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Home > Science, Technology & Agriculture > Electronics and communications engineering > Communications engineering / telecommunications > Advancements in Generative Artificial Intelligence: Proceedings of 4th ETBS 2024, Volume 1(1392 Lecture Notes in Networks and Systems)
Advancements in Generative Artificial Intelligence: Proceedings of 4th ETBS 2024, Volume 1(1392 Lecture Notes in Networks and Systems)

Advancements in Generative Artificial Intelligence: Proceedings of 4th ETBS 2024, Volume 1(1392 Lecture Notes in Networks and Systems)


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About the Book

This book includes selected proceedings of the International Conference on "Emerging Technologies in Biomedical Sciences". The book provides a captivating overview of cutting-edge research and future directions in computational sciences, including signal processing, imaging, computing, instrumentation, and artificial intelligence. By focusing on the latest trends and practical outcomes in research, this book serves as an invaluable resource for professors, researchers, and engineers seeking to deepen their expertise. It aims to empower those dedicated to designing systems that foster societal acceptance of ambient intelligence. Furthermore, the book will be instrumental for researchers striving to advance state-of-the-art healthcare technologies.

About the Author :

Dr. Nikhil Kumar Marriwala is an Assistant Professor in Electronics and Communication Engineering at UIET, Kurukshetra University. He holds a B-Tech, M-Tech, PhD, and Post-Doc in Engineering & Technology, specializing in Electronics and Communication, with over 22 years of teaching experience. He has mentored one PhD and 33+ M-Tech dissertations and currently guides two PhD candidates. Dr. Marriwala has authored 10+ books, published 35+ journal papers, and presented 30+ conference papers. He holds eight patents, has chaired 22+ conferences, and delivered 70+ invited talks. He has been a guest editor for Elsevier's Measurement and Sensors, edited 10+ book proceedings with Springer, and served as a reviewer for reputed journals. He has received multiple awards, including the Outstanding Achievement Award by ESS, USA, and the Research Excellence Award 2023. Elsevier recognized his contributions to open science. He is the SPOC for NPTEL and Infosys campus connect programs and serves as the Training and Placement Officer at UIET. His research focuses on wireless communications, IoT, blockchain, and AR/VR, making him a distinguished academic and researcher.

Dr. Shruti Jain is an Associate Dean (Innovation) and Professor in Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat. She holds a Doctor of Science (D.Sc.) and has 19 years of teaching experience. She has filed nine patents (two granted), published 16 books, 28+ book chapters, and 130+ research papers. She has guided seven PhD students (five ongoing), 11 M-Tech, and 110+ B-Tech scholars. She has completed two government-sponsored projects and organized 12 IEEE and Springer conferences as General Chair. Her research interests include Image and Signal Processing, IoT, Pattern Recognition, and FPGA/VLSI design. A senior IEEE member, she is also on the editorial board of several reputed journals. She has received the Nation Builder Award (2018-19) and was listed among the world's top 2% scientists in 2021 and 2023 by Elsevier-Stanford rankings.

Dr. P. William is currently the Dean of Research & Development and an Assistant Professor in the Department of Information Technology at Sanjivani College of Engineering, SPPU, Pune. He obtained his Bachelor of Engineering in Computer Science and Engineering from CSVTU, Bhilai, and his Master of Technology in the same field from the same university. He completed his Ph.D. in Computer Science and Engineering at the School of Engineering & Information Technology, MATS University, Raipur. Dr. William has published over 100 papers in Scopus-indexed journals and IEEE conferences. He has received grants for several of his published patents and has authored more than five books with globally recognized publishers. His research areas include Natural Language Processing, Artificial Intelligence, Deep Learning, Machine Learning, Soft Computing, Cyber Security, and Cloud Computing. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), the Quality Circle Forum of India (QCFI), and a life member of the Indian Society for Technical Education (ISTE), among other professional organizations. Dr. Dinesh Kumar completed his B.Tech from IIT Madras and his Ph.D. from IIT Delhi. He is currently a professor at RMIT University, Melbourne, Australia, and a fellow of the Australasian Institute of Digital Health. Prof. Kumar has published over 400 papers, authored eight books, and serves on various Australian and international committees related to Biomedical Engineering. He is passionate about affordable diagnostics and is dedicated to making a difference in his students' lives. Additionally, he is a member of the Therapeutics Goods Administration (TGA) in Australia's Ministry of Health for medical devices. He is also on the editorial boards of IEEE Transactions on Neural Systems and Rehabilitation Engineering and Biomedical Signals and Controls. Prof. Kumar has chaired numerous conferences and delivered over 50 keynote speeches.


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Product Details
  • ISBN-13: 9789819660940
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 500
  • Series Title: 1392 Lecture Notes in Networks and Systems
  • Width: 155 mm
  • ISBN-10: 9819660947
  • Publisher Date: 08 Mar 2026
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: Proceedings of 4th ETBS 2024, Volume 1


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