Algorithms and Applications - ALAP 2018

by Springer Singapore
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Springer Singapore Algorithms and Applications - ALAP 2018
Springer Singapore - Algorithms and Applications - ALAP 2018

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Description

This book presents the proceedings of the Conference on Algorithms and Applications (ALAP 2018), which focuses on various areas of computing, like distributed systems and security, big data and analytics and very-large-scale integration (VLSI) design. The book provides solutions to a broad class of problems in diverse areas of algorithms in our daily lives in a world designed for, and increasingly controlled by algorithms. Written by eminent personalities from academia and industry, the papers included offer insights from a number of perspectives, providing an overview of the state of the art in the field. The book consists of invited talks by respected speakers, papers presented in technical sessions, and tutorials to offer ideas, results, work-in-progress and experiences of various algorithmic aspects of computational science and engineering.

Further information

Illustrations Note:
XIII, 89 p. 26 illus., 18 illus. in color.
Table of Contents:
Part 1. Distributed Systems and Security.- Part 2. VLSI and Embedded Systems.- Part 3. Big Data and Analytics.
Editor:
Das, Sajal K.;Das
Chaki, Nabendu;Chaki
Remarks:
Provides an overview of the state of the art in the field of algorithms


Focuses on various areas of computing, like distributed systems and security, big data and analytics, and very-large-scale integration (VLSI) design


Includes contributions from leading academics and industry professionals

Media Type:
Softcover
Publisher:
Springer Singapore
Biography Artist:
Sajal K. Das is a professor of Computer Science and Daniel St. Clair Endowed Chair at Missouri University of Science and Technology, USA, where he was Computer Science Department Chair from 2013 to 2017. Prior to 2013 he was a University Distinguished Scholar Professor of Computer Science and Engineering at UT Arlington, USA. He also served as a NSF Program Director in 2008–2011. His research interests include IoT, big data analytics, security, cloud computing, wireless sensor networks, mobile and pervasive computing, cyber-physical systems and smart environments, biological and social networks, and applied graph theory. He has directed high-profile, funded projects and published over 700 papers in journals and conference proceedings. He holds 5 US patents, and has co-authored 52 book chapters and 4 books. A recipient of 10 best paper awards, Dr. Das has also received numerous awards for teaching, mentoring and research including IEEE Computer Society Technical Achievement Award for pioneering contributions to sensor networks and mobile computing. He is the founding editor-in-chief of the Pervasive and Mobile Computing journal, and associate editor of several other journals. He is an IEEE fellow.


Nabendu Chaki is a professor at the Department of Computer Science & Engineering, University of Calcutta, Kolkata, India. He shares seven international patents including four US patents. In addition to nearly 30 edited volumes with Springer, Dr. Chaki has authored 7 text and research books and more than 150 Scopus Indexed research papers in journals and at international conferences. Nabendu has been a visiting professor at various institutions, including Naval Postgraduate School, USA; Ca' Foscari University, Italy and AGH University of Science and Technology in Poland. He is the founder Chair of the ACM Professional Chapter in Kolkata and served in that capacity for 3 years from January 2014. In 2009–2015 he was active in developing several international standards in software engineering and service science as a global (GD) member of ISO-IEC.

Language:
English
Edition:
Softcover reprint of the original 1st ed. 2018
Number of Pages:
89

Master Data

Product Type:
Paperback book
Release date:
1 February 2019
Package Dimensions:
0.235 x 0.155 x 0.006 m; 0.454 kg
GTIN:
09789811340659
DUIN:
6VO5N1MC4D1
£121.66
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