Querido/a colega, te invito en esta oportunidad a participar del encuentro Nueva etapa para los ferrocarriles de América Latina – La revalorización de los sistemas ferroviarios, a llevarse adelante el próximo miércoles 29 de octubre, de 10 a 17.30hs en la sede de la Asociación Latinoamericana de Ferrocarriles, ALAF, sita en Av. Belgrano 863, 1er piso.
Inscripción: https://forms.gle/fbn3myUpi4g8RVDq7
Se trata de un espacio de encuentro y reflexión sobre la revalorización de los sistemas ferroviarios y los nuevos desafíos que enfrenta el sector en la región, con la participación de referentes de distintas instituciones ferroviarias de América Latina y Europa, quienes compartirán experiencias y visiones sobre:
– Financiamiento ferroviario
– Modelos de gestión
– Inteligencia artificial
– Externalidades en el transporte terrestre
– Proyectos de infraestructura
Cabe destacar que uno de los disertantes del encuentro será nuestro Decano, Ing. Alejandro Martinez, quien se referirá a la actualidad de la FIUBA, su agenda de futuro y su vinculación con el sector, en particular habiéndose completado exitosamente la primera cohorte del curso de posgrado en Dirección empresarial ferroviaria, dirigido por el Ing. Nicolás Berardi, graduado FIUBA y parte del equipo de coordinación del Vector Ferroviario.
El evento es gratuito e incluye un desayuno de camaradería desde las 9.30hs y un almuerzo desde las 13hs. Por otra parte, quienes quieran seguirlo en forma virtual, deben también inscribirse y recibirán el enlace.
Te mando abrazo y que lo disfrutes,
Special Issue on “Advancing Visual Data Analytics for Disaster Management”.
October 15th, 2025 
Daniela Lopez de Luise
CALL FOR PAPERS
Special Issue on “Advancing Visual Data Analytics for Disaster Management”
IMAGE AND VISION COMPUTING
Visit the Website
From torrents of satellite imagery to drone video streams and citizen-generated footage, visual data now shapes how we forecast, respond to, and recover from catastrophes. This Special Issue of Image and Vision Computing journal seeks state-of-the-art research that converts these heterogeneous visual streams into trustworthy, real-time intelligence for natural- and human-made disaster management. We welcome breakthroughs in computer vision, machine learning, multimodal fusion, privacy-preserving analytics, explainability, high-performance/edge computing, and generative simulation. Join us in building a cross-disciplinary forum where novel algorithms meet operational challenges, advancing resilience and saving lives through smarter visual data analytics.
With the increasing frequency and severity of natural and man-made disasters, effective disaster management is a global priority. Visual data from any source play a vital role in disaster preparedness, response, and recovery. Efficient and accurate analysis of this visual data is crucial for understanding disaster scale and impact, while having significant implications for broader challenges in visual data analytics.
This Special Issue on “Advancing Visual Data Analytics for Disaster Management” seeks to present cutting-edge methodologies, emerging applications, and core challenges in deriving actionable insights from visual data in disaster contexts. Emphasis is placed on advanced computer vision, machine learning, and data science methods for processing visual data streams in real-time or near-real-time, supporting disaster prediction, detection, monitoring, and assessment.
The Special Issue offers a forum for discussing challenges in visual data analytics with a primary focus on disaster management. Potential applications include, not exhaustively, flood monitoring, wildfire tracking, earthquake damage assessment, and urban disaster response. The aim is to foster collaboration across disciplines – computer vision, machine learning, data science – and identify future research directions.
We welcome submissions on novel algorithms, methods, and systems for visual data analytics with direct relevance to disaster management or similarly critical real-world scenarios.
Topics of interest include, but are not limited to:
- Advanced deep learning models for understanding complex visual data in critical scenarios.
- Real-time analytics of visual data from UAVs, satellites, and social media for disaster response and similar applications.
- Visual data summarization and feature extraction for rapid disaster assessment.
- Human-centered visual recognition methods for disaster scenarios.
- Multimodal visual data analysis integrating sources like hyperspectral imaging, LIDAR, and thermal imaging.
