Workshop on Resilience in Next Generation Network Management (NGResNet)

The workshop on resilience in next-generation network management (NGResNet) invites high-quality papers that address the urgent need for resilient next-generation networks. NGResNet seeks to address these challenges by gathering experts from academia and industry to discuss innovative approaches for enhancing network resilience. The workshop will cover topics ranging from machine learning-driven resilience mechanisms and predictive network management to adaptive resource allocation and edge-cloud collaboration for robust NGN operations. 

Important Dates

Submission Deadline: January 19, 2026                                            Submission Link: https://jems3.sbc.org.br/events/470

Notification of Acceptance: March 2, 2026

Camera Ready: March 16, 2026

Scope of the Workshop

The NGResNet workshop focuses on advancing resilience strategies in Next-Generation Networks (NGNs), including 5G, 6G, and beyond. As the deployment of NGNs accelerates, they increasingly support critical applications such as autonomous vehicles, tele-robotics, and industrial automation, which demand ultra-reliable, low-latency performance. However, these networks face unprecedented challenges, including traffic bursts, hardware/software failures, and security threats, all of which can disrupt essential services. NGResNet seeks to address these challenges by gathering experts from academia and industry to discuss innovative approaches for enhancing network resilience. Topics will range from machine learning-driven resilience mechanisms and predictive network management to adaptive resource allocation and edge-cloud collaboration for robust NGN operations. By promoting research and development in these areas, NGResNet aims to contribute to the design of more resilient, adaptable networks capable of sustaining high performance under diverse, often unpredictable conditions.

Topics of Interest

• Machine learning and AI-driven resilience for NGNs

• Proactive and predictive network resilience models

• Dynamic resource allocation and traffic management in response to network disruptions

• Security and privacy enhancements for resilient NGNs

• Edge and cloud network orchestration for robustness

• Adaptive network protocols for handling high variability and disruptions

• Reliable network slicing and resource management

• Resilience metrics and evaluation frameworks

• Distributed, decentralized, and self-healing architectures for NGNs

• Resilience for low-latency industrial applications

• Interference and congestion management in dense network deployments

• Testbeds and experimental frameworks for evaluating resilient NGNs

Submission Instructions

Papers must be formatted in the standard IEEE two-column format that is used by the IEEE/IFIP NOMS 2026 main conference and must not exceed six pages in length (including references). All submitted papers will go through a peer review process, and all accepted papers, which are presented by one of the authors at the workshop, will be published in the IEEE/IFIP NOMS 2026 proceedings and will appear on IEEE Xplore. 

Organizing Team

Steering Committee

Raouf Boutaba (University of Waterloo, ON Canada) 

Ekram Hossain (University of Manitoba, MB Canada)

Ahmed Eltawil (King Abdullah University of Science & Technology, Saudi Arabia)

General Co-Chairs: 

Junaid Farooq (University of Michigan-Dearborn, MI USA)

Juntao Chen (Fordahm University, NY USA)

Tao Li (City University of Hong Kong, Hong Kong)

Quanyan Zhu (New York University, NY USA)

Technical Program Co-Chairs: 

Hongxin Hu (University of Buffalo, NY USA)

Ehab Al-Shaer (Carnegie Mellon University, USA)

Kemal Akkaya (Virginia Commonwealth University, USA)