Call for Papers] Invitación a presentar artículos en IEEE ARGENCON 2026 – Track Inteligencia Computacional

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Estimados colegas, investigadores, científicos, docentes y estudiantes:

En nombre del Comité Científico y del Capítulo Argentino de la Sociedad de Inteligencia Computacional, tenemos el agrado de invitarlos a participar en el VIII IEEE Congreso Bienal ARGENCON 2026, el evento técnico de mayor relevancia de la Sección Argentina del IEEE. Esta edición es organizada por la Facultad de Ciencias Exactas, Físicas y Naturales de la Universidad Nacional de Córdoba (UNC) y se llevará a cabo en la Ciudad de Córdoba los días 11, 12 y 13 de noviembre de 2026.

Bajo el lema “Potenciando el Futuro Sostenible: diseñar tecnologías de impacto global con valores y ética”, ARGENCON 2026 busca ser un espacio de intercambio para los últimos avances en investigación y desarrollo tecnológico.


Tópicos de interés (incluyen, pero no se limitan a):

  • Redes Neuronales y Deep Learning.

  • Lógica Difusa y Sistemas Difusos.

  • Computación Evolutiva y Metaheurísticas.

  • Sistemas Híbridos Inteligentes.

  • Aprendizaje por Refuerzo.

  • Aplicaciones en Robótica.

  • Inteligencia Computacional aplicada a dominios como Salud, Energía y Medio Ambiente.

Otros ejes temáticos son Aplicaciones Industriales y Electrónica de Potencia; Automatización, Control y Robótica; Instrumentación y Mediciones; Bioingeniería; Ciberseguridad y Ciberdefensa; Sistemas de Cómputo y Supercomputación; Tecnologías Vehiculares; Videojuegos y Gamificación; entre otros.

Publicación de Trabajos

Para enviar los trabajos se utilizará la plataforma Microsoft CMT. Este es el link para ingresar, específico del evento: https://cmt3.research.microsoft.com/ARGENCON2026/Submission/Manage 

Los trabajos aceptados y presentados serán publicados en los proceedings del congreso.

Adicionalmente, y como en ediciones anteriores, a solicitud de los autores estos artículos podrán ser enviados para su publicación e indexación en la biblioteca digital IEEE Xplore. Si fuera este último caso, se deberán presentar en inglés en el formato indicado en la página web del evento.


Información y Contacto

Para conocer las pautas de envío de artículos, fechas importantes y detalles del evento, por favor visite el sitio oficial:


IMPORTANTE: la detección de mal uso de Inteligencia Artificial Generativa (por caso, referenciación de fuentes inexistentes o alucinadas) será causal de rechazo automático e inapelable del manuscrito.

Agradecemos de antemano la difusión de esta convocatoria entre sus pares y equipos de investigación.

Atentamente,

Dr. Ing. Carlos Casanova Pietroboni – Ing. Esteban Schab

Chair y Co-chair del Track Inteligencia computacional – VIII IEEE ARGENCON 2026

WER 2026

Estimados,
Les paso información sobre el congreso WER – 29 Workshop en Ingeniería de Requisitos, que este año se va a realizar en conjunto con las JAIIO en la UTN de La Plata.

Track de trabajos Doctorales y de Maestría (WER-MDT): https://organizacaower.github.io/WER2026/es/track-masters-doctoral.html

Track de Estudiantes (WER-ST): https://organizacaower.github.io/WER2026/es/track-students.html

Saludos cordiales,

Carolina Soleil

CAETI – Facultad de Tecnología Informática

Universidad Abierta Interamericana

Av. Montes de Oca 745 (C1270AAH)

Ciudad Autónoma de Buenos Aires

Tel. 4301-5323 / 4301-5240

 

 

ACM TOMM, Special Issue on “Towards Responsible and Explainable Multi-Modal Fusion”

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*** Call for Papers – ACM Transactions on Multimedia Computing, Communications, and Applications ***

Special Issue on Towards Responsible and Explainable Multi-Modal Fusion

PAPER SUBMISSION DEADLINE: August 31, 2026

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OVERVIEW

Multi-modal fusion, defined as the integration of heterogeneous data sources such as text, images, audio, sensor streams, and structured records, has become a cornerstone of modern artificial intelligence with applications across healthcare, autonomous systems, social computing, and multimedia analysis. By combining complementary information from different modalities, fusion techniques enhance contextual understanding, robustness, and predictive performance. As these systems grow in complexity and are increasingly adopted in high-stakes scenarios, it becomes essential to embed responsibility, transparency, and fairness as intrinsic requirements in both design and evaluation.
 
This Special Issue aims to consolidate emerging contributions that embed explainability, interpretability, and ethical principles directly into the architecture, training, and evaluation of multi-modal systems. We particularly encourage submissions addressing high-impact domains such as healthcare, autonomous systems, and social computing, where trustworthy AI is critical.

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SPECIAL ISSUE TOPICS

Topics include but are not limited to:

  •  Responsible and explainable multi-modal fusion architectures and evaluation protocols 
  • Integration and alignment of foundation models and multi-modal large language models for interpretable decision-making. 
  • Generative and synthetic data for responsible and robust multi-modal fusion. 
  • Bias detection and mitigation, fairness assessment, and accountability in multi-modal systems. 
  • Transfer learning and domain adaptation for adaptive and trustworthy multi-modal fusion. 
  • Adversarial robustness and security in cross-modal environments. 
  • Continual and lifelong learning in evolving multi-modal settings. 
  • Federated, edge, and privacy-preserving multi-modal learning frameworks.  
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IMPORTANT DATES

  • Submission deadline: August 31, 2026
  • First-round review decisions: October 31, 2026
  • Deadline for revised submissions: December 15, 2026
  • Notification of final decisions: February 15, 2027
  • Tentative publication: April 2027
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GUEST EDITORS

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SUBMISSION AND REVIEW DETAILS

Prospective authors are invited to submit their manuscripts electronically in accordance with the ACM TOMM author guidelines (https://tomm.acm.org/authors.cfm). Manuscripts that do not comply with these guidelines will not be considered. Submissions must fall within the scope of ACM TOMM.

