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Autonomous systems are fast becoming the primary weapon for militaries on the battlefield, as seen currently in the war in Ukraine. The force multiplier that uncrewed aerial systems (UASs) have been on that battlefield has motivated the U.S. military to drastically reform their acquisition approach by way of removing bureaucratic obstacles to get autonomous systems technology into warfighters’ hands more quickly. These reforms mean faster acquisition of sensor processing technology, artificial intelligence (AI) and security solutions, and will lead to more systems that follow a modular open systems approach (MOSA) to enable smarter, faster, and more lethal autonomous systems. This approach will also spur development of complex and effective countermeasures to adversarial UxS platforms.
Autonomous systems are fast becoming the primary weapon for militaries on the battlefield, as seen currently in the war in Ukraine. The force multiplier that uncrewed aerial systems (UASs) have been on that battlefield has motivated the U.S. military to drastically reform their acquisition approach by way of removing bureaucratic obstacles to get autonomous systems technology into warfighters’ hands more quickly. These reforms mean faster acquisition of sensor processing technology, artificial intelligence (AI) and security solutions, and will lead to more systems that follow a modular open systems approach (MOSA) to enable smarter, faster, and more lethal autonomous systems. This approach will also spur development of complex and effective countermeasures to adversarial UxS platforms.
Tue, Oct. 20, 2026 · 11:00 am (PDT)
Director of Product Management, Lynx
Bob Monkman is the Director of Product Management for the MOSA.ic.AI platform at Lynx Software Technologies. Bob has been active in the embedded software industry for over 30 years. Bob has held leading roles in product management, product and segment marketing, open-source strategy, strategic alliances, technical marketing, as well as applications and software engineering, primarily in mission critical and safety critical sectors.
Principal Trustworthy AI Engineer, Ansys, part of Synopsys
Dr. Gabriel Pedroza has over two decades of R&D experience spanning seven years at CEA-List (Paris-Saclay University) and, since 2023, a role as Principal R&D Trustworthy AI Engineer at Ansys/Synopsys. His academic foundation includes a Ph.D. in security of embedded and distributed systems (Télécom-ParisTech, 2013), an M.Sc. in AI (Metropolitan Autonomous University, 2007), and a B.Sc. in Physics and Mathematics (National Polytechnic Institute, 2001). His research spans system and software modelling languages, formal methods, and Model-Driven Engineering, with a focus on safety and security across critical domains. He has contributed to numerous national and European research projects and co-organized the AISafety and SafeAI workshops. Gabriel currently works at the intersection of trustworthy AI, autonomy, and AI alignment with safety and security standards. He is an active participant in aerospace and automotive standardization groups targeting AI safety certification.
Tue, Sep. 15, 2026 · 11:00 am (PDT)
Technical Account Manager, Lynx
Ethan Salehi is a Technical Account Manager at Lynx and a Ph.D. researcher at Kennesaw State University, where his research focuses on safe and secure real-time operating systems for multicore embedded systems. He has extensive experience supporting defense and aerospace programs with certifiable software solutions aligned with MOSA, FACE, and DO-178C standards. Ethan previously served as a FACE Verification Authority at LDRA and contributed to multicore interference analysis initiatives in collaboration with the U.S. Army. His work bridges theoretical architectures and practical deployment of OS-level standardization, supporting mission-critical environments such as degraded visual operations and autonomous systems.
EVP & Group Editorial Director, Military Embedded Systems
Thu, Aug. 27, 2026 · 11:00 am (PDT)
Principal Software Engineer, Lynx
Ernie Harrison is a Principal Engineer at Lynx, where he leads the development of safety-critical GPU compute and AI technologies based on Vulkan SC. With more than 15 years of experience in embedded software, real-time operating systems, and safety-critical graphics, he has helped architect and deliver DO-178 certifiable GPU drivers, graphics libraries, and compute technologies for aerospace, defense, and other mission-critical industries.
Throughout his career at Wind River, CoreAVI, and now Lynx, Ernie has worked closely with leading aerospace and defense organizations and technology partners to bring high-performance graphics and compute capabilities to certifiable embedded platforms. His work spans embedded Linux, virtualization, real-time operating systems, GPU drivers, OpenGL SC, Vulkan SC, and deterministic GPU compute.
Today, Ernie's focus is enabling safety-critical AI through Vulkan SC Compute, helping customers deploy deterministic, certifiable GPU-accelerated AI applications on embedded platforms. In this webinar, he will introduce Lynx's new Vulkan SC-based Compute AI products and discuss how they enable next-generation AI capabilities for safety-critical systems.
Throughout his career at Wind River, CoreAVI, and now Lynx, Ernie has worked closely with leading aerospace and defense organizations and technology partners to bring high-performance graphics and compute capabilities to certifiable embedded platforms. His work spans embedded Linux, virtualization, real-time operating systems, GPU drivers, OpenGL SC, Vulkan SC, and deterministic GPU compute.
Today, Ernie's focus is enabling safety-critical AI through Vulkan SC Compute, helping customers deploy deterministic, certifiable GPU-accelerated AI applications on embedded platforms. In this webinar, he will introduce Lynx's new Vulkan SC-based Compute AI products and discuss how they enable next-generation AI capabilities for safety-critical systems.
EVP & Group Editorial Director, Military Embedded Systems
