1er Congreso de Energías Renovables y Electromovilidad _ 13 al 15 de octubre

Querido/a colega, la semana próxima se llevará adelante el ‘1er Congreso de Energías Renovables y Electromovilidad’, organizado por el Consejo Profesional de Ingeniería Mecánica y Electricista, COPIME, con el apoyo de nuestra Facultad, del Consejo Profesional de Ingeniería de Telecomunicaciones, Electrónica y Computación, COPITEC, y del Consejo Profesional de Ingeniería Naval, CPIN.

La FIUBA será sede del evento de apertura del Congreso el próximo martes 13 de octubre en Paseo Colón, con recepción desde las 18hs y disertaciones de 18.30 a 20hs, contando con la participación del Ing. Alejandro Martinez, Decano de nuestra Facultad, del Ing. Rodolfo Fausti, Presidente del COPIME, y del Ing. Pablo Bereciartúa, Ministro de Movilidad e Infraestructura en el GCABA y presidente del Centro Argentino de Ingenieros, CAI. En particular, el Ing. Bereciartúa se referirá a los avances de la movilidad sustentable en la Ciudad, con referencia especial al sistema Trambus, así como a la proyectada Línea F de Subterráneos.

Asimismo, el Congreso continuará con actividades en la sede del COPIME -Del Carmen 776- el miércoles 14 de octubre de 8 a 18hs, y el jueves 15 de octubre, de 8 a 13hs.

Inscripción: acceso

Cronograma completo: acceso

Libro de resúmenes: acceso

Te mando un abrazo y que lo disfrutes, hasta pronto,

13ª Conferencia Ibero-Americana Computación Aplicada (CIACA 2026): 16 – 17 Diciembre 2026, Virtual. Plazo Límite de Envío (Última Llamada): hasta 2 Noviembre 2026

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13ª Conferencia Ibero-Americana Computación Aplicada
(CIACA 2026)
16 – 17 Diciembre 2026, Virtual

http://www.ciaca-conf.org/es


Pedimos disculpas por los envíos cruzados. Favor de enviar a colegas y estudiantes interesados


 

* CIACA 2026
La Conferencia Ibero-Americana de Computación Aplicada 2026 (CIACA 2026) busca atacar los temas centrales de interés en el área de ciencias de la computación y temas relacionados. Esta conferencia tiene como objetivo cubrir principalmente los aspectos técnicos. Para obtener más información relacionada con los temas de interés, por favor visite https://www.ciaca-conf.org/es/temas-conferencia/
 

* Submisiones de Artículos
Los autores están invitados a presentar sus trabajos en portugués o español a través del el sistema de envío electrónica de la conferencia hasta 2 Noviembre 2026.
Los trabajos deben ser originales.

* Fechas Importantes:
 – Plazo Limite de Envío (Última Llamada): 2 Noviembre 2026
 – Notificación a los Autores (Última Llamada): 20 Noviembre 2026
 – Envío de Versiones Finales y Registro Temprano (Última Llamada): hasta el 30 Noviembre 2026
 – Conferencia: 16 – 17 Diciembre 2026
 

* Publicación de artículos
La conferencia incluirá disertaciones invitadas y presentaciones orales. Las actas de la conferencia se publicarán en versión electrónica con ISBN.

* Conference Contact:
E-mail: secretariat@ciaca-conf.org
Web site: http://www.ciaca-conf.org/es
 


 

Organizado  por: International Association for Development of the Information Society

   

Call for Papers and AI Challenge: MAVU Workshop at WACV 2027

We are pleased to invite paper submissions and challenge participation for the Multi-Faceted Analysis for Video Understanding (MAVU) Workshop at WACV 2027.
MAVU will bring together researchers working on video understanding across aerial/drone, surveillance, and egocentric perspectives. Topics include long-video understanding and reasoning, video question answering, multimodal reasoning, video retrieval and forensic search, drone and aerial video analysis, surveillance video understanding, human action recognition and crowd analysis, egocentric vision, aerial perception, and efficient video models for UAVs and edge devices.
WORKSHOP INFORMATION
Date: January 4 or 5, 2027 (full-day workshop)
Location: WACV 2027, Disney Springs, Buena Vista, Florida, USA
Paper submission deadline: October 20, 2026, 11:59 p.m. PST
Decision notification: October 30, 2026
Camera-ready submission deadline: November 20, 2026, 11:59 p.m. PST
We welcome short papers of up to 4 pages, including references, and full papers of up to 8 pages, excluding references. Submissions should follow the WACV main conference format. Accepted full papers will be included in the WACV proceedings.
Please note that all authors must have an OpenReview profile. 
AI CHALLENGE: VIDEO QUESTION ANSWERING ON DRONE VIDEOS
The MAVU Workshop will also host an AI challenge on Video Question Answering for drone videos. The challenge is designed to benchmark advances in video understanding, spatiotemporal reasoning, and remote sensing.
Given a drone video and a natural-language, multiple-choice question, participants must predict the correct answer. The questions require models to understand objects, scenes, events, spatial relationships, and temporal changes across video frames.
Challenge highlights:
  • 4,000 question-answer pairs from 1,014 drone videos
  • Videos collected across 18 cities worldwide
  • Average video length of approximately 15 seconds
  • BIMBA as the baseline model
  • Overall multiple-choice accuracy as the primary evaluation metric
  • Additional accuracy reporting for individual reasoning tasks
Top-performing teams will be recognized during the MAVU Workshop. Selected teams will also be invited to present their solutions and findings at WACV 2027.
We warmly invite researchers, students, and practitioners to submit their work, participate in the challenge, and join us at WACV 2027.
WORKSHOP ORGANIZERS
Mooi Choo Chuah, Full Professor, Lehigh University
Chen Chen, Associate Professor, University of Central Florida
Shuai Zhang, Senior Staff Engineer, Qualcomm
Ning Bi, VP of Engineering, Qualcomm
Fatih Porikli, VP, Technology, Qualcomm
For questions, please contact:
mavu-wacv27-organizers@googlegroups.com
Best regards,
The MAVU 2027 Organizing Committee
_________________________________________________________
Dr. Chen Chen, Associate Professor
UCF SPRK 226 (Get Direction)| University of Central Florida 