- Generative models for visual data: simulation of disaster scenarios, in-painting, and handling incomplete data.
- Explainable and interpretable models to support decision-making in high-stakes environments.
- Privacy-preserving visual analytics using methods like differential privacy and federated learning.
- Scalable algorithms and architectures for large-scale visual data processing in disasters.
- High-performance and parallel computing approaches for visual data analytics.
- Domain-specific analytics for remote sensing, wildfire detection, flood mapping, earthquake damage, etc.
- Ethical considerations in visual analytics for disaster management.
Submission Guidelines:
The Journal's submission system (Editorial Manager) is open for submissions. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: Visual Data for DM” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors – Image and Vision Computing – ISSN 0262-8856 (elsevier.com).
Submissions must follow the IMAGE AND VISION COMPUTING journal’s formatting and submission requirements. All manuscripts will undergo rigorous peer review. Contributions must be original and unpublished, focusing on visual data analytics methods and their applications in disaster management.
Important Dates:
- Manuscript Submission Open Date: July 1st, 2025
- Manuscript Submission Deadline: October 31st, 2025
- Editorial Acceptance Deadline: February 28th, 2026
Guest Editors:
- Prof. Ioannis Pitas (Department of Informatics, Aristotle University of Thessaloniki, Greece)
- Prof. Jose Ramiro Martinez de Dios (Robotics, Vision and Control Group, University of Seville, Spain)
- Prof. Stefano Berretti (Media Integration and Communication Center, University of Florence, Italy)
- Dr. Ioannis Mademlis (Department of Informatics, Aristotle University of Thessaloniki, Greece)
We look forward to your contributions to this Special Issue on advancing visual data analytics for more effective disaster management and similar real-world applications.
Call for Workshop Proposals at ICSR + Art 2026
October 15th, 2025 Daniela Lopez de Luise 18th International Conference on Social Robotics (ICSR + Art 2026)
1–4 July 2026, London, UK
Call for Workshop Proposals
The International Conference on Social Robotics (ICSR) is the foremost global forum for researchers, academics, and industry professionals dedicated to the expansive field of social robotics. For its 18th edition, ICSR 2026 introduces the special theme ICSR + Art, exploring how robotics and the arts intersect. While this theme will receive special attention, the conference warmly welcomes contributions across the full breadth of social robotics research and applications.
Participants are invited to hold workshops on topics relevant to social robotics. We particularly welcome creative, innovative, and interactive workshop formats that focus on areas of active research to generate significant discussion and exchange of ideas between participants, as well as interactions between established experts and early-career researchers. We encourage state of the art programs with high level of interest, impact, creativity and innovation that will attract a broad and active audience. Also, workshops focusing on academia-industry partnership and technology transfer of robotics research are welcome, with the aim of making connections to fields outside of robotics and/or connect academia to industry.
The primary criteria for selection are anticipated level of interest, impact, novelty or creativity, and background of organisers. By default, the workshops, as the conference, are held in-person.
Topics of interest include (but are not limited to):
– Social Robotics & Human–Robot Interaction
– Creative Robotics
– Robotics, Arts & Culture (e.g., performance, visual arts, music, fashion)
– Trust, Personality, Emotion & Affective Computing in Robots
– Embodied Intelligence, Adaptation & Lifelong Autonomy
– AI, Learning, Explainability & Transparency
– Assistive Robotics, Human Augmentation, Rehabilitation & Welfare
– Medical Robotics, Healthcare Applications & Social Assistance
– Robotics in Education, Entertainment, Gaming & Immersive Media (VR/AR/XR)
– Design, UX & Human Factors
– Soft Robotics, Textile & Novel Materials
– Space, Underwater & Aerial Robots
– Environmental & Sustainable Robotics
– Robotics in Architecture & the Built Environment
– Swarm, Collective Robotics & Multi-Agent Systems
– Robotics for Agriculture, Food Systems & Supply Chains
– Disaster, Crisis & Rescue Robotics
– Robotics in the Humanities
– Ethics, Policy, Governance & Societal Impacts (e.g., privacy, bias, inclusion, socioeconomic issues)
– Novel and emerging concepts in social robotics and related fields
Submission Guidelines
The submission of the workshop contribution must be accompanied with the following information:
– Title
– Workshop duration: half or full day
– Organisers: name, email address, affiliation and a short bio of the members of your organising committee.
