Artificial Intelligence And Digital Twin-Based Big Data Analytics For Blockchain-Iot Enabled Applications

In today’s era, the integration of cutting-edge technologies like Artificial Intelligence (AI), Digital Twin technology, and Big Data Analytics, is transforming Blockchain-enabled IoT ecosystems. Today AI enhances predictive intelligence and decision-making, while Digital Twins create real-time virtual replicas of physical systems for monitoring and simulation. Big Data analytics processes massive IoT-generated data streams to extract actionable insights whereas Blockchain technology ensures data integrity, transparency, and secure decentralized communication among devices. Together, these technologies enable smart, autonomous, and trustworthy systems across domains such as healthcare, smart cities, and industrial automation. This convergence improves efficiency, resilience, and scalability in next-generation IoT applications for modern society.

Amit Kumar Tyagi is an Assistant Professor, at the National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. He has previously worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (July 2009-July 2010, and October 2012- October 2013), Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad (September 2018-May 2019), VIT Chennai (June 2019-November 2022) and NIFT New Delhi (November 2022-September 2025). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a senior member of IEEE.

Shabnam Kumari is a Ph.D. scholar in the Department of Computer Science, Faculty of Science and Humanities, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. She has more than 3 years of experience including teaching, research and other areas. She has completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed more than five national and international patents in the area of IoTs, Machine Learning, Deep Learning and Wireless Network. She has published over twenty research articles in International Conferences and Journals. Her areas of interest include Machine Learning, Deep Learning, and related fields. She is a lifetime member of ACM-Women and SCRS.