Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE

Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE

ISBN-10:
9811520429
ISBN-13:
9789811520426
Pub. Date:
03/03/2020
Publisher:
Springer Nature Singapore
ISBN-10:
9811520429
ISBN-13:
9789811520426
Pub. Date:
03/03/2020
Publisher:
Springer Nature Singapore
Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE

Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE

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Overview

This book features a collection of high-quality, peer-reviewed research papers presented at the 7th International Conference on Innovations in Computer Science & Engineering (ICICSE 2019), held at Guru Nanak Institutions, Hyderabad, India, on 16–17 August 2019. Written by researchers from academia and industry, the book discusses a wide variety of industrial, engineering, and scientific applications of the emerging techniques in the field of computer science.

Product Details

ISBN-13: 9789811520426
Publisher: Springer Nature Singapore
Publication date: 03/03/2020
Series: Lecture Notes in Networks and Systems , #103
Edition description: 1st ed. 2020
Pages: 655
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Dr. Harvinder Singh Saini is the Managing Director of Guru Nanak Institutions. He holds a Ph.D. in Computer Science, and has over 29 years of teaching experience at university/college level. He has published/presented several high-quality research papers in international and national journals and the proceedings of international conferences. He has published six books with Springer. He is a lover of innovation and is an advisor on NBA/NAAC accreditation process to many institutions in India and abroad. He is chief editor of a number of innovative journals and chairs various international conferences.

Dr. Rishi Sayal is an Associate Director of Guru Nanak Institutions Technical Campus. He holds a B.E. (CSE), and M.Tech. (IT), and received his Ph.D. (CSE). in Computer Science and Engineering in the field of data mining from the prestigious Mysore University of Karnataka State. He has over 27 years of experience in training, consultancy, teaching, and placements. His current areas of research interest include data mining, network security, and databases. He has published a wide number of research papers in international conferences and journals, and has received several research grants from government funding agencies. He is co-editor of various innovative journals and has convened international conferences.

Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft Pvt. Ltd, a spin-off company of the University, commercializing its innovations in cloud computing. He served as a Future Fellow of the Australian Research Council from 2012 to 2016. He received a Doctor of Philosophy (Ph.D.) in Computer Science and Software Engineering from Monash University, Melbourne, Australia, in 2002. Dr. Buyya has authored/co-authored over 625 publications. He has co-authored five textbooks and edited the proceedings of over 26 international conferences.

Dr. Govardhan Alisery is currently a Professor of Computer Science & Engineering, Rector of JNTUH, and a member of the executive council at Jawaharlal Nehru Technological University Hyderabad (JNTUH), India, where he also completed his Ph.D. He is a member of the editorial boards of twelve international journals. He is a member of the advisory & academic boards and technical program committees of more than 65 international and national conferences. He has published two monographs and ten book chapters.

Table of Contents

A Model for Real-Time Biometric Authentication Using Facial and Hand Gesture Recognition.- Server-less Cloud Computing – An Economical Solution For Business Operations.- Study and Review of Learning Management System Software.- Improved Privacy Preserving Score Based Location K- Anonymity in LBS.

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