About the Book
The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is useful to experts. However, modern devices often have limited resources, making it challenging to decode and utilize this data effectively. Additionally, the need for real-time decision-making further complicates this issue, as traditional data processing methods take far too long to be able to keep up with the required volume and speed. Developments Towards Next Generation Intelligent Systems for Sustainable Development offers a comprehensive solution to these challenges by integrating novel technologies such as AI, edge computing, federated learning, quantum computing, and more. The book shows how intelligent systems can maximize computing power by leveraging these technologies to process large volumes of data efficiently and autonomously and make real-time decisions. The proposed architectures and frameworks focus on real-time analysis, faster decision-making, enhanced privacy, and efficient data processing. This book is essential for research scholars, academicians, and industry professionals developing optimized intelligent systems and intelligent data processing approaches. It covers a wide range of topics, including architecture and framework for intelligent systems, challenges and opportunities in autonomous systems, advancements in data processing, edge computing, cloud-based solutions, quantum processing, in-memory, and AI accelerators, real-time stream processing, privacy-preserving technologies, and the integration of data processing technologies. Developments Towards Next Generation Intelligent Systems for Sustainable Development is a valuable resource for those seeking to understand and implement cutting-edge technologies in intelligent systems.
About the Author :
Shanu Sharma is an Assistant Professor in the Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad (Affiliated to A.K.T University, Lucknow). She has a PhD from Amity University Uttar Pradesh and M.Tech (Intelligent Systems) from IIIT Allahabad. She has 13+ years of teaching and research experience and taught various courses at the graduate and under graduate level such as Image Processing, Data Mining, Machine Learning, Data Science, Data Structures, Analysis and Design of Algorithms, and Compiler Design. Her research areas include Cognitive Computing, Computer Vision, Pattern Recognition, and Machine Learning. She has published 40+ research papers in renowned Conferences and Journals and is currently associated with various reputed International Conferences and journals as a Reviewer. She has edited various special issues in Scopus indexed journals published by IGI Global, and Bentham Science. She has edited five books with renowned publishers such as Springer, IGI, CRC Press, and River Publishers. She is a senior member of IEEE and also an active member of other professional societies like ACM, Soft Computing Research Society (SCRS), EUSFLAT, and IAENG Ayushi Prakash is a Professor in the Department of Computer Science and Engineering at Ajay Kumar Garg Engineering College Ghaziabad, Dr. A.P.J. Abdul Kalam Technical University Uttar Pradesh, She received a B.Tech. degree from Dr. R.M.L Awadh University, and an M.Tech. from the AKTU State University of Uttar Pradesh at Lucknow. She received her Ph.D. in Computer Science and Engineering from Dr. K. N. Modi University. From 2010 to 2024, she also has a continuous contribution in the Training & Placement Department in Dr. A.P.J. Abdul Kalam Technical University Uttar Pradesh. Her research interests span both Information retrieval and AI ML . Much of her work has been on improving the understanding and performance of search engine optimization, mainly through the application of data mining, statistics, and performance evaluation. Dr. Prakash is co-editor of3 upcoming book. Prof. Prakash, professional member of IEEE, professional lifetime member of Indgiants Association of Educators & Professional Trainers. She is the founding Chair & trustee of Prayatna Fikar Kal ki NGO. Wipro Certified Faculty for training program. She has received many best paper awards in international conferences. She has contributed to many International Conferences as an organizer, advisor, session chair, and reviewer. She has more than 40 research papers in renowned national and international journals and conferences and published many patents, chapters and research articles. Vijayan Sugumaran is Professor of Management Information Systems and Chair of the Department of Decision and Information Sciences at Oakland University, Rochester, Michigan, USA. He received his Ph.D in Information Technology from George Mason University, Fairfax, USA. His research interests are in the areas of Big Data Analytics, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems, and Component Based Development. He has published over 200 peer-reviewed articles in Journals, Conferences, and Books. He has edited twelve books and serves on the Editorial Board of eight journals. He has published in top-tier journals such as Information Systems Research, ACM Trans on Database Systems, IEEE Trans on Engineering Management, Communications of the ACM, and IEEE Software. He is the editor-in-chief of the International Journal of Intelligent Information Technologies. He is the Chair of the Intelligent Agent and Multi-Agent Systems mini-track for Americas Conference on Information Systems (AMCIS 1999 - 2019). He has served as the program co-chair for the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, 2013, 2016, and 2019).
