International Symposium on Autonomous Decentralized Systems (IEEE ISADS 2026)

The International Symposium on Autonomous Decentralized Systems (IEEE ISADS 2026) explores advancements in autonomous and decentralized systems to support complex, adaptive, and resilient infrastructures across diverse application domains.

Key Topics

• Modeling and simulation of autonomous services and service-oriented applications
• Network and system security, safety, and blockchain applications
• Cloud computing, big data analysis, artificial intelligence, and augmented intelligence
• Architecture-driven and model-driven development of distributed applications
• Autonomous and decentralized services including service protocols, architecture, and collaboration
• Internet-of-Things, cyber-physical systems, reactive systems, and distributed embedded systems
• Assurance, fault tolerance, online expansion, maintenance, and resilience
• Intelligent machine learning systems including supervised, unsupervised, and deep learning
• Industry 4.0, internet plus, autonomous robotics, and transportation systems
• Ad-hoc networks, sensor networks, advanced network infrastructures, and internetworking
• Distributed and collaborative software development and development infrastructure
• Heterogeneous distributed control/information systems and mobile agent-supported work
• Applications for sustainability including food systems, carbon neutrality, and quality of life
• Applications in smart cities such as energy, transportation, and infrastructure
• Innovative uses in areas like e-commerce, e-government, disaster management, and intelligent homes

Who should Attend

• System architects working on distributed or decentralized architectures
• Researchers in autonomous systems and control theory
• Engineers in telecommunications, robotics, or transportation systems
• Developers of intelligent or reactive embedded systems
• Industry professionals focused on smart cities and sustainable technologies
• IT professionals interested in fault tolerance, resilience, and security
• Academics and students researching distributed AI or network infrastructures
• Decision-makers in government and business exploring digital transformation