FMCAD 2025 is the twenty-fifth edition in a series of conferences on the theory and applications of formal methods in hardware and system verification. The conference encompasses a wide range of topics related to formal aspects of computer-aided system design, including verification, specification, synthesis, and testing and provides a leading forum to researchers in academia and industry for presenting and discussing groundbreaking methods, technologies, theoretical results, and tools for reasoning formally about computing systems.

Topics of Interests

FMCAD welcomes submission of papers reporting original research on advances in all aspects of formal methods and their applications to computer-aided design.

Topics of interest include (but are not limited to):

    Model checking, theorem proving, equivalence checking, abstraction and reduction, compositional methods, decision procedures at the bit- and word-level, probabilistic methods, combinations of deductive methods and decision procedures.
    Synthesis and compilation for computer system descriptions, modeling, specification, and implementation languages, formal semantics of languages and their subsets, model-based design, design derivation and transformation, correct-by-construction methods.
    Application of formal and semi-formal methods to functional and non-functional specification and validation of hardware and software, including timing and power modeling, verification of computing systems on all levels of abstraction, system-level design and verification for embedded systems, cyber-physical systems, automotive systems and other safety-critical systems, hardware-software co-design and verification, and transaction-level verification.
    Experience with the application of formal and semi-formal methods to industrial-scale designs; tools that represent formal verification enablement, new features, or a substantial improvement in the automation of formal methods.
    Application of formal methods to verifying safety, connectivity and security properties of networks, distributed systems, smart contracts, block chains, and IoT devices.
    Application of formal methods to the analysis of machine learning systems, and applications of machine learning to enhance formal methods techniques.