About the Book
This book emerges from the exchange of research insights and innovative ideas in the domains of Artificial Intelligence, Intelligent Computing, Blockchain, Communication, and Security. With a special emphasis on intelligent financial systems, secure transactions, real-time monitoring, and assistive technologies, this proceedings compilation serves as a comprehensive resource on technologies shaping the digital era.
Key features of this book include:
A wide-ranging exploration of current research trends in Artificial Intelligence and Blockchain, with emphasis on their integration into secure and intelligent living systems.
Detailed illustrations of system models and architectures that portray real-world AI applications.
In-depth discussions on the practical role of AI and Blockchain in sectors like banking, healthcare, communication, navigation, and cybersecurity.
An analytical perspective on the challenges and future opportunities of deploying AI and Blockchain in healthcare, education, finance, and other industries.
This book is intended for research scholars, academicians, undergraduate and postgraduate students, Ph.D. candidates, industry professionals, technologists, and entrepreneurs seeking to deepen their understanding of intelligent and secure systems.
Table of Contents:
1. MACHINE LEARNING TECHNIQUES IN OPTICAL NETWORKS AND COMMUNICATION 2. DEEP LEARNING TECHNIQUES FOR DIGITAL IMAGE MINING OR PROCESSING 3. EVOLUTIONARY COMPUTING AND SIGNAL PROCESSING TECHNIQUES FOR DESIGN AND IMPLEMENTATION OF NEXT GEN SYSTEMS AND NETWORKS 4. INFORMATION RETRIEVAL SYSTEM ( SEARCH AND RANKING, RECOMMENDER SYSTEMS, SEARCH ENGINE APPLICATIONS, NLP, MULTIMODAL IR) 5. RECENT ADVANCEMENTS AND CHALLENGES IN FUTURISTIC TECHNOLOGIES 6. BIO-INSPIRED COMPUTING USING MACHINE LEARNING TECHNIQUES 7. SMART CLOUD INFRASTRUCTURES: LEVERAGING AI AND MACHINE LEARNING FOR OPTIMIZED PERFORMANCE 8. INTELLIGENT COMPUTING 4.0 (INTEGRATION OF ADVANCED TECHNOLOGIES SUCH AS ARTIFICIAL INTELLIGENCE (AI), MACHINE LEARNING (ML), THE INTERNET OF THINGS (IOT), AND BIG DATA) 9. BIOMEDICAL SIGNAL PROCESSING AND IMAGE PROCESSING USING DEEP LEARNING
About the Author :
Prof. Pushpa Choudhary is a Professor and HoD in the Department of Computer Science and Engineering at Galgotias College of Engineering and Technology, Greater Noida, India. She earned her Ph.D. (in Computer Science) degree from MNNIT Allahabad in 2015, her M.Tech (CS) degree from UPTU Lucknow in 2007 and her MCA degree in 2002 from Allahabad University. With over 23 years of extensive expertise in both teaching and research, she has headed the Computer Science and Information Technology department of many engineering colleges. She has more than 21 patents to her name and published over 50 research papers with reputable journals and conferences. She is an active member of IEEE and coordinated numerous technical events as well as international conferences.
Dr. Sambit Satpathy is an esteemed academic and researcher, presently holding the position of Associate Professor in the School of Computer Science and Engineering at Galgotias College of Engineering and Technology, Greater Noida, India. He obtained his Doctorate in Philosophy in Computer Engineering from the National Institute of Technology, Agartala. He possesses a Master of Technology in Computer Science and Engineering from SUIIT Sambalpur, along with a Bachelor of Technology in Computer Science and Engineering from BPUT, Odisha. As an engaged researcher, he has contributed over 41 scholarly articles in esteemed international journals and conferences. Furthermore, he has exhibited academic leadership by presiding over two notable international conferences. He has also been part of the editorial boards for more than five scientific and Scopus-indexed journals.
Dr. Arvind Dagur is a distinguished academician and researcher, currently serving as a Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. Previously, he held the position of Professor & Deputy Head in the Department of Computer Science and Engineering at KEC (KIET Group), Ghaziabad. With 20 years of experience, Dr. Dagur has contributed significantly to academia through his roles at AKGEC Ghaziabad, ABES Ghaziabad, and Galgotias College of Engineering and Technology, Greater Noida, among other reputed institutions. Dr. Dagur earned his Ph.D. in Computer Engineering from Jamia Millia Islamia, New Delhi, his M.Tech. in Computer Science and Engineering from MNNIT Allahabad and his B.Tech. in Computer Science and Engineering from UPTU, Lucknow. An active researcher, he has published over 60 research papers in reputed international journals and conferences. Additionally, he has demonstrated leadership in academia by chairing two prestigious international conferences: ICABCS-2023, ICAIIT-2023 and ICICCT-2024.
Dr. Dhirendra Kumar Shukla is an Associate Professor in the School of Computer Science & Engineering at Galgotias University, Greater Noida. With over 12 years in academia, he specializes in cloud computing, focusing on task scheduling in heterogeneous environments. Dr. Shukla completed his Ph.D. at MNNIT Allahabad, where he explored multi-criteria task scheduling, significantly enhancing cloud computing efficiency. He has authored numerous publications in respected SCI and SCOPUS indexed journals and has chaired several high-profile international conferences. Dr. Shukla's research addresses critical issues in cloud computing efficiency and smart healthcare technologies, demonstrating his commitment to technological innovation and academic excellence, shaping future curricula and research in the field.
