, respectively. Her research area is based on intelligent modeling, control and fault detection, of complex systems with unpredictable behaviors. Since 2020, she is Guest Associate Editors in the IEEE Journal of Emerging and Selected Topics in Power Electronics, Special Issue on: Machine Learning & Deep Learning based Power Conditioning Systems for Smart Grid.
"About the title" may belong to another edition of this title.
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