Topics of interest cover, but are not limited to, the following aspects of the hybrid systems field:
Mathematical foundations, computability and complexityAnalysis, verification, validation, and testingModeling paradigms and techniquesDesign, synthesis, planning, and controlProgramming and specification languagesNetwork science and network-based controlSecurity, privacy, and resiliency in cyber-physical systems with a focus on computation and controlArtificial intelligence and machine learning in control algorithmsSoftware tools for above topicsApplications and industrial case studies in: automotive, transportation, autonomous systems, avionics, energy and power, robotics, medical devices, manufacturing, systems and synthetic biology, models for the life sciences, and other related areas