Internet of Things and Its Applications

Keshav Dahal is a Professor of intelligent systems and the director of the Artificial Intelligence, Visual Communications and Network Research Centre at the University of the West of Scotland, Paisley, UK. He received his master's and Ph.D. degrees from the University of Strathclyde, UK. He also held academic and research positions at the University of Strathclyde and the University of Bradford, UK. His research interests are applied AI, trust, and security modeling in distributed systems, blockchain technologies, and scheduling/optimization problems. He has been the principal investigator or co-investigator on more than 15 externally funded projects and supervised over 20 Ph.D. and postdoctoral researchers. He has published over 150 papers in his research fields with award-winning publications and has been a part of organizing/program committees of over 60 international conferences. He is a Senior Member of IEEE. Debasis Giri is currently working as an Associate Professor in the Department of Information Technology, the Maulana Abul Kalam Azad University of Technology (Formerly known as the West Bengal University of Technology), West Bengal, India. Before this, he also held academic positions as Professor in the Department of Computer Science and Engineering and Dean in the School of Electronics, Computer Science and Informatics, Haldia Institute of Technology, Haldia, India. He did his master's (M.Tech and M.Sc) from IIT Kharagpur, India, and also completed his Ph.D. from IIT Kharagpur, India. His current research interests include cryptography, information security, e-commerce security, and the design & analysis of algorithms. Sarmistha Neogy is a Professor in the Department of Computer Science & Engineering, Jadavpur University, Kolkata, India. She received her Ph.D. degree in Engineering and Master’s degree and Bachelor’s in Computer Science & Engineering from Jadavpur University, Kolkata, India. She is a senior member of IEEE and IEEE Computer Society. She has publications in reputed international journals and proceedings of international conferences. She has co-authored four books. Dr. Neogy is a member of the Govt. of India mirror committee for the Joint Technical Committee (JTC 1). Dr. Neogy’s research interests are fault tolerance in distributed systems, reliability and security in wireless and mobile systems, security and privacy, and wireless sensor networks. Subrata Dutta is an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology, Jamshedpur. He has worked as a post-doctoral researcher at the University of the West of Scotland, UK. He received his M.Tech, and Ph.D. degrees from the Jadavpur University, Kolkata, India. His research interests are wireless sensor networks, mobile computing, and machine learning. He has published over 20 articles in international journals and conferences. Sanjay Kumar is an Associate Professor and Head of the Department of Computer Science and Engineering, National Institute of Technology, Jamshedpur. He received his Ph.D. degree in the safety analysis of computer-based systems from the National Institute of Technology, Jamshedpur, India. He held numerous positions in academic and research activities throughout his career. His research interests are network security, mobile computing, parallel &distributed systems, and artificial intelligence, etc. He is a member of the Association for Computing Machinery (ACM), Computer Society of India (CSI), and Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST).

• An Efficient Android Application Controlled Car for Human Safety Against COVID-19.- Regular Self-Health Monitoring and Medicine Reminder System with Emergency Alert Messaging using IoT.- A General Data Retrieval Technique in Remote Healthcare Application.- Effective view of Swimming Pool using Autodesk 3ds Max: 3D Modelling and Rendering.- Applications and Challenges in  Internet of Vehicles: A Survey.- Industrial IoT: Development of Smart Cooler for Solder Paste Storage and Management.- Supervised Machine Learning Approaches for Attack Detection in the IoT Network.