Professor Raul Santos-Rodriguez
MSc (Carlos III), PhD (Carlos III)
Current positions
Professor of Data Science and Intelligent Systems
School of Engineering Mathematics and TechnologyAcademic Co Director (Engineering) for BDFI
Science and Engineering Faculty Office
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
Global Methane Flux Inference using Emulated Atmospheric Transport
Principal Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/05/2025 to 31/10/2028
Transforming the Objective Real-world measUrement of Symptoms (TORUS)
Principal Investigator
Role
Co-Investigator
Managing organisational unit
Dates
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
Dates
01/10/2021 to 31/03/2022
8032 EPSRC Turing AI Fellowship: Interactive Annotations in AI EP/V024817/1
Principal Investigator
Managing organisational unit
Dates
01/01/2021 to 31/12/2025
Thesis supervisions
Machine Learning in the Wild for Cognitive Disorders
Supervisors
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
Sound Similarity Measures for Human-Centric Control and Perception in Generative Modelling
Supervisors
Uncertainty aware classification
Supervisors
Leveraging home-based semi-structured writings and unstructured conversations for early dementia detection
Supervisors
Accelerating Greenhouse Gas Emissions Inference using Machine Learning
Supervisors
Robust and Efficient Residential Indoor Localisation for Healthcare
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
On the Connection Between the Human Visual System and Machine Learning
Supervisors
Bridging Neuroscience and Machine Learning
Supervisors
Inspecting the Machine Learning Pipeline
Supervisors
Publications
Recent publications
11/05/2026An Object-Level Entropy-Based Adversarial Attack for Image Privacy
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2025, Revised Selected Papers
Contour vs. Interior
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Exploring the Requirements of Clinicians for Transparent and Trustworthy Decision Support Systems in Intensive Care: Semistructured Interview Study (Preprint)
Learning Generation Orders for Masked Discrete Diffusion Models via Variational Inference
Enabling fast greenhouse gas emissions inference from satellites with GATES
Geoscientific Model Development
Related people
Professor Ian Craddock
Head of School
School of Civil, Aerospace and Design Engineering
Professor Peter Flach
Professor of Artificial Intelligence
School of Computer Science
Dr Chris McWilliams
Research Fellow
School of Engineering Mathematics and Technology
Dr Alexander Hepburn
Research Fellow in Machine Learning
Science and Engineering Faculty Office
Dr Zahraa Abdallah
Senior Lecturer
School of Engineering Mathematics and Technology