Date : 2026-11-10 => 2026-11-13
Lieu : Ortigia–Syracuse, Italy
1st Workshop on Spatio-Temporal Intelligence for Network Computing and Applications
Co-located with IEEE NCA 2026 (Nov 10-13, 2026, Ortigia–Syracuse, Italy)
Website NCA: https://www.nca-ieee.org/2026/
Website STiNCA: https://gt-gast.irisa.fr/stinca-2026/
Workshop Description
The confluence of modern, complex network infrastructures and the proliferation of distributed sensing and data collection points within networked systems has created a rich yet challenging research landscape. Contemporary networked environments, encompassing massive Internet of Things (IoT) deployments, next-generation 5G and nascent 6G wireless systems, the decentralized architecture of the cloud-edge continuum, and sophisticated cyber-physical systems, are increasingly evolving into intelligent, data-driven systems. These environments are characterized by the constant generation of vast streams of data, which are inherently spatio-temporal, meaning each data point is associated with a specific location and time of origin. In this context, spatio-temporal information becomes a key enabler for understanding, predicting, and optimizing network behaviour, supporting more efficient, adaptive, and autonomous networked systems.
Efficiently operating and managing these networked environments in the presence of massive spatio-temporal data streams presents a multi-faceted set of challenges. Beyond data processing, the core challenge lies in understanding and optimizing network behaviour, where spatio-temporal data serves as a key signal for decision-making. These challenges span critical areas, including the design and optimization of network architectures, intelligent resource management, distributed processing strategies, and the integration of advanced machine learning techniques under strict communication, latency, reliability, and deployment constraints. In this context, spatio-temporal data and learning methods become key enablers for intelligent network management, supporting tasks such as traffic prediction, anomaly detection, adaptive routing, resource allocation, and orchestration across distributed edge and cloud infrastructures.
The STiNCA 2026 workshop is established as a premier, dedicated forum specifically designed to bring together leading researchers, innovative practitioners, and industry experts. The primary objective is to facilitate the presentation and intensive discussion of novel methods, innovative systems, and practical applications that sit precisely at this critical intersection of spatio-temporal data and advanced networking. The workshop further emphasizes the role of spatio-temporal intelligence in the design of adaptive, self-optimizing, and scalable networked systems, aligning closely with core challenges in network computing and applications.
Topics of Interest
Submissions are welcome on (but not limited to) the following topics:
– Machine Learning on dynamics graphs for Network intelligence (Foundation models, GNN, Topology Modelling, forecasting, …)
– Edge AI and real-time analytics for geo-distributed IoT data
– Privacy-preserving analytics and location privacy in spatio-temporal systems
– SDN/NFV orchestration of spatio-temporal pipelines
– Network slicing and QoS for location-aware applications
– Spatio-temporal resource management in 5G/6G
– Attack detection using vehicle trajectory patterns and mobility traces
– Anomaly detection using spatio-temporal graph learning in mobile traffic and vehicle networks
– Secure cooperative perception in autonomous driving systems
Important Dates
Full paper submission: July 24, 2026
Notification: September 11, 2026
Camera-ready: October 26, 2026
Submission Instructions
Authors are invited to submit original research works (not published or under review elsewhere). Papers should be limited to 6 pages, with the possibility of one additional page at extra cost.
Submissions must follow the IEEE conference proceedings format. Papers must be submitted electronically in PDF format via EDAS (the system is being finalized). At least one author of each accepted paper must register for NCA 2026 and present the work at the workshop.
Accepted workshop papers will be submitted for inclusion in the IEEE Xplore Digital Library, as part of the NCA 2026 proceedings, subject to IEEE’s publication requirements.
Review Process
Submissions will be reviewed under a single-blind peer review process. Each submitted paper will receive at least 3 peer reviews, evaluated on originality, technical soundness, significance of contributions, relevance to the workshop topics, and clarity of presentation.
Workshop Organizers
Assaad Zeghina, LATMOS (UVSQ / Sorbonne University) / INRIA (Paris), France
Adja Elloh, LRE, EPITA, France
Aurélie Leborgne, ICube, University of Strasbourg (UNISTRA), France
Badis Hammi, Institut Polytechnique de Paris, Télécom SudParis, France
Clément Iphar, CRC / Mines Paris – PSL (Sophia Antipolis), France
Juba Agoun, ERIC Research Unit, University of Lyon 2, France
Loïc Salmon, ISEA, University of New Caledonia, New Caledonia.
Nazha Selmaoui-Folcher, ISEA, University of New Caledonia, New Caledonia.
Nida Meddouri, LRE, EPITA, France.
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
Pour vous désabonner de la liste, suivre ce lien.