Special Session 2: Blockchain, AI and Data Analytics for Smart and Sustainable Systems

Organiser

Dr. Sakshi Gupta is an Associate Professor at Dronacharya College of Engineering, Gurugram, with over seven years of academic and research experience. She has 16 SCI and Scopus indexed publications and edited a Scopus-indexed book. She has served as a Session Chair and reviewer at reputed international conferences, SCI-indexed journals and delivered expert talks at leading academic institutes. She is also a recipient of the Research Excellence Award.

 



Mr. Hilal Ahmad Shah is an Assistant Professor at IILM University, Greater Noida, with over 5 years of academic and industry experience. He has contributed to teaching, research, and academic leadership and published more than five Scopus-indexed papers and book chapters in emerging technologies. He has held key coordination roles and also served as a reviewer and session chair at reputed international conferences.

 

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Introduction

The rapid convergence of Blockchain, Artificial Intelligence (AI), and Data Analytics is creating new opportunities for developing secure, intelligent, and sustainable digital systems. This Special Session, titled “Blockchain, AI and Data Analytics for Smart and Sustainable Systems,” aims to provide a platform for researchers and practitioners to present recent advances at the intersection of these technologies. The motivation behind the session is to address emerging challenges related to trustworthy data management, intelligent decision-making, privacy, security, automation, and sustainable digital transformation across domains such as healthcare, smart cities, IoT, energy, supply chains, and Industry 5.0.
The proposed session will bring together high-quality research contributions focusing on innovative methodologies, AI-driven blockchain solutions, intelligent data analytics, predictive models, smart contracts, blockchain-enabled IoT, and data-driven applications for sustainable systems. The committed papers are expected to demonstrate novel approaches supported by rigorous methodologies, experimental validation, and practical relevance. Their potential impact lies in advancing intelligent and trustworthy digital solutions, promoting interdisciplinary research, and addressing real-world challenges through the integration of Blockchain, AI, and Data Analytics.

Related topics for this special session (but not limited to) :
Topics to be discussed in this special session include (but are not limited to) the following:


• Blockchain and AI Integration for Intelligent Systems
• AI-Driven Blockchain Analytics and Data Mining
• Machine Learning for Blockchain Applications
• Smart Contracts and Intelligent Automation
• Blockchain-Enabled IoT and Cyber-Physical Systems
• Blockchain and AI for Smart Cities
• Intelligent Healthcare and Secure Health Data Management
• Blockchain and AI for Supply Chain Intelligence
• Data Analytics for Sustainable Energy Systems
• Blockchain for Environmental Monitoring and Carbon Management
• Predictive Analytics for Smart and Sustainable Systems
• Fraud, Anomaly and Risk Detection in Blockchain Networks
• Intelligent Data Management and Knowledge Discovery
• Blockchain, AI and Data Analytics for Industry 5.0
• Trustworthy and Sustainable Digital Transformation