Special Issue “Application of Deep Learning in Medical Image Classification and Segmentation for Precise Disease Diagnosis”

The Editor-in-Chief of the open access journal Bioengineering (ISSN: 2306-5354, IF 4.4), Prof. Dr.
Anthony Guiseppi-Elie, is pleased to announce a new Special Issue entitled "Application of Deep
Learning in Medical Image Classification and Segmentation for Precise Disease Diagnosis". As
Guest Editors for this Special Issue and on behalf of the Editor-in-Chief, we cordially invite you to
submit a manuscript for consideration and possible publication in this Special Issue. The
submission deadline is “31 December 2026”, and papers may be submitted immediately or at any
point until “31 December 2026”, as papers will be published on an ongoing basis. For more special
issue details can be found at:
https://www.mdpi.com/journal/bioengineering/special_issues/1H5H96F9TN
The aim of this Special Issue is to present original research and critical reviews on state-of-the-art
deep learning methodologies for medical image classification and segmentation, with the purpose of
offering actionable guidelines for integrating AI into clinical workflows. This Special Issue focuses on
technical and practical issues in diagnostic imaging related to multimodal data fusion and limited
supervision, aiming to advance this critical medico-engineering field, with a particular emphasis on
topics which tackle inter-patient variability and real-world data heterogeneity.
The article processing charges for the special issue can be found at :
https://www.mdpi.com/journal/bioengineering/apc. We hope that you have some resources within
your institutions to help support this publication.
You may share this invitation with your team members, colleagues, and co-authors. If you are
interested in this paper invitation, please do not hesitate to contact me and the Special Issue Editor,
Ms. Kylee Li, at kylee.li@mdpi.com.
Thank you for your consideration. We look forward to hearing from you soon.
Dr. Nadia Brancati
Guest Editor

AINIME@WACV27 Anime Restoration Challenge

We are happy to announce the start of the AINIME Anime Restoration Challenge @ WACV 2027, the flagship challenge of the AINIME workshop (AI for Animation), held at WACV 2027 (January 4–5, 2027).
Workshop and Challenge page: https://mv-lab.github.io/ainime/
Enhance the perceptual quality of anime video clips from Re-Anime600, a curated benchmark of 600 clips with high native quality, while preserving the content, style and temporal consistency of the original animation. The data is split into 350 train clips (public after signing the data agreement), 100 validation clips and 150 test clips (hidden).
– Train data: https://huggingface.co/datasets/ainime-challenge/re-anime600-train. Access requires signing the AINIME Challenge Data Agreement.
Important dates
– Oct 2, 2026: challenge opens, train data available
– Oct 2 – Oct 20: validation phase
– Oct 20 (AoE): deadline for challenge paper submission 
– Oct 21 – Oct 25: test phase
– Oct 28: results announced
Prizes
Special issue publication: Top teams will be invited to publish their work in a special issue of (Q1 Computer Science). Invited papers will go through the regular peer-review process of the journal.
Workshop registration: the participation fee for the AINIME workshop at WACV 2027 will be covered for one representative per winning team.
Challenge report and papers
Participating teams are invited to describe their method in a paper: regular papers, 5–8 pages (excluding references), double-blind review via OpenReview. The track is archival: accepted papers appear in the WACV 2027 workshop proceedings and in IEEE Xplore. The paper deadline is Oct 20 (AoE).
Organizers
Marcos V. Conde, Georgia Fargetta, Zhihao Cui,
Jeonghun Baek, Rosario Licciardello, Jin Yeying (Tencent), Julian Tanke (Sony AI).
Contact
We look forward to your participation, and please feel free to forward this call to anyone who might be interested.
Best regards,
The AINIME Challenge Organizers

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