Cyborg: Human and Machine Communication Paradigm

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.

本書深入探討了當人類和人工智能機器透過技術進行增強時所引發的技術、法律和政策問題。

《Cyborg: 人與機器溝通範式》幫助讀者理解增強人類、生物和技術對人類的增強、身體改造和腦-電腦界面等一系列迷人的主題。它還涵蓋了賽博格在現實應用中的現有角色，並全面介紹了賽博生物學，這是一個令人興奮的新興領域，涉及計算機、工程、數學和物理科學的交界處。

對於對人工智能、腦-電腦界面的進展以及人-機在現實世界中的應用感興趣的學者、研究人員、高級學生和工程師將會對本書非常感興趣。

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 Masterâ (TM)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.

Kuldeep Singh Kaswan博士目前在印度北方邦的Galgotias大學計算科學與工程學院工作。他的貢獻主要集中在腦機介面、半機械人和數據科學方面。他在全球大學如Amity大學、Noida、Gautam Buddha大學、Greater Noida和PDM大學、Bahadurgarh等地擁有學術學位和十三年的工作經驗，使他在自己的領域更加開放和卓越。他在拉賈斯坦邦的Banasthali Vidyapith獲得了計算機科學博士學位。他在伊朗的Dana Brain Health Institute獲得了工程博士學位，並在哈里亞納邦的Choudhary Devi Lal大學獲得了計算機科學與工程碩士學位。他在國際/國內期刊和會議上發表了多篇論文，並擔任多個期刊和書籍的編輯/作者和審稿人。

Jagjit Singh Dhatterwal博士目前在印度安得拉邦Vaddeswaram的Koneru Lakshmaiah教育基金會的人工智能和數據科學系擔任副教授。他在印度拉賈斯坦邦的Mewar大學獲得了計算機科學博士學位，並在Rohtak的Maharshi Dayanand大學獲得了計算機應用碩士學位。他還曾在哈里亞納邦的Maharishi Dayanand大學工作，並是紐約的計算機科學教師協會（CSTA）、香港的國際工程師協會（IAENG）、美國的國際計算機科學和信息技術協會（IACSIT）、美國的計算機協會（ACM）和印度的計算機學會（CSI）的成員。他的研究興趣包括人工智能、腦機介面和多智能體技術。他在國際/國內期刊和會議上發表了多篇論文。

Anupam Baliyan博士目前在旁遮普邦的Chandigarh大學工程學院擔任工程額外主任。他在學術界擁有超過22年的經驗，並在Gurukul kangari大學獲得了計算機應用碩士學位，以及在Banasthali大學獲得了計算機科學與工程碩士學位和博士學位。他在各種國際期刊上發表了30多篇研究論文，並是CSI和ISTE的終身會員。他在印度各地的多個會議上擔任過多個會議主席，並出版了一些編輯的書籍和章節。他的研究領域包括算法、機器學習、無線網絡和人工智能。

Shalli Rani博士從2022年7月開始在英國曼徹斯特都會大學進行博士後研究。她是印度旁遮普邦Rajpura的Chitkara大學工程與技術學院的教授。她擁有18年以上的教學經驗。她在2004年從Maharishi Dyanand大學獲得了計算機應用碩士學位，並在2007年從Janardan Rai Nagar Vidyapeeth大學獲得了計算機科學碩士學位，並在2017年從Punjab Technical大學獲得了計算機應用博士學位。她的主要研究領域是無線傳感器網絡、水下傳感器網絡、機器學習和物聯網。她在國際期刊/會議（SCI+Scopus）上發表/接受/報告了100多篇論文，並與國際出版商合作編輯/撰寫了五本書籍。她擔任IEEE Future Directions Letters的副編輯。她曾擔任IEEE Transactions on Industrial Informatics、Hindawi WCMC和Elsevier IoT Journals的客座編輯。她還曾擔任IEEE、Springer、Elsevier、IET、Hindawi和Wiley等多個知名期刊的審稿人。她的研究涉及大數據、水下聲學傳感器和物聯網，以展示無線傳感器網絡在物聯網應用中的重要性。她於2014年2月獲得了旁遮普邦科學獎。