Submission Deadline: June 15, 2021 Extended Deadline: July 8, 2021
Firmed Extended Deadline: July 15, 2021
Acceptance Notification: July 28, 2021
Camera-Ready Version: August 15, 2021
Workshop: August 23, 2021
The workshop solicits
long research papers (not exceeding 15 pages excluding references),
short research papers (not exceeding 6 pages excluding references) and
work-in-progress papers (not exceeding 6 pages excluding references).
Research papers must present original unpublished work which is not submitted elsewhere. In order to foster the exchange of ideas, we also encourage work-in-progress papers, which present recent or on-going work.
The papers should be written in English and formatted according to the EPTCS guidelines.
Papers can be submitted using the EasyChair system.
All submissions will undergo a peer-reviewing process.
Accepted research papers will be presented at the workshop and are expected to be published in the Electronic Proceedings in Theoretical Computer Science (EPTCS).
Accepted work-in-progress papers will be presented at the workshop but will not be included in the proceedings.
Verification, parameter identification and control synthesis for hybrid systems
Probabilistic inference and reachability for stochastic hybrid systems
Symbolic and numerical integration and decision techniques
Emerging applications to safe autonomous systems in uncertain environments
Resiliency and dependability in CPS and IoT
Temporal logic-based monitoring, reasoning and synthesis for CPS and IoT
We encourage submissions of papers in the following two specific areas:
Verification of models used in machine learning and autonomous CPS
Learning algorithms are at the core of many engineering applications including robotics and autonomous vehicles. We invite research papers on verification of models used in machine learning and autonomous CPS. In particular, recent advances in autonomous cars require addressing challenging questions around their safety and reliability.
Symbolic and numerical techniques for verification and synthesis of stochastic models
Autonomous systems operate in uncertain environments. Thus, it is essential to reason about the effect of uncertainty. We invite research papers on symbolic and numerical techniques for formal synthesis of stochastic systems.