We are honored to be co-organizers of the 32nd International DX-2021 Conference this year! The call for papers has started.
Diagnosis is a classic part of research in the field of artificial intelligence. The aim of the annual DX workshop is to bring together researchers and practitioners from different backgrounds to advance research in the field of diagnostics, i.e. identifying the causes of malfunctions that occur.
Since 1989, the DX workshop series has provided a forum for presenting current research and experience reports, exchanging and discussing new ideas, and discussing current problems and future challenges. Relevant topics include fault diagnosis, monitoring, testing, troubleshooting, reconfiguration, fault-adaptive control, troubleshooting and repair.
The conference will take place in Hamburg, in the north of Germany. Located on the Elbe River and in close proximity to both the Baltic Sea and the North Sea with its beaches and traditional seaside resorts, Hamburg is one of the most attractive cities in Europe and also an economic center and the busiest port in Germany.
Artificial Intelligence Center Hamburg (ARIC) e.V.
Van-der-Smissen-Straße 9
22767 Hamburg
Hamburg is easy to reach via its airport and offers a large selection of hotels. You can find more information under the Participants Link.
CALL FOR PAPERS
The DX-2021 Program Committee invites submissions of technical papers for DX-2021, which will be held in Hamburg, Germany, September 13-15, 2021. The DX-2021 Program Committee welcomes submissions on topics related to, but not limited to, the following topics:
Formal theories and computational methods for diagnosis that include monitoring, detection and isolation, testing, repair and therapy, reconfiguration, fault tolerance, diagnostic capability analysis, and other related topics.
Modeling for diagnosis that includes discrete, discrete-event, qualitative, continuous, hybrid, probabilistic, behavioral, and functional modeling along with abstraction, approximation, and reformulation methods. Effective modeling approaches for large systems are of particular relevance.
Computational issues in diagnosis that address combinatorial explosion, the use of structural and hierarchical knowledge, focusing strategies and heuristics, resource-constrained reasoning, real-time analysis, precompilation, and other related topics.
Diagnostic processes that include strategies for measurement selection, sensor placement, active testing, embedded diagnosis, distributed diagnosis, preventive diagnosis, fault-adaptive control, and human interaction with diagnostic systems.
Connections and interactions between (AI-based) diagnostic methods and related fields: FDI, control theory, statistics, machine learning, knowledge representation, planning and optimization, autonomous systems, safety, verification, software engineering and debugging, and hardware instrumentation and test.
Real-world applications and integrated systems in a variety of fields, including transportation, aerospace and aviation, robotics, manufacturing, energy, networks and services, and medical fields.Technology transfer case studies that have led to success or failure are particularly welcome.
Important data
Deadline for the submission of papers: 23:59 on April 30, 2021
Deadline for paper reviews: July 1, 2021
Notification of acceptance: July 22, 2021
Registration deadline: August 15, 2021
Camera ready copies due: August 12, 2021
Workshop: September 13 to 15, 2021
