****************************************************
The Twelfth NASA Formal Methods Symposium
https://ti.arc.nasa.gov/events/nfm-2020/
11 - 15 May 2020
NASA Ames Research Center, Moffett Field, CA, USA
****************************************************
Theme of the Symposium:
-----------------------
The widespread use and increasing complexity of mission-critical and
safety-critical systems at NASA and the aerospace industry requires advanced
techniques that address their specification, design, verification, validation,
and certification requirements. The NASA Formal Methods Symposium is a forum to
foster collaboration between theoreticians and practitioners from NASA,
academia, and industry, with the goal of identifying challenges and providing
solutions towards achieving assurance for such critical systems. New
developments and emerging applications like autonomous on-board Software for
Unmanned Aerial Systems (UAS), UAS Traffic Management (UTM), advanced
separation assurance algorithms for aircraft, and the need for system-wide
fault detection, diagnosis, and prognostics provide new challenges for system
specification, development, and verification approaches. The focus of these
symposiums are on formal techniques and other approaches for software
assurance, including their theory, current capabilities and limitations, as
well as their potential application to aerospace, robotics, and other
NASA-relevant safety-critical systems during all stages of the software
life-cycle.
Topics of Interest:
-------------------
We encourage submissions on cross-cutting approaches that bring together formal
methods and techniques from other domains such as probabilistic reasoning,
machine learning, control theory, robotics, and quantum computing among others.
* Formal verification, including theorem proving, model checking, and
static analysis
* Advances in automated theorem proving including SAT and SMT solving
* Run-time verification
* Techniques and algorithms for scaling formal methods, such as abstraction
and symbolic methods, compositional techniques, as well as parallel and/or
distributed techniques
* Code generation from formally verified models
* Safety cases and system safety
* Formal approaches to fault tolerance
* Design for verification and correct-by-design techniques
* Theoretical advances and empirical evaluations of formal methods
techniques for safety-critical systems, including hybrid and embedded systems
* Formal methods in systems engineering and model-based development
* Applications of formal methods in the development of:
* autonomous systems
* safety-critical artificial intelligence systems
* cyber-physical, cyber-security, embedded, and hybrid systems
* fault-detection, diagnostics, and prognostics systems
* Use of formal methods in:
* assurance cases
* human-machine interaction analysis
* requirements generation, specification, and validation
* automated testing and verification
Important Dates:
----------------
Abstract Submission: 12 Dec 2019
Paper Submission: 19 Dec 2019
Paper Notifications: 20 Feb 2020
Camera-ready Papers: 27 Mar 2020
Symposium: 11-15 May 2020
Location & Cost:
----------------
The symposium will take place in Building 3, NASA Ames Research Center, Moffett
Field, CA,USA, May 11--15, 2020.
There will be no registration fee for participants. All interested individuals,
including non-US citizens, are welcome to attend, to listen to the talks, and
to participate in discussions; however, all attendees must register.
Organizers:
-----------
Dimitra Giannakopoulou (General Chair)
Anastasia Mavridou (General Chair)
Ritchie Lee (PC Chair)
Susmit Jha (PC Chair)
Maxime Arthaud (Local Organization)
Hamza Bourbouh (Local Organization)
---
To opt-out from this mailing list, send an email to
fm-announcements-requ...@lists.nasa.gov
with the word 'unsubscribe' as subject or in the body. You can also make the
request by contacting
fm-announcements-ow...@lists.nasa.gov
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai
