Digital Twins for Smart Cities and Villages

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.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, Vietnam. He has published numerous research papers in various high-impact journals and holds 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.Anand Paul is an Associate Professor with the Biostatistics and Data Science Program at Louisiana State University Health Science Center. He obtained his Ph.D. degree from the School of Electrical and Computer Engineering at National Cheng Kung University, Taiwan, R.O.C. in 2010. His research focuses on Big Data Analytics and Mathematical Modelling of Machine Learning models, He has done extensive work on Big data/IoT based Smart Cities. Dr. Paul is the founder and director of the Centre for Resilient and Evolving Intelligence at Kyungpook National University, South Korea, where he served from 2012 to 2024. He has been recognized as one of the top 2% scientists globally by both Stanford University and Elsevier Publisher for the years 2021 and 2022. He has been an IEEE Senior Member since 2015 and has held editorial roles in prestigious publications including Editor in Chief of the International Journal of Smart Vehicles and Smart Transportation (IGI Global) from 2019 to 2021, and as Associate Editor in IEEE Access, IET Wireless Sensor Systems, ICT Express, PeerJ Computer Science, ACM Applied Computing Reviews, Cyber Physical Systems (Taylor & Francis), and International Journal of Interactive Multimedia & Artificial Intelligence. Dr. Paul also served as the track chair for Smart Human-Computer Interaction in ACM SAC from 2014 to 2019.Dr. Mohd Naved is an Associate Professor at Jaipuria Institute of Management in Noida, India, with over a decade of experience in Business Analytics, Data Science, and Artificial Intelligence. His research focuses on the applications of business analytics, data science, and artificial intelligence across various industries.

• 1. Digital Twin Technology Fundamentals2. Research advancements in quantum computing digital twins3. Digital Twins Tools and Technologies4. Future trends and research challenges in digital twins5. Research advancements in quantum computing and digital twins6. Digital twin model design for smart village7. Digital village analytics using digital twins8. Toward seamless mobility: Integrating connected and autonomous vehicles in smart cities through digital twins9. Redefining mobility: The convergence of autonomy, technology, and connected vehicles in smart cities10. Planning and building digital twins for smart cities11. A dashboard framework for decision support in smart cities12. Immersive learning trends using digital twins13. Digital Twin and Virtual Reality, Augmented Reality, and Mixed Reality14. Digital twins for telemedicine and personalized medicine15. Digital twin technology in smart agriculture: Enhancing productivity and sustainability16. Digital twins solutions for smart logistics and transportation17. Exploring virtual smart healthcare trends using digital twins18. Harmonizing nature and technology: The synergy of digital twin-enabled smart farming19. Design for digital twins in smart manufacturing20. Digital twins-enabled model for smart farming21. Electrical digital twins-enabled smart grid22. Digital twins in microclimate analysis: A mixed review using a science mapping approach23. Data analytics and visualization using digital twins24. Research trends in blockchain and digital twins25. Blockchain-based digital twin for supply chain management: A survey26. Rise of blockchain based digital twin: A transformative tool for new research trends27. Exploring diverse use cases of digital twins projecting digital transformation: Unlocking potential, addressing challenges and viable solutions