Overview
- Presents research works in the field of computational intelligence and data engineering
- Gather the outcomes of the ICCIDE 2022, held in Vijayawada, India
- Offers a reference guide for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 163)
Included in the following conference series:
Conference proceedings info: ICCIDE 2022.
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Table of contents (40 papers)
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Front Matter
Other volumes
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Proceedings of International Conference on Computational Intelligence and Data Engineering
Keywords
About this book
Editors and Affiliations
About the editors
Nabendu Chaki is a Professor in the Department Computer Science & Engineering, University of Calcutta, Kolkata, India. He is the Editor in Chief of the Springer Nature book series on Services and Business Process Reengineering. Besides editing about 40 conference proceedings with Springer, Dr. Chaki has authored 8 text and research books with CRC Press, Springer Nature, etc. He has published more than 200 Scopus Indexed research articles in Journals and International conferences. Prof. Chaki has served as a Visiting Professor in different places including US Naval Postgraduate School, California, and in different Universities in Italy and Poland. He is the founder Chair of ACM Professional Chapter in Kolkata and served in that capacity for 3 years since January 2014. He has been active during 2009-2015 towards developing several international standards in Software Engineering and Service Science as a Global (GD) member for ISO-IEC.
NagarajuDevarakonda received his B.Tech. from Sri Venkateswara University, M.Tech. from Jawaharlal Nehru University (JNU), New Delhi, and Ph.D. from Jawaharlal Nehru Technological University, Hyderabad. He has published over 90 research papers in international conferences and journals. He is the Co-Editor of Proceedings of ICCIDE 2017, 2018, 2020, and 2021. The proceedings were published in Lecture Notes on Data Engineering and Communication Technologies of SPRINGER. He published papers in ICCI*CC 2017 at OXFORD UNIVERSITY, UK, and ICCI*CC 2018 at UNIVERSITY OF CALIFORNIA, BERKELEY, USA. He is currently working as an Associate Professor in the School of Computer Science & Engineering at VIT-AP University and has 18 years of experience in teaching. His research areas are data mining, soft computing, machine learning and pattern recognition. He has supervised 25 M.Tech. students, guided 4 Ph.Ds and currently guiding 9 Ph.Ds.
Agostino Cortesi, Ph.D., is a full professor of computer science at Ca' Foscari University, Venice, Italy. He has extensive experience in the area of static analysis and software verification techniques. His main research interests concern programming languages theory, software engineering, and static analysis techniques, with particular emphasis on security applications. He coordinated the H2020 Families_Share project and the MAE Italy-India project "Formal Specification for Secured Software System”. He has been the adviser of several doctoral and postdoctoral students from Italy and abroad (India, Cuba), and has published more than 150 papers in high-level international journals and proceedings of international conferences.
Bibliographic Information
Book Title: Proceedings of International Conference on Computational Intelligence and Data Engineering
Book Subtitle: ICCIDE 2022
Editors: Nabendu Chaki, Nagaraju Devarakonda, Agostino Cortesi
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-981-99-0609-3
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. 2023
Softcover ISBN: 978-981-99-0608-6Published: 18 June 2023
eBook ISBN: 978-981-99-0609-3Published: 17 June 2023
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: X, 578
Number of Illustrations: 57 b/w illustrations, 259 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Artificial Intelligence