HSCC/ICCPS 2026 will be a collaboration between two premier conferences in the Cyber-Physical Systems (CPS) community. For the first time, the International Conference on Hybrid Systems: Computation and Control (HSCC) and the ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) will operate as a unified event with parallel sessions, joint keynotes, and a common program committee, while maintaining their distinct identities and publication venues. We are creating a third pillar on AI-enabled autonomy to showcase publications in this important and rapidly emerging area for our community.  Additionally, we are  providing a formal space to an existing emphasis by joining forces with the Autonomous Systems Design (ASD) Initiative which has been hosted at the DATE conference for the past 5 years. The combined conference will accept papers in three tracks:

            Foundations,
            Systems and Applications,
            AI-enabled autonomy.

Topics of Interest

Authors should submit their best work to one of the following three tracks, which best aligns with their paper’s primary contribution:

Foundations Track

    Mathematical foundations, computability and complexity
    Formal methods for cyber-physical systems
    Analysis, verification, validation, and testing methodologies
    Modeling paradigms and techniques for hybrid systems
    Control theory for cyber-physical systems
    Programming and specification languages
    Network science and network-based control theory
    Theoretical aspects of safe autonomy
    Formally Verified Artificial Intelligence and Robotics
    Algorithmic foundations for CPS
    High assurance techniques for CPS
    Computational tools and complexity analysis
    Autonomous Systems Design (ASD) specific topics:
        Design processes for trustworthy autonomous systems
        Design, verification, test, and maintenance of autonomous systems
        HW/SW architectures for dependable and resilient autonomous systems
        Models and HW/SW mechanisms for self-X capabilities
        Mastering emergent and evolving behavior (goals, constraints, …)
        Functional safety and cybersecurity of autonomous systems

Systems/Applications Track

    CPS architectures and platforms
    Deployments and industrial applications
    Real-world case studies and testbeds
    System integration and middleware for CPS
    Sensing, actuation, and monitoring systems
    Human-machine interaction in CPS
    Security, privacy, and resilience design and implementations
    Neurosymbolic CPS
    Assurance cases for AI-enabled CPS
    Autonomous Systems Design (ASD) specific topics:
        Design processes for trustworthy autonomous systems
        Design, verification, test, and maintenance of autonomous systems
        HW/SW architectures for dependable and resilient autonomous systems
        Models and HW/SW mechanisms for self-X capabilities
        Mastering emergent and evolving behavior (goals, constraints, …)
        Functional safety and cybersecurity of autonomous systems
    CPS applications in:
        Automotive and transportation systems
        Aerospace and avionics
        Energy and smart grid systems
        Healthcare and medical devices
        Manufacturing and Industry 4.0
        Robotics and autonomous systems
        Smart cities and infrastructure
        Agriculture and environmental monitoring

AI Enabled Autonomy Track

Topics include, but are not limited to:

    Generative AI for cyber-physical systems
    Foundation models and transformers for CPS
    Safe learning and verification of AI-enabled CPS
    Neurosymbolic approaches to autonomy
    Physics-informed machine learning
    Explainable AI for safety-critical systems
    Learning-based control and planning
    Data-driven modeling and analysis
    AI-based situational awareness and decision-making
    Autonomous Systems Design (ASD) specific topics:
        Design processes for trustworthy autonomous systems
        Design, verification, test, and maintenance of autonomous systems
        HW/SW architectures for dependable and resilient autonomous systems
        Models and HW/SW mechanisms for self-X capabilities
        Mastering emergent and evolving behavior (goals, constraints, …)
        Functional safety and cybersecurity of autonomous systems

We are also joining forces with the Autonomous Systems Design (ASD) Initiative which has been hosted at the DATE conference for the past 5 years. ASD-specific topics have been integrated into each of the three pillars of this conference. 

For 2026, the publication venues will be selected by authors, according to the relevant conference (HSCC or ICCPS).