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. Sujit's 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.
