The book is a collection of high-quality research papers presented at 7th International Conference on Internet of Things and Connected Technologies (ICIoTCT 2022), held at Indian Institute of Technology (IIT) Patna, Bihar, India during 29–30 September 2022. This book presents recent advances on IoT and connected technologies. This book is designed for marketing managers, business professionals, researchers, academicians, and graduate-level students seeking to learn how IoT and connecting technologies increase the amount of data gained through devices, enhance customer experience, and widen the scope of IoT analytics in enhancing customer marketing outcomes.
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Rajiv Misra is an Associate Professor of Computer Science and Engineering at the Indian Institute of Technology Patna, India. His research focuses in distributed systems, cloud computing, big data computing, consensus in blockchain, cloud IoT-edge computing, ad hoc networks, and sensor networks. He has contributed significantly to these research areas of distributed and cloud computing and published more than 80 papers in reputed journals and conferences, with an impact of 999 citations and an h-index of 14.
Muttukrishnan Rajarajan is currently the Director of the Institute for Cyber Security at City University of London and carries out research in the areas of privacy preserving data management, Internet of Things privacy, network intrusion detection, cloud security and identity management using blockchain. Raj has received funding from EPSRC, Royal Academy of Engineering, European Commission, Innovate UK, British Council and industry to carry out research in cyber security. He has supervised several PhDs jointly with British Telecommunications, UK in the area if data analytics for cyber security and network intrusion detection.
Bharadwaj Veeravalli is currently with the Department of Electrical and Computer Engineering, Communications and Information Engineering (CIE) division, at The National University of Singapore, Singapore. His main stream research interests include cloud/grid/cluster computing (big data processing, analytics and resource allocation), scheduling in parallel and distributed systems, Cybersecurity, and multimedia computing. He is one of the earliest researchers in the field of Divisible Load Theory (DLT). He did PhD degree from the Indian Institute of Science, Bangalore, India. He received gold medals for his bachelor degree overall performance and for an outstanding PhD thesis (IISc, Bangalore India) in the years 1987 and 1994, respectively.
Nishtha Kesswani has received prestigious awards, including the UGC Raman Postdoctoral Fellowship tenable in USA and the Young Teacher Award. She received the M.Tech. degree from the Malaviya National Institute of Technology (MNIT). She has a vivid teaching experience at several reputed universities, including California State University at San Bernardino and the University of Ljubljana, Slovenia. She has visited more than 15 countries and delivered invited talks at several conferences and workshops. She is currently with the Central University of Rajasthan, India.
Ashok Patel is a faculty at computer and information science, at UMass Dartmouth USA. Before joining UMass, he taught at the Department of Computer Science of Florida Polytechnic University, USA. He primarily teaches cybersecurity courses and is researching an improved efficient fingerprint recognition algorithm and web usage mining. He’s particularly interested in personalizing the web experience for users and individuals using IoT. He has nearly 30 years of teaching experience. Before immigrating to the United States, he was a professor in the Department of Computer Science at North Gujarat University in India.
The book is a collection of high-quality research papers presented at 7th International Conference on Internet of Things and Connected Technologies (ICIoTCT 2022), held at Indian Institute of Technology (IIT) Patna, Bihar, India during 29–30 September 2022. This book presents recent advances on IoT and connected technologies. This book is designed for marketing managers, business professionals, researchers, academicians, and graduate-level students seeking to learn how IoT and connecting technologies increase the amount of data gained through devices, enhance customer experience, and widen the scope of IoT analytics in enhancing customer marketing outcomes.
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