DSN-2026: Industry Track Call For Contributions

The extensive reliance on computing systems and networks raises numerous dependability challenges. Researchers and practitioners face complex interdisciplinary issues, from manufacturing technology to hardware and software development, networking, integration of complex systems, and cyber-security. The DSN-2026 Industry track provides a forum for interaction between industry and academia, and presentation of the latest R&D and operational challenges, practical solutions, case studies, and field dependability data.

Industry contributions to the DSN community are invited to address dependability issues related to either the development process or the operation of critical systems as seen from an industrial perspective.

The topics of interest target several aspects of dependable systems and networks:

• Hardware (e.g., VLSI, FPGA, and SOC)
• Technology (e.g., FinFET, nanotechnology, soft errors, and obsolescence of HW components)
• Networks (e.g., networks on a chip, optical networks, and wireless networks)
• Software (e.g., applications, middleware, and operating systems)
• Security (e.g., hardware and software cyber-security, and network security)
• Safety (e.g., autonomous critical systems/objects, car-to-X, plane-to-X systems, robots)
• Field data (e.g. hardware and software fault/error data)
• AI/ML (e.g., trustworthiness, fairness, adversarial attacks and defenses, factuality, toxicity and robustness)
• Applications (e.g., embedded systems, drive by wire, and autonomous vehicles)
• Development paradigms (e.g., AIOps, MLOps, DevSecOps)

The Industry Track aims in particular at promoting and fostering discussion on advanced current work in an industrial context, feedback from experiments, scalability issues regarding recent techniques, novel technology-related problems, etc.

The objective of this track is not to compete with the main DSN track, where finalized research and development work is presented, but to give the members of industrial and academic communities the opportunity to discuss hot topics regarding the future of dependable systems and networks, and to share experience among different industrial domains including, but not limited to dependability, privacy, safety, and security issues in:

• Cyber-physical systems and Internet of Things (IoT)
• Intelligent vehicles and transportation systems (e.g., road, rail, air, maritime)
• Clouds, software-defined data centers, and virtual machines
• Embedded and edge computing, and extreme scale systems
• System operations
• Critical infrastructures (e.g., smart grids, telecommunications)
• Big data systems
• AI/ML, and AI/ML-based systems
• Physical AI systems
• Blockchain and financial technology (Fintech) systems

We solicit contributions addressing different aspects including a focus on specific dependability aspects in practice, either a product or service offered to the market or dependability analysis tools, dependability challenges, practical solutions, tradeoffs, strengths and weaknesses of adopted solutions, lessons learned, and field and/or measured data.

Important dates:

• March 2, 2026: Abstract Submission Deadline
• March 9, 2026: Paper Submission Deadline
• April 20, 2026: Notification to Authors
• April 28, 2026: Camera-ready Materials

* All dates refer to AoE time (Anywhere on Earth) *

Submission Guidelines:

All materials must be written in English up to 6 pages (IEEE double-column format). The list of references is not included in the 6 pages. Papers must be submitted in their final form.

Practical aspects of previously presented scientific papers in a recent conference or edition are welcome, it helps if a clear connection and added value is pointed out.

Contributions must be in PDF and submitted through TBD.

Submissions will undergo a single-blind review process.

All accepted papers will be published in the DSN supplemental volume and made available in IEEE Xplore. Accepted materials will be presented in dedicated sessions.

Industry Track Co-Chairs:

Matti Hiltunen, AT&T Labs, USA
Ganesh Pai, KBR/NASA Ames Research Center, USA
Antonio Pecchia, University of Sannio, Italy

Contact

For further information please send an email to industry_track@dsn.org

Program Committee

Rasmus Adler, Fraunhofer IESE, Germany
Magnus Albert, SICK AG - Global R&D, Germany
Nuno Antunes, Guardsquare, Germany
Subho Banerjee, Google, USA
Simon Burton, University of York, UK
Mauricio Castillo-Effen, Lockheed Martin Advanced Technology Labs, USA
Marta Catillo, University of Sannio, Italy
Marcello Cinque, Critiware, Italy
Valerio Formicola, CalPoly Pomona, USA
Yuxuan Jiang, Ericsson, Canada
Ramesh Kottapalli, IBM, USA
Jinyang Liu, ByteDance, USA
Jon Perez, Ikerlan, Spain
Shankaranararaynan Puzhavakath Narayanan, AT&T, USA
Jonas Nilsson, Nvidia, USA
Michael Paulitsch, Intel, Germany
Marco Platania, AT&T, USA
Mohan Rajagopalan, MACAW Security, USA
Behrooz Sangchoolie, RISE, Sweden
Joy Selasi Agbasi, Meta, USA
Nuno Silva, Critical Software, Portugal
Wilfried Steiner, TTTech, Austria
Liang Tang, GE Global Research, USA