CFP: Networking Solutions for Metaverse, Social Applications, Multimedia, and Games, within IEEE Consumer Communications & Networking Conference 9–12 January 2026 Las Vegas, USA

July 26th, 2025 Daniela Lopez de Luise
Call for Papers

Track 2 – Networking Solutions for Metaverse, Social Applications, Multimedia, and Games

Track Chairs:

Ombretta Gaggi, University of Padua, Italy (email: gaggi@math.unipd.it) 

Manuela Montangero, University of Modena and Reggio Emilia, Italy (email: manuela.montangero@unimore.it)

IEEE Consumer Communications & Networking Conference
9–12 January 2026  
Las Vegas, NV, USA

https://ccnc2026.ieee-ccnc.org/call-technical-papers

IMPORTANT DATES

Conference Dates: 9 January – 12 January 2026
Technical Papers due: August 1, 2025
Acceptance Notification: August 31, 2025

Summit at: https://edas.info/newPaper.php?c=33771&track=130953

SCOPE and MOTIVATION 
Social applications, multimedia, and games play a substantial role in shaping Internet traffic and have emerged as dominant mode of social interaction online. This recent trend has sparked significant research interests, both at the network level and in terms of application and service development. Moreover, with the advent of the metaverse, research focus within these domains has expanded to encompass virtual worlds, immersive experiences, and social interactions in virtual environments. Given their increasing prevalence and interdisciplinary nature, social applications, multimedia, and games have also garnered research attention across diverse fields, including big data analytics, cloud computing, artificial intelligence, data sensing, information security, and privacy protection. 

MAIN TOPIC OF INTEREST
The Networking solutions for social applications, multimedia, and games track seeks original contributions in the following areas, as well as others that are not explicitly listed but are closely related: 
 
– Artificial Intelligence for social applications, multimedia, and games.  
– Architectures, Platforms, and Protocols. 
– Business models for social applications, multimedia, and games.  
– Communication security for social applications, multimedia, and games.  
– Data Sensing.  
– Distributed games engines.  
– Ethical considerations in social applications, multimedia, and games.  
– Gamification and game-based learning in applications.  
– Human-Computer Interfaces and Human-Machine Interfaces.  
– Immersive storytelling and narrative techniques in multimedia and games.  
– Knowledge discovery for social applications, multimedia, and games.  
– Metaverse, virtual worlds, immersive experiences.  
– Naming and routing of media streams. 
– New paradigms of future communications networks. 
– Non-visual Interfaces for accessibility and/or Virtual Reality.  
– Novel applications for the social, multimedia, and games scenario.  
– Smart moving and smart objects.  
– Social computing and collective intelligence.  
– Social influence and persuasion in multimedia and games.  
– Social interactions in communication networks.  
– Recommender algorithms.  
– Rumor source localization in large-scale, real-world networking solutions. 
– User profiling and behavior analysis.  
– User engagement and retention strategies in social applications and games.  
– Virtual reality and augmented reality applications. 

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Curso de posgrado “Gestión y Formulación de Proyectos”

July 26th, 2025 Daniela Lopez de Luise
Estimados

Desde el Departamento de Ingeniería en Sistemas de Información y la Escuela de Posgrado, de la UTN FRCU los invitamos a participar del curso de posgrado “Gestión y Formulación de Proyectos”.


🧑‍🏫 Docentes: Dra. Patricia Cristaldo – Dr. Leandro Antonelli
                        Mg. Pablo Thomas – PMP MBA Joaquín Alem
📅 Fecha de inicio: 
22 de agosto en modalidad virtual  .
🕒 Carga Horaria: 60 hs.
🧑‍🎓 Objetivo: 

Se espera que al completar el curso los estudiantes tengan una visión completa de lo que involucra la aplicación de enfoques sistémicos a la gestión de proyectos de tecnología, con una fuerte comprensión de los beneficios derivados de la aplicación de metodologías y mejores prácticas en el liderazgo de proyectos para el desarrollo de software. 

 

Este curso otorga créditos para la carrera de posgrado “Especialización en Ingeniería en Sistemas de Información”.