Please submit your papers through the online system (https://mc.manuscriptcentral.com/tomm) and ensure that you select the appropriate Special Issue during submission. Manuscripts must not be previously published or under review elsewhere.

For questions or further information, please contact:
Lucia Cascone (lcascone@unisa.it)

Cyber Worlds 2026 Conference Track on AI & Machine Learning

 

We are excited to invite you to submit your papers for the upcoming Cyber Worlds 2026 conference track dedicated to AI and Machine Learning, which will take place on 15-17 December 2026 at the University of Bradford, West Yorkshire, UK. This track aims to bring together young and experienced researchers and scholars in the field to share innovative research, discuss new ideas, and explore applications in various domains.

 

We welcome submissions that cover a diverse range of topics, including but not limited to:

 

  • Learning Algorithms for Cyberworlds: Supervised, unsupervised, and reinforcement learning; Deep neural networks; Self-supervised and foundation models; Online and continual learning for dynamic virtual environments, etc.
  • Multimodal AI and Perception: Learning from vision, audio, text, motion, and haptics; Multimodal fusion and representation learning; Cross-modal generation and understanding; Embodied and perceptual AI in cyberworlds, etc.
  • Intelligent Agents and Digital Humans: AI-driven avatars and agents; Behaviour modelling and simulation; Social and emotional intelligence; Autonomous decision-making in shared virtual worlds, etc.
  • Trustworthy and Human-Centered AI: Explainable and interpretable AI; Ethical and responsible AI; Bias mitigation and fairness; Privacy-aware and secure AI systems in cyberspace, etc.

 

Please submit your papers by 12 June via our online submission system. All papers will undergo a peer-review process and like in past Cyberworlds conferences, the conference proceedings with all accepted papers will be published by IEEE Computer Society Conference Publishing Services (CPS). Besides, the extended version of the best full papers will be considered for publication in special issues of journals.

 

For more information on submission guidelines and important dates, please visit our conference website at https://cw26.techconference.ac/call-for-papers.

 

We look forward to your contributions and to an engaging conference!

 

Best regards,

 

Dr Zied M’Nasri

Senior lecturer

School of Computing & Engineering

University of Bradford, UK

Email- z.mnasri@bradford.ac.uk

Tel +44 1274 232353

Cyber Worlds 2026 Organising Committee

AI & Machine Learning Track Chair

 

 

Call for Papers – Topical Collection on Smart Waste Monitoring and Environmental Surveillance

 
We are pleased to share the Call for Papers for the Topical Collection:
 
“Emerging Trends in Smart Waste Monitoring and Environmental Surveillance”
 
 
The growing global concern around waste management, illegal dumping, and environmental pollution highlights the urgent need for intelligent monitoring solutions. Advances in computer vision, driven by the remarkable progress of artificial intelligence technologies, offer promising opportunities to address these challenges. At the same time, the scientific literature in this field highlights several important research gaps, including:
 
🔹 The lack of robust detection methods for diverse environments;
🔹 Limited datasets and benchmarks;
🔹 The need for solutions that can be deployed in real systems with limited computational resources.
 
The Topical Collection on “Emerging Trends in Smart Waste Monitoring and Environmental Surveillance” aims to provide a dedicated forum for researchers and companies to present and discuss novel contributions in this emerging field. The collection seeks to advance the SOTA in smart waste monitoring, illegal dumping detection, and environmental pollution surveillance, while fostering interdisciplinary collaboration. We invite original research contributions in, but not limited to, the following areas:
 
📷 Image Analysis for waste detection and classification;
🎥 Video Analysis for waste tracking and management;
♻️ Computer Vision methods for detecting illegal waste disposal;
🧠 Multimodal Systems for dumping identification;
🚁 Remote Sensing and UAV-based waste monitoring;
🌍 Video and Image analytics for pollution tracking;
📊 Datasets and Benchmarks for waste and pollution monitoring;
🏙️ Applications and Case Studies, including real-world deployments in urban and rural contexts.
 
Guest Editors
🔹 Prof. Antonio Greco, University of Salerno, Italy — [agreco@unisa.it]
🔹 Prof. Carlo Sansone, University of Naples Federico II, Italy — [carlo.sansone@unina.it]
🔹 Dr. Bruno Vento, University of Naples Federico II, Italy — [bruno.vento@unina.it]
 
📅 Manuscript submission deadline: 30 June 2026.
 
Submission Guidelines
Paper submissions for the collection should strictly follow the submission format and guidelines. Manuscripts must be submitted via the “Submit manuscript” button on the journal homepage. During the submission step “Additional Information”, authors should select: “TC: Emerging Trends in Smart Waste Monitoring and Environmental Surveillance”.
 
Author Resources
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. Springer also provides a wide range of useful information for publishing in a Springer journal through its Journal Author Resources page, including FAQs, tutorials, and Help and Support.
 
We would be grateful if you could share this Call for Papers with colleagues, research groups, and industrial partners who may be interested.
 
Kind regards,
The Guest Editors
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