Computer Science & Information Management

Computational Science and Its Applications
Editors: Anupma Chadha, PhD
Sachin Sharma, PhD
Vasudha Arora, PhD

Computational Science and Its Applications

Published. Available now.
Pub Date: January 2024
Hardback Price: see ordering info
Hard ISBN: 9781774912751
E-Book ISBN: 9781003347484
Pages: 244pp w/ index
Binding Type: Hardback/ ebook
Notes: 29 color and 57 b/w illustrations

This new volume explores the overlapping behavior of some aspects of the computational intelligence, focusing on real-life applications of these new tools and technologies. Computational science draws information from the field of computer science and mathematics and provides solutions to scientific or engineering problems. Even though the areas are quite distinct, many of the topics overlap in computational and computer science. Computational science is the intersection of computing and networking hardware, algorithms, numerical analysis and mathematics, software, programming, and databases and discipline specific knowledge.

The chapters in Computational Science and Its Applications discuss how computational science can interact with artificial intelligence, machine learning, data science, quantum computing, image processing, evolutionary algorithms (ESs), process simulation, deep learning, big data analysis, and computational intelligent algorithms.

This volume will be a handy guide for instructors teaching computational intelligence techniques for undergraduate or postgraduate computer science programs as well as a reference for others interested in these areas.

CONTENTS:
Preface

1. Artificial Intelligence
Kavita Arora

2. Machine Learning
Shashi Tanwar

3. Data Science
Arti Chauhan and Ashirwad Samuel

4. Quantum Computing
Anupama Chadha, Sachin Sharma, Rahul Chaudhary, Reuben Vernekar, and Arun Rana

5. Image Processing
Swetta Kukreja, Rohit Sahoo, Deepak Jain, and
Vasudha Arora


6. Evolutionary Algorithms
Richa Sharma

7. Process Simulation
Kshatrapal Singh, Ashish Kumar, and Manoj Kumar Gupta

8. Need for Deep Learning
Bobby Singh, Nikita Gupta, Sachin Sharma, and
Anupama Chadha


9. Computational Intelligence for Big Data Analysis
Anu Manchanda

10. Hybridization of Computational Intelligent Algorithms
Anupama Chadha

Index


About the Authors / Editors:
Editors: Anupma Chadha, PhD
Professor, Department of Computer Applications, MRIIRS, Faridabad, India

Anupama Chadha, PhD, is Professor in the Department of Computer Applications, Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, India. After a short stint in industry, she pursued her career in teaching and has around 20 years of experience at various reputed colleges and universities. She has authored or co-authored many research articles and papers published in reputed journals and conferences. She is an editor and reviewer for many international and national journals and is a member of several research-oriented organizations, including CSI, ACM, and IETE. Dr. Chadha organized several national and international conferences in association with IEEE and CSI. She has also chaired sessions of reputed conferences and has delivered keynote talks. She has conducted and organized many workshops on the latest IT technologies. She has coauthored books on data mining. Her areas of research include data mining, big data, and machine learning. Dr. Chadha earned her doctorate in Data Mining. She holds a Master of Computer Applications with distinction.

Sachin Sharma, PhD
Professor, Faculty of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India

Sachin Sharma, PhD, is engaged in teaching master’s and bachelor‘s classes in computer applications and has more than 22 years of teaching experience. He is a Professor in the Faculty of Computer Applications, Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, India. He has published more than 32 research papers in national and international journals and has guided students for their project works in computer science. He is an editor, reviewer, and editorial board member of several reputed Scopus-indexed journals, including those published by IEEE, Elsevier, and others. He is a member of various research organizations, such as the Computer Society of India, ACM, TOJET, IJCST, IAENG, Internet Society, IJET, and so on. He has chaired various sessions at reputed conferences and has delivered keynote talks, conducted workshops on upcoming technologies, and organized several international conferences in association with IEEE and Springer. His main interest areas include data mining, data structures, big data, and data science. He has published four books, with two books in the pipeline. His three patents on IoT and smart card have been published. Dr. Sharma holds a doctorate in Computer Applications in the field of Data Mining.

Vasudha Arora, PhD
Professor, Department of Computer Science and Engineering, Sharda School of Engineering Technology, Sharda Univerity, Greater Noida, India

Vasudha Arora, PhD, has over 16 years of rich academic and research experience at various reputed colleges and universities. She is currently Professor, Department of Computer Science and Engineering at the Sharda School of Engineering Technology, Sharda Univerity, Greater Noida, India. She has authored or co-authored more than 25 scholarly research articles and conference papers. She is a reviewer for several reputed Scopus-indexed journals of IEEE, Springer, and Elsevier. She has delivered keynote talks, conducted workshops on upcoming technologies, and organized several international conferences in association with IEEE and Springer. She has supervised several MTech dissertations and currently supervises two PhD scholars. Dr. Arora’s area of research includes cloud computing, network security, data science, and machine learning. Dr. Arora is an IBM-certified faculty member for several courses, including cloud computing and virtualization, cloud security, and cloud deployment models, and achieved various online certifications from IBM, NPTEL, and EICT Academy IIT Roorkee, to name a few. Dr. Arora completed her master’s degree with distinction and earned her doctorate in Computer Science Engineering at Panjab University Chandigarh, India.




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