Digital Twins for Smart Cities and Villages

1st Edition - November 1, 2024
Editors: Sailesh Iyer, Anand Nayyar, Anand Paul, Mohd Naved
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 8 8 8 4 - 5
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 2 8 8 8 5 - 2

Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufa… Read more

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Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.

The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts.

Sailesh Iyer

Dr. Sailesh Iyer has a Ph.D. (Computer Science), pursuing Post Doc from University of Louisiana, Lafayette, USA, and currently serving as a Professor with Rai University, Ahmedabad. He has more than 23 years of experience in academics, industry and corporate training. He has been awarded a Research Excellence Award for 2021 by Rai University and an Honorary Adjunct Research Scientist at Neurolabs International under Dana Brain Health Institute, Iran, from August 2022 to August 2025. He is an editor for book projects with various international publishers. He has been invited as keynote speaker in various international conferences. He has excelled in corporate training, delivered more than 100 expert talks in various AICTE sponsored STTP’s, ATAL FDP’s, reputed universities, government organized workshops, orientations and refresher courses. His research interest areas include computer vision and image processing, cybersecurity, data mining and analytics, artificial intelligence, machine learning, and blockchain.

Affiliations and expertise

Professor and Dean, CSE/IT Department, Rai School of Engineering, Rai University, Ahmedabad, Gujarat, India

Anand Nayyar

Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Faculty of Information Technology- Duy Tan University, Da Nang, Vietnam. He has published 100+ research papers in various high-impact journals. He has authored, co-authored, and edited 30+ books. He has 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing. Awarded 30+ Awards for Teaching and Research, including Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching. He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”.

Affiliations and expertise

School of Computer Science, Duy Tan University

Anand Paul

Anand Paul is currently working in The School of Computer Science and Engineering, Kyungpook National University, South Korea as Associate Professor. He got his Ph.D. in electrical engineering at National Cheng Kung University, Taiwan, R.O.C. in 2010. His research interests include Algorithm and Architecture Reconfigurable Embedded Computing. He is a delegate representing South Korea for M2M focus group and for MPEG. He has been awarded Outstanding International Student Scholarship, and in 2009 and 2015 he won the best paper award in National Computer Symposium, in Taipei, Taiwan, and international conference on softcomputing and network security, India.

Affiliations and expertise

Kyungpook National University, South Korea

Mohd Naved

Dr. Mohd Naved is a machine learning consultant and researcher currently teaching in Amity University, Noida, India, for various degree programs in Analytics and Machine Learning. He is actively engaged in academic research on various topics in management as well as on 21st century technologies. He has published more than 30 research papers in reputed journals. He has 16 patents in AI/ML and actively engages in commercialization of innovative products developed at university level. His interview has been published in various national and international magazines. A former data scientist, he is an alumnus of Delhi University. He holds a PhD from Noida International University.

Affiliations and expertise

Assistant Professor and HoD (Analytics and IB), Jagannath University; Various UG & PG programs, Analytics and Machine Learning Xcelerator Ninja, India