– Tentative workshop structure: lectures, interactive, pane discussions, etc.
– Workshop description and objectives: concise description of the content and objectives of the workshop.
– Intended audience and plans to solicit participation: describe the intended workshop audience, how you plan to solicit participation: (i) ahead of the workshop to generate submission and (ii) within the workshop in encouraging discussions and exchanges between participants.
– List of topics: a bulleted list of the topics of interest that will be covered by the workshop.
– List of invited speakers: list any invited speakers (if applicable)
– Additional information: Any relevant information that could not be captured by the previous sections (e.g. regarding previous workshop organisation)
– Room equipment requirements if any.
Submissions should be PDF documents of no more than 3 – 4 pages. They can follow the Springer LNCS/LNAI layout.
Workshop Proposal Deadline: 1 Dec 2025
Please send your proposals to the Workshop Committee Members, with the subject starting with [ICSR2026 Workshop Proposal].
All workshop proposals will be reviewed, and organisers will be informed of the decision within two weeks following the proposal deadline. Accepted workshops will be featured on the ICSR website.
More information & submission details: https://icsr2026.uk/
We look forward to welcoming you in London for an inspiring event that embraces both traditional social robotics research and innovative explorations at the intersection of technology and creativity.
Best regards,
The Organising Committee of ICSR 2026
Live free ‘AIDA AI Excellence e-Lecture’ by Dr. Anjali Diwan (IEEE DataPort Streeing Committee, Marwadi University): “The Double-Edged Sword: AI, Multimedia Forgery, and the Battle for Reality”, October 21, 2025 – 17:00 CET.
October 15th, 2025 Daniela Lopez de Luise Dr. Anjali Diwan (IEEE DataPort Streeing Committee, Marwadi University) will deliver the e – lecture: “The Double-Edged Sword: AI, Multimedia Forgery, and the Battle for Reality“:
📅 Date: 21 October 2025
🕒 Time: 17:00-18:00 CET
🌐 For more details, click here
The International AI Doctoral Academy (AIDA) is very pleased to offer you top quality scientific lectures in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics.
Lectures will be offered alternatingly by:
- Top highly cited senior AI scientists internationally or
- Young AI scientists with promise of excellence (AI sprint lectures)
These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, J. Stefanowski
AIDA AI Excellence Lecture Series committee members
Call for Papers — XRobot 2026: Workshop on XR in Robotics
October 14th, 2025 Daniela Lopez de Luise Workshop website: https://sites.google.com/view/xrobot2025/home
About the Workshop
XRobot 2026 aims to bring together researchers, engineers, and practitioners at the intersection of XR and robotics, exploring how virtual, augmented, and mixed reality technologies can enhance robot simulation, teleoperation, training, and human–robot collaboration. Topics include (but are not limited to):
- XR for robot learning and simulation
- Digital twins and virtual testing environments
- Immersive interfaces for robot teleoperation
- Human–robot interaction through XR
- Safety, reproducibility, and benchmarking in XR robotics
Publication and Proceedings
Accepted papers will be published in the IEEE Xplore Digital Library as part of the AIxVR 2026 proceedings.
Important Dates
- Paper submission deadline: November 17, 2025, AoE
- Notification of acceptance: November 28, 2025 AoE
- Camera-ready submission: Early December 2025
- Workshop date: January 26 – 28 at IEEE AIxVR 2026, Osaka
Submission Guidelines
Authors are invited to submit original contributions (up to 6 pages including references) following the IEEE conference format. Details on submission and formatting can be found on the workshop website:
https://sites.google.com/view/xrobot2025/call-for-papers
We warmly encourage members of the EU Robotics network to participate, submit papers, and share this call with colleagues working on XR-based robotics research and applications.
We look forward to your contributions and to seeing you at XRobot 2026 in Osaka!
Warm regards,
XRobot 2026 Organizing Committee
Associate Professor, Department of Computer Science and Engineering