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DX 2019 : 30th International Workshop on Principles of Diagnosis

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Link: https://dx-workshop.org/2019/
 
When Nov 11, 2019 - Nov 13, 2019
Where Klagenfurt, Austria
Submission Deadline Jul 20, 2019
Notification Due Aug 20, 2019
Final Version Due Sep 1, 2019
Categories    diagnosis   computer science   artificial intelligence   machine learning
 

Call For Papers

With an Artificial Intelligence focal point, the aim of the annual DX Workshop is to unite researchers and practitioners with diverse backgrounds in order to leverage research in the global context of diagnosis, that is, identifying the root causes for encountered malfunctions. Since 1989, the DX Workshop series has been offering a forum to present current research and experience reports, exchange and discuss emerging ideas, as well as debate current issues and envisioned future challenges. Relevant topics are related to fault diagnosis, monitoring, testing, debugging, reconfiguration, fault-adaptive control, fault recovery, and repair.

In 2019, the 30th International Workshop on Principles of Diagnosis DX’19 will take place in Klagenfurt, Austria from November 11th-13th, 2019. More information on the exact venue will be sent at a later date.

We are looking forward to submissions on any diagnosis-related topic, including:

- Formal theories and computation methods for diagnosis, including submissions on fault monitoring, detection and isolation, as well as testing, repair and therapy, reconfiguration, fault tolerance, and diagnosability analysis.

- Models for diagnosis, including discrete, discrete-event, timed, qualitative, continuous, hybrid, behavioral, and functional models. Approximation, abstraction, refinement, reformulation, and uncertainty representation are of special interest.
Automated approaches to learn models and improve incomplete models for diagnosis.

- Diagnosis processes, including submissions on strategies for measurement selection, active diagnosis/testing, sensor placement, embedded diagnosis, preventive diagnosis and fault-adaptive control, distributed diagnosis, as well as human interaction with the diagnosis engine and other usability issues.

- Connections and interplay between AI-based diagnosis methods and research in related areas such as FDI, control theory, statistics, machine learning, knowledge representation, planning and optimization, autonomous and/or dependable systems, safety, verification, software engineering, debugging, as well as hardware instrumentation and testing.

- Real-world applications of diagnosis, including scenarios in space applications as well as transportation, aeronautics, robotics, manufacturing, energy, networks, services, and medical domains. Case studies concerning successful or failing technology transfer to a specific application are especially welcome.

Papers must not exceed eight pages in the double column A4 format provided at the DX’19 website (dx-workshop.org/2019). Papers presenting mature research work are of special interest but papers presenting tools, benchmarks, preliminary works based on original ideas for diagnosis or real-world applications are also welcome. Authors are required to submit their papers electronically via the DX’19 website. All submissions will be peer-reviewed, and accepted papers will be scheduled for either an oral or a poster presentation. By submitting a paper, the corresponding authors agree that for each accepted paper at least one of its authors has to register and attend the workshop in order to present her/their work.

Submission link: https://easychair.org/conferences/?conf=dx2019

Symposium website: https://dx-workshop.org/2019

We are looking forward to receiving your submissions and seeing you at DX’19!

Gregory Provan, DX’19 chair

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