Computational models of blood flow circulation from the heart to the brain for a better understanding, treatment optimisation and prevention of neurodegenerative diseases

A complex syntony: driving chimera states networks with external stochastic signals
A new framework for analysing the effect of the external environment on single-layer chimera state networks by driving the system with random external univariate and multivariate signals

Mitigating Harm in AI and Data-driven Applications
To strengthen the research activities for the Web Science and Social Computing (WSSC) research group on detecting and preventing bias, both in data and algorithms.

Music and Motion Sensing for Neurorehabilitation
To investigate novel music-based rehabilitation approaches in which patients control digital music instruments using motion capture sensors

Fostering Prosocial Behaviors in Children with Autism through Mixed Reality
Developing and evaluating a playful full-body interactive Mixed Reality system to promote prosocial behaviors in children with and without autism spectrum condition.

Learning Opportunities for Connected Autonomy in Livable Spaces
To develop algorithmic foundations that enable learning under requirements for connected autonomous agents.

Natural Language Processing for Sign Languages
Sign Language Resources, Recognition, Processing and Translation

Multiplayer eXtended Reality: Use-cases, Applications and Networking
To extend our current work on ‘single-player’ XR to the multiplayer case, by developing a new set of tools and applications and designing new communication network protocols and mechanisms to support their requirements, with particular focus on...

Freesound’s coming of age
To further consolidate the Freesound platform and its unique potential for research on occassion of its 20th anniversary.

Artificial and Natural Intelligence to Support Responsibility and Wellbeing in Educational Planning
To investigate the potential for AI and data analytics to support enhanced educational design and planning, mindful of the ethical and social implications, and in a way that promotes the wellbeing of individuals and societies/ the-planet.

Advanced visualization of craniofacial dysmorphology patterns
Interactive visual analytics and data visualization methods to explore the data and results generated in the project eSCANFace, where facial imaging is explored as a low-cost tool for genetic pre-screening in congenital anomalities at early stages......

Is cognitive inflexibility a predictor of misinformation sharing on social media?
The aim is to combine neuroscience and social research on ideological polarisation in the context of social media, address its causes and consequences, and the possibility to understand and modulate its cognitive mechanisms

Understanding Engagement, Polarization and Misinformation in AI-Based Recommendation Systems
To advance the understanding of the impact of ranking algorithms in our society, in particular how factors such as popularity, meaningful social interaction, and personalisation affect social issues such as engagement, polarization, and...

Visual Motifs Identification and Comparative Image Learning
To automatically learn and identify visual motifs (identifiable compositions and patterns that image-makers use to express things visually), enhancing the capacity of image analysis with the complex comparative models of iconography.

Forgetting how to see language
We will identify the key visual features and discover low-level patterns in the visual data that infants in the early months of life are able to capture and use to discriminate between different sign languages

Emergence of phonological biases in large language models
We will explore if phonological biases that are a hallmark of human language processing also emerge in current artificial intelligence large language models.

Quantum Machine Learning for Healthcare
This project, structured as a multi-disciplinary PhD thesis, will be focused on the design, development and application of novel methods for data analysis within the paradigm of quantum computation, in what is known as quantum machine learning (QML)

Visual signals in language technologies
The goal of this project is to push for a breakthrough in language technologies with respect to visual signals, with a special focus on Sign Languages (SLs).

Reward-free decision-making, planning and learning
In this project, 3 PIs will work together to establish a new theory of behavior in the absence of rewards.

AERIAL DRONES FOR WILDFIRE DETECTION AND SURVEILLANCE
Besides the Maria de Maeztu strategic research programme, this work is further supported by the UPF-Fractus Chair on Tech Transfer and 6G and by the National Science Foundation