 

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Por consultas e información:

📩Contacto por mail: cursosposgrado@frcu.utn.edu.ar
🏣  Personalmente de 9 a 12 y de 17 a 20 hs. en Oficina Nº7 de UTN FRCU
Cordialmente, 
Dra. Ing. Patricia Cristaldo

Directora de la Carrera de Ingeniería en Sistemas de Información
Universidad Tecnológica Nacional – Facultad Regional Concepción del Uruguay
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Seminarios Red Tepuy (ULA-IMDEA) 2025

July 24th, 2025 Daniela Lopez de Luise
Un miércoles cada 15 dias o cada semana de 11-12 hora de Venezuela (10 a 11 hora Colombia), se realizan los seminarios de trabajo de la Red Tepuy (http://tepuyrd.com/), conjuntamente con CEMISID-ULA, e IMDEA.
Los seminarios quedan grabados (igual que los seminarios anteriores) en el canal de YouTube:https://goo.gl/cpBu4r. El link para seguir el seminario en vivo de la semana que viene es https://meet.google.com/rni-jmge-wdr
Próximos Seminarios:
23/07/25 A Feature Selection Method based on LAMDA algorithms for Classification and Clustering Tasks, Carlos Quintero Gull 

30/07/25,  ArSGam: A Modular Architecture for Integrating Gamification into Serious Games,  Claudia Yamile Gómez


06/08/25, Modelos de Lenguaje de Gran Tamaño (LLM) aplicados en Sistemas de Supervisión Sostenibles,  Priscila Aguilar 


10/09, Estrategias basadas en la técnica de Datos Enlazados para la Generación de Conocimiento en Ambientes Inteligentes, Ricardo Dos Santos


Por definir fechas:

A Reference Framework for the Use of Generative AI in Higher Education, Jesus Perez, Alexandra Gonzalez, Eduard Puerto, Wilmer Pereira

Federated Learning for the Detection of Anomalies in Beef Cattle Fattening, Rodrigo Garcia y William Hoyos 

Sistema Autónomo de Gestión Energética en Procesos Eléctricos, Priscila Aguilar

Saludos
JOSE
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Conexión EXACTAS-UBA Becas Sadosky

July 24th, 2025 Daniela Lopez de Luise

+CONEXIÓN Exactas y Naturales

El espacio para vincularte con Exactas

Imagen Exactas

Un compromiso colectivo con la educación

En esta edición de +CONEXIÓN, queremos contarte sobre las Becas Sadosky, que desde hace más de 20 años acompañan a estudiantes de nuestra Facultad.
Podés sumar tu aporte para que cada vez más estudiantes puedan seguir estudiando.
💻 Doná ingresando acá

Al final del correo, también vas a encontrar todas las formas de vincularte con la FCEN y cómo contactarnos.

🎓 Becas Sadosky: más de 20 años construyendo oportunidades

¡Sumá tu aporte para que cada vez sean más!

¿Qué son las Becas Sadosky?
Son becas de ayuda económica y acompañamiento académico para estudiantes de grado de todas las carreras de Exactas.

  • 📌 Cada año se inscriben entre 300 y 400 estudiantes.
  • 📌 Se otorgan entre 35 y 45 becas anualmente.
  • 📌 Ya fueron beneficiados más de 200 estudiantes, de los cuales 88 se han graduado.

🎥 Conocé la historia de algunos/as de nuestros/as becarios/as Sadosky en este video:
👉 Ver video

💡 ¿Cómo se financian las becas?

Las Becas Sadosky se sostienen con recursos propios de la Facultad y donaciones de personas como vos.

Cada aporte mensual ayuda a sostener y ampliar las becas.

¿Cómo podés donar?

Entrando en:
Doná acá

Podés elegir entre:
Donación por única vez (tarjeta de débito o transferencia)
Donación mensual
Donación desde el exterior (única vez o mensual)

🔗 ¿Cómo podés vincularte con la FCEN?

