29th-30th JUNE 2027 – LONDON, UK

Kirk Avery

Kirk Avery

  • Senior Fellow and the Mission Systems and Autonomous Technologies Chief Architect
  • Lockheed Martin, USA

Kirk Avery is a Lockheed Martin Senior Fellow and the Mission Systems and Autonomous Technologies Chief Architect with over 35 years’ experience in architecting and deploying solutions for fixed, rotary, and unmanned aircraft systems.

Over the course of his career, Kirk has architected and provided leadership for the creation and deployment of many modular, open solutions, platforms, and products. Kirk’s responsibilities include the implementation of the organization’s Open Systems Approach and product-line strategy and is a subject matter expert in systems/software engineering and open architecture.

Kirk served as the Future Airborne Capability Environment (FACE®) Consortium’s Technical Working Group Chair or Vice-Chair from the Consortium’s inception through 2019 and currently serves as the FACE Steering Committee Vice-Chair and Conformance Verification Subcommittee Co-Chair. Kirk currently serves as the Sensor Open Systems Approach (SOSA®) Consortium’s Technical Working Group Vice-Chair. Kirk also serves as Lockheed Martin’s Primary Steering Committee member for both the FACE and SOSA Consortiums, and is involved in multiple other open architecture efforts.

Sessions

  • Data Modelling for Faster Integration: The FACE Approach

    FACE technical standard and data architecture

    Open architectures and emerging technologies are reshaping how avionics systems are integrated. Within the Future Airborne Capability Environment (FACE), data modelling—through the Open Universal Domain Description Language (Open UDDL)—provides a common, extensible method for defining and exchanging data. By eliminating ambiguity and supporting model-based engineering, Open UDDL accelerates integration and enables greater reuse of COTS and software components. This session explores how FACE data modelling improves interoperability, speeds capability delivery, and aligns with advances in AI-driven data analysis and system management—ensuring integration is faster, more reliable, and adaptable across next-generation airborne and mission systems.