Convergence of Artificial Intelligence, Machine Learning, and the Internet of Things in Industry 4.0 Applications (Transactions on Computer Systems and Networks) - Tapa dura

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Amrita Rai received her B. Tech (Electronics) degree from the College of Engineering Chandpur, affiliated with Nagpur University, in 1998. She earned her M.Tech degree from Maharishi Dayanand University, Rohtak, where she was the university topper, in 2007, and her PhD in Signal Processing from Thapar University, Patiala (previously Thapar Institute of Engineering and Technology), in 2015. With over 21 years of experience in teaching, research, and administration, Dr. Rai has published several papers in reputed international journals and has attended various national and international IEEE conferences. She has guided more than 20 postgraduate (PG) and 100 undergraduate (UG) theses. Additionally, she is the author of the book "Principles of VLSI and CMOS Integrated Circuits" and has written six book chapters. Dr. Rai serves as a reviewer for several prestigious journals and conferences. She has filed six patents and delivered expert lectures on topics such as Smart Sensors, IoT and sensors, and Adaptive Signal Processing at various universities and colleges. She has also chaired sessions at numerous national and international conferences. Dr. Rai was a senior member of the IEEE Delhi Section Society and has contributed to many international/SCI journals and conferences. She has published 13 national and international patents and received grants for two of her patents. 

Dinesh Kumar Singh earned his B.E. in Electronics and Communication Engineering from Kumaon Engineering College in Dwarahat, Almora, in 2003. He holds an M.Tech in Digital Communication from RGPV University, Bhopal, India, and a Ph.D. from the Indian Institute of Technology (ISM), Dhanbad, Jharkhand. His research interests include microwave engineering, particularly designing high-gain, compact, reconfigurable, fractal-shaped, circularly polarized microstrip antennas, substrate integrated waveguides (SIW), and magneto-electric (ME) dipole antennas for modern communication systems. Currently, he is a Professor in the Department of Electronics and Communication Engineering at G L Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India. He has published more than 20 papers in various reputed international journals and conferences and serves as a reviewer for the AEU International Journal of Electronics and Communication and Electronics Letters, among others. 

Rupali Singh obtained her BE degree from Nagpur University in 2001, her M.Tech degree from Shobhit University, Meerut, in 2009, and her Ph.D. from the SRM Institute of Science and Technology, Ghaziabad, in 2021. Her research focuses on reversible logic circuits, quantum dot cellular automata, and nano-circuits. Dr. Singh possesses extensive teaching and research experience and has a good number of national and international publications to her name. She currently works at the School of Electronics and Communication Engineering at the SRM Institute of Science and Technology, Ghaziabad, India. She has published three patents and has received a grant for one of her patents.

Korhan Cengiz is an Assistant Professor who completed his Ph.D. in the Department of Electronics Engineering at Kadir Has University. He is the author of more than 40 papers in the field of communications and has participated as a keynote speaker at several conferences. Dr. Cengiz holds various referee and editor positions in several IEEE journals and conferences and is a Senior Member of IEEE. He serves as an Associate Editor for IET Electronics Letters.

De la contraportada

The book offers valuable insights into research related to Industry 4.0 applications that utilize artificial intelligence (AI), machine learning (ML), and the Industrial Internet of Things (IIoT). Industry 4.0, also known as the Fourth Industrial Revolution, includes disruptive technologies such as the Internet of Things (IoT), robotics, virtual reality (VR), VLSI architecture, and AI, all of which are transforming modern society and manufacturing practices. This book addresses various aspects of smart industrial application design strategies and their effects on next-generation systems, including quantum computing, edge computing, IoT, cybersecurity, nano-communications, and robotic automation. The application of AI, machine learning techniques, and IoT is anticipated to improve the performance of automated and controlled systems. Intended as a resource for academics, researchers, and professionals in the fields of AI and ML, the content also explores their applications within the industrial revolution and the influence of VLSI on the global market. Additionally, the book serves as a reference for developing sustainable engineering solutions to address various global industrial challenges.