1st Edition

CYBORG Human and Machine Communication Paradigm

    332 Pages 54 B/W Illustrations
    by CRC Press

    This book provides in-depth information about the technical, legal, and policy issues that are raised when humans and artificially intelligent machines are enhanced by technology.

    Cyborg: Human and Machine Communication Paradigm helps readers to understand cyborgs, bionic humans, and machines with increasing levels of intelligence by linking a chain of fascinating subjects together, such as the technology of cognitive, motor, and sensory prosthetics; biological and technological enhancements to humans; body hacking; and brain-computer interfaces. It also covers the existing role of the cyborg in real-world applications and offers a thorough introduction to cybernetic organisms, an exciting emerging field at the interface of the computer, engineering, mathematical, and physical sciences.

    Academicians, researchers, advanced-level students, and engineers that are interested in the advancements in artificial intelligence, brain-computer interfaces, and applications of human-computer in the real world will find this book very interesting.

    1. Cyborg: An Introduction. 2. Cyborg Ontology. 3. Cyborg Communication. 4. Evolution of Woman Cyborg. 5. The Cyborg Interdiscipline. 6. Cyborg Sensors. 7. Telepathy Signals in Cyborg. 8. Intelligent Cyborg Brains. 9. Neuro-Prosthesis in Cyborg. 10. Body Sketch for Cyborg. 11. Cyborg Body. 12. Cyborg Futures on AI Robotics.


    Kuldeep Singh Kaswan, Ph.D., is presently working at the School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India. His contributions focus on BCI, Cyborgs and Data Sciences. His Academic degrees and thirteen years of experience working with global Universities like, Amity University, Noida, Gautam Buddha University, Greater Noida, and PDM University, Bahadurgarh, have made him more receptive and prominent in his domain. He received a Doctorate in Computer Science from Banasthali Vidyapith, Rajasthan. He received a Doctor of Engineering (D. Engg.) from Dana Brain Health Institute, Iran and he obtained a Master’s Degree in Computer Science and Engineering from Choudhary Devi Lal University, Sirsa (Haryana). He has a number of publications in international/national journals and conferences and is an editor/author, and review editor of many journals and books.

    Jagjit Singh Dhatterwal, Ph.D., is presently working as an Associate Professor, the Department of Artificial Intelligence and Data Science at Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. He completed a Doctorate in Computer Science from Mewar University, Rajasthan, India and received a Master of Computer Application from Maharshi Dayanand University, Rohtak (Haryana). He has also worked with Maharishi Dayanand University, Rohtak, Haryana and is a member of the Computer Science Teacher Association (CSTA), New York, USA, the International Association of Engineers (IAENG), Hong Kong, IACSIT (International Association of Computer Science and Information Technology, USA, professional member Association of Computing Machinery, USA, IEEE, and Life member, Computer Society of India, India. His area of interest includes Artificial Intelligence, BCI, and Multi-Agents Technology. He has a number of publications in international/national journals and conferences.

    Anupam Baliyan, Ph.D., is working as an additional Director of Engineering at the University Institute of Engineering, Chandigarh University, Punjab. He has more than 22 years of experience in academics and has a MCA from Gurukul kangari University, an M.Tech (CSE), and a Ph.D. (CSE) from Banasthali University. He has published more than 30 research papers in various international journals and is a Lifetime member of CSI and ISTE. He has chaired many sessions at various conferences across India and has also published some edited books and chapters. His research area includes Algorithms, Machine learning, Wireless networks, and AI.

    Shalli Rani, Ph.D., is pursuing a postdoctoral from Manchester Metropolitan University, UK from July 2022. She is a Professor in Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. She has 18+ years of teaching experience. She received MCA degree from Maharishi Dyanand University, Rohtak in 2004 and an M.Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur in 2007 and a Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar in 2017. Her main area of interest and research are Wireless Sensor Networks, Underwater Sensor Networks, Machine Learning, and the Internet of Things. She has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored five books with international publishers. She is serving as the associate editor of IEEE Future Directions Letters. She served as a guest editor in IEEE Transactions on Industrial Informatics, Hindawi WCMC, and Elsevier IoT Journals. She has also served as a reviewer in many repudiated journals of IEEE, Springer, Elsevier, IET, Hindawi, and Wiley. She has worked on Big Data, Underwater Acoustic Sensors, and IoT to show the importance of WSN in IoT applications. She received a young scientist award in Feb. 2014 from Punjab Science Congress, a Lifetime Achievement Award, and a Supervisor of the Year award from Global Innovation and Excellence, in 2021.