Topics of interest cover, but are not limited to, the following aspects of the hybrid systems field:

Mathematical foundations, computability and complexity
Analysis, verification, validation, and testing
Modeling paradigms and techniques
Design, synthesis, planning, and control
Programming and specification languages
Network science and network-based control
Security, privacy, and resiliency in cyber-physical systems with a focus on computation and control
Artificial intelligence and machine learning in control algorithms
Software tools for above topics
Applications 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