AI-Driven Blockchain and Intelligent Systems for Secure and Trustworthy Computing
Main Organizer: Dr. Pratima Sharma, Roosevelt University, Chicago, USA
Co-organizer: Manoj Aggarwal, Crowdstrike, USA
Keywords: Blockchain, Artificial Intelligence, IoT Security, Federated Learning, Trustworthy Computing
Submission Portal: https://easychair.org/conferences/?conf=aaiml2026
Brief Description and Justification:
The rapid growth of Artificial Intelligence (AI) and Machine Learning (ML) in distributed and data-driven environments has significantly increased the need for secure, transparent, and reliable computational systems. As industries adopt intelligent solutions in domains such as smart healthcare, smart cities, autonomous systems, and financial technologies, integrating AI with blockchain has emerged as a promising approach to enhancing data integrity, decision accuracy, and system-level trust.
This special session aims to explore AI-enhanced blockchain frameworks and intelligent systems that address challenges related to privacy, security, transparency, and decentralized automation. By combining blockchain’s immutable trust infrastructure with AI’s predictive and adaptive capabilities, researchers can develop next-generation secure architectures for IoT networks, cyber-physical systems, and data-intensive applications. Topics of interest include blockchain-enabled federated learning, privacy-preserving machine learning, decentralized identity management, cryptography for trusted AI, intelligent threat detection in IoT systems, and AI-guided consensus mechanisms.
The proposed session aligns strongly with the theme of AAIML 2026, focusing on innovative advancements in AI and ML designed to improve the reliability, robustness, and scalability of modern digital systems. It will attract interdisciplinary research that bridges AI, blockchain, cybersecurity, and IoT domains, providing a platform for knowledge sharing and collaboration.
About the Organizers:
Dr. Pratima Sharma is a full-time faculty member in the Department of Computer Science at Roosevelt University in Chicago, USA. With over six years of combined experience in academia and industry, her research and teaching focus on blockchain technology, information security, and cybersecurity. At Roosevelt University, Dr. Sharma brings real-world insight into her classroom, teaching subjects such as Operating Systems, Programming, Web Technologies, Smart-Contracts, and Blockchain Foundations. Her scholarly work spans decentralized systems for healthcare, storage and cloud environments, smart contract platforms, and threat mitigation using cryptographic and blockchain-based approaches. Dr. Sharma has published in peer-reviewed journals and conference proceedings, and she has achieved significant citation milestones on Google Scholar, reflecting her impact in the field of emerging technologies.
Mr. Manoj Aggarwal is a Senior Engineer in the Technology Operations (TechOps) division at CrowdStrike Inc., specializing in large-scale systems operations, cloud infrastructure management, and security-driven engineering. With significant industry experience working in high-performance and mission-critical environments, he focuses on building reliable, scalable, and secure operational frameworks that support global cybersecurity services. At CrowdStrike, Manoj contributes to enhancing the resilience and efficiency of distributed systems through automation, performance optimization, and operational intelligence. His work emphasizes integrating advanced technologies, including cloud-native architectures, DevOps tools, and modern monitoring ecosystems, to ensure seamless service delivery and rapid incident response. He is also actively involved in cross-functional collaborations aimed at strengthening infrastructure security and operational best practices. Manoj’s technical expertise spans cloud computing, infrastructure automation, system reliability engineering, and secure operations.