En cada edición te mostramos distintas iniciativas para que conozcas formas de vinculación, encuentro y colaboración con Exactas.
Pero si ya te interesa conversar sobre alguno de estos temas, podés escribirnos ahora:

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2nd CFP: Special Issue on Knowledge Discovery from Graphs – Springer Data Mining and Knowledge Discovery (Q1)

July 22nd, 2025 Daniela Lopez de Luise
# Call for Papers #
Special Issue on Knowledge Discovery from Graphs
Springer Data Mining and Knowledge Discovery Journal

# Important Dates #
  • Submissions open: June 9, 2025
  • Submissions close: October 13, 2025
  • First-round review decisions: January 19, 2026
  • Deadline for revised submissions: April 13, 2026
  • Notification of final decisions: June 8, 2026

Submissions that are received before the first deadline will be directly sent out for review.

# Introduction #
The rapidly advancing research on Knowledge Discovery from Graphs (KDG) highlights the growing adoption of graph data structures. Representing information as nodes interconnected by diverse relationships enables the extraction of rich features and the inference of actionable insights. This special issue seeks to bring together research spanning various domains where the use of graph data drives advancements in data mining and knowledge discovery. As graphs continue to revolutionize numerous fields, this special issue aims to attract a broad and diverse group of stakeholders, including researchers, developers, and practitioners. By doing so, it also promotes cross-disciplinary and interdisciplinary dialogues, addressing the pervasive influence of KDG across a wide range of disciplines.
The primary objective of this special issue is to provide researchers with a dedicated platform to share their studies on graph data and graph-based technologies. This addresses the notable absence of a focused venue within the data mining and knowledge discovery community, despite the increasing attention these topics have received. The issue aims to foster a collaborative environment that advances research on leveraging graphs, not only as a powerful analytical tool but also as a means to showcase the unique benefits interconnected networks offer compared to other data structures.
This special issue of Springer Data Mining and Knowledge Discovery (DMKD) welcomes submissions that demonstrate the cutting-edge adoption of graph data and technologies in real-world applications, propose novel theoretical frameworks for knowledge extraction from graphs, and explore additional dimensions of graph-based algorithms, including responsible AI.
Submissions may include original research articles, case studies, and surveys that advance the state of the art in KDG.
# Topics #

We invite submissions on a range of topics:

Algorithm Design and Graph Representations

  • Novel algorithms for scalable graph mining and analysis.
  • Advances in graph embeddings and graph representation learning (e.g., GNNs).
  • Efficient processing of large-scale, heterogeneous, and dynamic graphs.
  • Integration of temporal and spatial information in graph models.
  • Graph kernels, summarization/coarsening, alignment.
  • Graph language, generative, and foundation models.

Evaluation and Benchmarks

  • New metrics and benchmarks for graph mining and learning methods.
  • Empirical evaluations of graph-based systems in real-world scenarios.
  • Analysis of robustness and reliability in graph-based decision systems.

Applications of Knowledge Discovery from Graphs

  • Real-world case studies in social media analysis (e.g., misinformation propagation), recommender systems, and computer vision.
  • Knowledge graph construction and its use in information retrieval and natural language processing (e.g., retrieval augmented generation with graphs).
  • Applications in financial security (e.g., fraud detection), cybersecurity (e.g., malware detection/propagation), and graph ML platforms (e.g., in-database machine learning).
  • Use of graph-based techniques in bioinformatics (e.g., drug discovery), transportation/mobility networks (e.g., traffic prediction), and climate science (e.g., global weather forecasting).

Beyond Accuracy in Knowledge Discovery from Graphs

  • Interpretable and explainable graph-based methodologies.
  • Robustness and adversarial attacks on graphs.
  • Responsible AI (e.g., fairness, bias) on graph neural networks.
  • Generalization of graph-based approaches on unseen nodes and graph structures.

Emerging Trends and Interdisciplinary Approaches

  • Fusion of graph learning with other machine learning paradigms (e.g., federated learning, reinforcement learning).
  • Use of knowledge discovery techniques in dynamic and evolving graphs.
  • Cross-disciplinary approaches combining KDG with fields like neuroscience, urban planning, and environmental science.

We welcome original research papers, case studies, and review articles that contribute to the body of knowledge in these areas.

# Guest Editors #


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