Emerging Technologies and the Application of WSN and IoT

Dr. Shalli Rani 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 an 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 the Punjab Science Congress, a Lifetime Achievement Award, and a Supervisor of the Year award from Global Innovation and Excellence, in 2021.

• 1. Transforming Urban Spaces and Industries: The Power of Machine Learning and Deep Learning in Smart Cities, Smart Industries, and Smart Homes. 2. Integration Fog Computing and Wireless Sensor Network in Smart Cities. 3. Named Data Networking: Content Based Routing – Architecture, Challenges and Applications. 4. Advanced Computing Technologies for Energy-Efficient and Secure IoT Network in Smart Cities: Green IoT Perspective. 5. Amalgamation of 5G and Edge Computing for Latency Reduction in Metaverse Using WSN and IoT. 6. Blockchain Revolution: Using Distributed Ledger Technology to Transform Healthcare in WSN-IoT Environment. 7. Blockchain in Internet of Medical Things: Insights on Healthcare Systems. 8. Wireless Sensor Network-Based Automated Computer-Assisted Diagnostic Approaches for Identification of Brain Tumor Disease in IoT-Based Healthcare. 9. Machine Learning and its Applications in Healthcare. 10. Multi-perspective Issues and Role of WSN and Different Technologies in Healthcare Information System. 11. Exploring the Applications of Wireless Sensor networks and the Internet of Things in Agricultural and Livestock Production and Management. 12. Wireless Sensor Networks and IoT Revolutionizing Healthcare: Advancements, Applications, and Future Directions.