Technical Program Committee

The aerospace industry is entering a transformative era, driven by advancements in artificial intelligence (AI) that promise to revolutionize safety, security, and operational efficiency. As AI technologies become increasingly integrated into aerospace systems, from predictive maintenance to autonomous flight operations, the importance of ensuring robust safety protocols and cybersecurity measures is mandatory. Safety remains the cornerstone of aerospace innovation, while secure systems are essential to protect sensitive data and prevent malicious interference. By embracing AI responsibly and prioritizing safety and security, the industry can unlock unprecedented opportunities while safeguarding passengers, assets, and critical infrastructure. This balance between innovation and risk mitigation is key to building trust and ensuring the continued growth of aerospace in the age of AI. The 45th DASC will investigate the role of digital avionics in the Age of AI for the next generation of air and space vehicles. We provide the forum to present solutions making aerospace transformation possible, analyze open issues, and discuss disruptive ideas. You are invited to present your research addressing current and future challenges of avionics systems and exchange diverse perspectives with the world’s leading experts in the field.

The Avionics Technologies track highlights emerging methods, architectures, and tools that address the growing complexity of modern avionics systems across development, certification, operation, and maintenance. Contributions span model-based data management, resilient communications, embedded AI, signal processing, verification, virtualization, advanced computing platforms, and wireless as well as vision-based avionics applications. Across these works, a common theme is the pursuit of trustworthy, certifiable, and resource-efficient solutions that improve system performance, traceability, resilience, and automation in safety-critical environments. Together, the papers illustrate how novel digital engineering, machine learning, hardware/software co-design, and scalable system architectures are shaping the next generation of avionics capability.

This conference track brings together advances in Communications, Navigation, Surveillance, and Information Networks for increasingly autonomous, connected, and contested aerospace operations. Across topics including resilient GNSS and alternative PNT, joint communication and sensing, 5G/6G-enabled tracking, UAM/U-space surveillance, secure TSN and hybrid datalinks, and cyber-resilient networked systems, the papers highlight how future CNS architectures must perform under urban clutter, interference, spoofing, congestion, and degraded infrastructure. Collectively, the track showcases scalable and certifiable approaches to enabling safe, reliable, and high-performance aerospace operations in complex real-world environments.

This Urban, Advanced Air Mobility & New Space track highlights how the field is moving from concept to scalable deployment by tackling the core barriers of traffic management, safety assurance, autonomy, and operational feasibility across dense low-altitude environments. Across the papers, researchers emphasize integrated solutions for UATM/AAM operations including AI-enabled controller assistance, strategic and tactical deconfliction, onboard sense-and-avoid, safe trajectory generation, vertiport scheduling, fleet sizing, simulation, and resilient communications, while also addressing broader adoption challenges such as noise acceptability, cybersecurity, energy management, and certification-ready autonomy. Together, the papers show a maturing ecosystem in which AI, optimization, digital twins, advanced sensing, and systems engineering are being combined to make urban air operations safer, more efficient, socially acceptable, and economically viable.

This Human Factors track explores how AI, automation, and advanced interfaces are reshaping aviation decision-making, situational awareness, trust, workload, and safety across contexts ranging from airport docking, flight planning, ATC, and weather visualization to defense operations, U-space, cybersecurity, and single-pilot/autonomy teaming. Across the abstracts, a common theme is that performance gains from intelligent systems depend on human-centered design principles such as transparency, interactive control, intent visualization, adaptive information management, robust communication support, and certification approaches that explicitly account for cognitive and organizational factors. Together, the papers present a socio-technical view of future aviation in which AI should augment rather than replace human expertise, with research emphasizing measurable safety benefits, explainability, operator trust, resilience to ambiguity, and the need for training and assurance frameworks that keep humans effectively in the loop.

This AI for Aerospace track highlights how artificial intelligence is reshaping aerospace through safer autonomy, resilient communications and surveillance, predictive maintenance, cybersecurity, and mission decision support. Across the sessions, a common theme is the fusion of AI with physics-based models, edge computing, simulation, and human oversight to solve high-impact problems in air traffic management, UAS operations, space systems, avionics assurance, and aircraft health monitoring. The focus is not just performance gains, but also trust, explainability, certification, privacy, and operational robustness in safety-critical environments. Together, the papers in this track present AI as an enabling technology for more adaptive, secure, and scalable aerospace systems spanning civil aviation, defense, and space.