Real-World Applications and Implementations of IoT

About

Dr. Aritra Acharyya is currently working at Department of Electronics and Communication Engineering Kalyani Government Engineering College Department of Electronics and Communication Engineering Kalyani West Bengal - 741235 India as an Assistant Professor. He was born in 1986. He received B.E. and M.Tech. degrees from IIEST Shibpur India and Institute of Radio Physics and Electronics University of Calcutta India in the years 2007 and 2010 respectively. Finally he obtained Ph.D. degree from Institute of Radio Physics and Electronics University of Calcutta in the year 2016. His research interests are high frequency semiconductor devices nano-structures semiconductor physics transport phenomena quantum mechanics optoelectronics IoT machine learning etc. He has published 95 research papers in peer reviewed national and international journals 64 research papers in national and international conference proceedings and several book chapters. He also authored and edited 07 and 06 number of books respectively.   Dr. Prasenjit Dey received the B.Tech. Degree in computer science and engineering from the West Bengal University of Technology Kolkata India in 2010 and the M.Tech. Degree in computer science and engineering from the National Institute of Technology Durgapur Durgapur India in 2012. He was an Associate Innovator with Nivio Technologies Gurgaon India in 2012. He was a hardware graphics designer at Intel from 2017 to 2018. He received his Ph.D. degree in computer science and engineering from the National Institute of Technology Durgapur Durgapur India in 2018. He was an Assistant Professor in the computer science and engineering at Cooch Behar Government Engineering College Cooch Behar India. He joined the National Institute of Technology Rourkela Odisha India as an Assistant Professor in the Department of Computer Science in 2023 and is currently working. His current research interests include artificial neural networks pattern recognition machine learning etc. He has many research publications in internationally reputed journals like IEEE Transactions on Systems Man and Cybernetics IEEE Transactions on Artificial Intelligence IEEE Internet of Things Journal Impact Biomedical Signal Processing and Control Pattern Recognition etc.. He has more than 15 research publications in internationally reputed edited books and international conference proceedings.   Dr. Sujit Biswas is a distinguished blockchain researcher and academic with a profound impact on the field of distributed ledger technology. He is a Lecturer (equivalent to Assistant Professor) in Cybersecurity and FinTech Computer Science Department City University of London UK and Research Associate (Honarary) at CBT University College London (UCL).  Prior to this position he was a lecturer in Computer Science and Digital Technologies at the University of East London; a research fellow in blockchain and AI at the University of Surrey's Centre for Vision Speech and Signal Processing (CVSSP). He also served as an assistant professor in the Department of Computer Science and Engineering at Faridpur Engineering College Dhaka University Bangladesh. He holds a Ph.D. in Computer Science and Technology from the Beijing Institute of Technology China and has dedicated his career to exploring the theoretical foundations and practical applications of blockchain technology. Dr. Sujits research focuses on consensus algorithms scalability solutions and privacy-enhancing techniques within blockchain systems. His innovative work has been published in numerous prestigious journals and presented at international conferences earning her recognition as a thought leader in the blockchain space. For instance the IEEE Internet of Things Journal IEEE Transactions on Big Data IEEE Transactions on Engineering Management IEEE Transactions on Service Management Computer Magazine ACM Computing Surveys etc. In addition to his research contributions Dr. Sujit Biswas is a passionate educator and mentor inspiring the next generation of Blockchain enthusiasts Federated Machine Learning Deep Learning Machine Learning domains Internet of Things etc. Furthermore Dr. Sujit is actively involved in collaborative projects with both industry and government entities working to bridge the gap between academia and real-world blockchain applications.