Resilience, as an emerging research field, is strongly required as a core property of all kinds of critical systems. It describes the ability of a system to absorb shocks, recover promptly, adapt to maintain comparable functionality, and continuously improve by learning from such incidents. With the increasing complexity and heterogeneity of critical networks and systems, the scope of resilience is going beyond traditional fault tolerance and security paradigms and encompasses emerging requirements such as ultra-reliability, deterministic performance, trustworthiness, and privacy. This also necessitates advanced resilience measures, incorporating artificial intelligence (AI) and machine learning (ML) models, quantum security, real-time and distributed reconfiguration methods etc.
Accordingly, the KuVS Research School on Network and System Resilience aims to foster the next generation of resilience researchers through collaborative learning, skill development, and community building. We invite doctoral students working on resilient network and systems, whether just beginning on their studies or finishing their dissertation. We welcome all participants from diverse domains including wired and wireless communication, Internet of Things (IoT), cyber-physical systems, mobile edge computing, hardware/software design, distributed operating systems etc., as well as using different methodologies such as AI/ML approaches, theoratical modeling, simulation/emulation/prototyping and beyond.
The participants are expected to submit a short research statement and give a lightning talk to share their research topics. This helps other participants become familiar with your work and serves as a valuable reference for future collaboration.
Practical Information
- Dates: 30 September – 2 October 2026
- Location: Berlin, Germany (Venue TBA)
- Participants: PhD students
- Attendance: Free of charge
- Registration: Link TBA, deadline 30 June 2026
- Submission: Link TBA, deadline 15 July 2026
Program
The research school offers a rich, multi-faceted program:
- Lightning Talks: Each participant will deliver a 5+2 minute short presentation about their current research (summarized in the research statement) and ongoing challenges in their PhD journey. Guided group discussions will follow these talks to identify collaboration opportunities, and build meaningful connections with peers working on related topics.
- Keynote Talks: Leading experts will present their perspectives on diverse topics in resilience research and highlighting future directions.
- Mini-courses: Tutorial-style sessions on selected hot topics will provide in-depth exploration of promising research areas.
- Hackathon: A hands-on session where participants work together to build practical implementations, translating ideas into working prototypes.
- Social Activities: Informal gatherings and activities designed to strengthen community bonds in a relaxed atmosphere.
Speakers
The invited speakers and keynotes will be announced soon.
Mini-courses
The topics for mini-courses will be announced soon.
Submission and Registration
The participants are expected to submit a short research statement up to two pages (double-column, IEEE format). Rather than presenting novel results, these statements should describe your research topic and your planned or current approach. All research statements will be made publicly available alongside a final school report. The deadline for the submission is July 15, 2026.
- Submission link: TBA
The research school is free of charge. To be able to organize the research school accordingly, we expect the participants to register and declare their dietary choices and any other special needs in advance. The deadline for the registration is June 30, 2026.
- Registration link: TBA
Organizers
The research school is jointly organized by DFG SPP 2378 Resilient Worlds research program and GI’s Kommunikation und Verteilte Systeme (KuVS) special interest group. The main organizers are:
- Dr. Doğanalp Ergenç, TU Berlin
- TBA
For any questions and inquiries, please contact Dr. Doğanalp Ergenç.