Querido/a colega, te acerco en esta oportunidad el concurso internacional «WinDesign», organizado por la empresa ENEL, enfocado en el diseño de aerogeneradores, con importantes premios. A continuación la información.
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El concurso ofrece la oportunidad de proponer soluciones para la ideación, el diseño y la realización de aerogeneradores de tres palas con un diseño innovador, conforme a las normativas técnicas del sector y con el menor impacto paisajístico posible.
Podrán participar estudiantes universitarios, estudiantes de doctorado, arquitectos, ingenieros, diseñadores, institutos de investigación, universidades, empresas y start-ups.
Los proyectos serán evaluados según los siguientes criterios: diseño, viabilidad técnica y financiera, e innovación y sostenibilidad, y los ganadores recibirán premios por valor de: 250.000 € (primer puesto); 150.000 € (segundo puesto); 50.000 € (tercer puesto). Además, por cada criterio de evaluación hay premios especiales, no acumulativos, de 15.000 €.
El 15 de mayo se realizará un workshop sobre este desafío, y la fecha límite de inscripción al concurso es el 16 de junio.
Invitación al conversatorio El papel de la mujer en la ciencia, la tecnología y la sociedad digital
April 24th, 2025
Daniela Lopez de Luise Te invitamos a participar en este espacio de reflexión y diálogo sobre el impacto y los desafíos de las mujeres en la ciencia y la tecnología.
Fecha: 24 de abril de 2025
Hora: 18:00 (hora Colombia)
Modalidad: Virtual
Organizado por Entropía Educativa – Centro de Investigación.
Para más información, contáctanos en director@entropiaeducativa.com.
CBMI 2025: Special Session on Understanding Human Behaviour, Emotions and their Reasons
April 22nd, 2025
Daniela Lopez de Luise UHBER: Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons
This special session addresses the processing of all types of data related to understanding of human behaviour, emotion, and their reasons, such as current or past context. Understanding human behaviour and context may be beneficial for many services both online and in physical spaces, e.g., for workplaces, travel and leisure activities, for health support etc.
In the context of multimedia retrieval, understanding human behaviour and emotions could help not only for multimedia indexing, but also to derive implicit (i.e., other than intentionally reported) human feedback regarding multimedia news, videos, advertisements, navigators, hotels, shopping items etc. and to improve multimedia retrieval. For example, probably a movie recommender system should not put tragic movie on top of recommended movies when a user is tired and stressed.
Humans are good at understanding other humans, their emotions and reasons, and learning their tastes, skills and personality traits. Hence the interest of this session is, how to improve AI understanding of the same aspects? The topics include (but are not limited to) the following:
- Use of various sensors for monitoring and understanding human behaviour, emotion / mental state / cognition, and context: video, audio, infrared, wearables, virtual (e.g., mobile device usage, computer usage) sensors etc.
- Methods for information fusion, including information from various heterogeneous sources.
- Methods to learn human traits and preferences from long term observations.
- Methods to detect human implicit feedback from past and current observations.
- Methods to assess task performance: skills, emotions, confusion, engagement in the task and/or context.
- Methods to detect potential security and safety threats and risks.
- Methods to adapt behavioural and emotional models to different end users and contexts without collecting a lot of labels from each user and/or for each context: transfer learning, semi-supervised learning, anomaly detection, one-shot learning etc.
- How to collect data for training AI methods from various sources, e.g., internet, open data, field pilots etc.
- Use of behavioural or emotional data to model humans and adapt services either online or in physical spaces.
- Ethics and privacy issues in modelling human emotions, behaviour, context and reasons.
The conference proceedings will be published by IEEE. All submitted papers must conform to the IEEE manuscript templates for conference proceedings and the instructions it provides.
Special session submissions can be up to 6 pages + references in IEEE format. The review process is single-blind, i.e. submissions do not need to be anonymized. Please consider the submission guidelines on the conference website: https://www.cbmi2025.org
Submit your paper at https://www.conftool.pro/cbmi2025
And please remember to choose UHBER in the submission tool.
Submission Deadline: 23 Apr 2025 (AoE), will be probably extended.
Notification: 1 Jul 2025 (AoE)
Camera-ready & Registration: 1 Aug 2025 (AoE)
Conference: October 22-24 Dublin, Ireland





