Professor Raul Santos-Rodriguez
MSc (Carlos III), PhD (Carlos III)
Current positions
Academic Co Director (Engineering) for BDFI
Engineering Faculty OfficeProfessor of Data Science and Intelligent Systems
School of Engineering Mathematics and Technology
Contact
Press and media
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Research interests
My research interests lie in data science, machine learning, artificial intelligence and their applications to signal processing, particularly healthcare, remote sensing and music information retrieval.
Projects and supervisions
Research projects
Transforming the Objective Real-world measUrement of Symptoms (TORUS)
Principal Investigator
Role
Co-Investigator
Managing organisational unit
Department of Electrical & Electronic EngineeringDates
01/10/2023 to 30/09/2028
Self-Learning Digital Twins for Sustainable Land Management
Principal Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/05/2023 to 31/03/2025
8032 EPSRC Turing AI Fellowship: Interactive Annotations in AI EP/V024817/1 additional funding
Principal Investigator
Managing organisational unit
Department of Engineering MathematicsDates
01/10/2021 to 31/03/2022
8032 EPSRC Turing AI Fellowship: Interactive Annotations in AI EP/V024817/1
Principal Investigator
Managing organisational unit
Department of Engineering MathematicsDates
01/01/2021 to 31/12/2025
Thesis supervisions
Through the AI of the Storm
Supervisors
Towards Cooperative MARL in Industrial Domains
Supervisors
Human sensing indoors in RF utilising unlabeled sensor streams
Supervisors
Towards Safe and Robust Reinforcement Learning
Supervisors
Uncertainty aware classification
Supervisors
Robust and Efficient Residential Indoor Localisation for Healthcare
Supervisors
On the Connection Between the Human Visual System and Machine Learning
Supervisors
What can we learn from touch? Towards end-to-end learning from robot touch
Supervisors
Representation learning for OOD detection and explanation
Supervisors
Designing Software for Clinical Environments
Supervisors
Publications
Recent publications
05/02/2025Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study
JMIR Human Factors
Interpretable Classification of Early Stage Parkinson’s Disease from EEG
AI for Health Equity and Fairness
Investigating Brain Connectivity and Regional Statistics from EEG for Early Stage Parkinson's Classification
2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
Typicality-based point OOD detection with contrastive learning
Northern Lights Deep Learning Conference
Relatively Rational: Learning Utilities and Rationalities Jointly from Pairwise Preferences
Related people
Professor Robert Piechocki
Professor of Wireless Systems
School of Electrical, Electronic and Mechanical Engineering
Professor Ian Craddock
Head of School
School of Civil, Aerospace and Design Engineering
Professor Peter Flach
Professor of Artificial Intelligence
School of Computer Science
Mr Miquel Perello Nieto
Senior Research Associate
School of Engineering Mathematics and Technology
Mr Taku Yamagata
Senior Research Associate
School of Engineering Mathematics and Technology