Professor Raul Santos-Rodriguez
MSc (Carlos III), PhD (Carlos III)
Current positions
Professor 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
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
Towards Cooperative MARL in Industrial Domains
Supervisors
Human sensing indoors in RF utilising unlabeled sensor streams
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
Inspecting the Machine Learning Pipeline
Supervisors
Publications
Recent publications
23/01/2024Typicality-based point OOD detection with contrastive learning
Northern Lights Deep Learning Conference
Identification, Explanation and Clinical Evaluation of Hospital Patient Subtypes
Artificial Intelligence for Personalized Medicine
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers
CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
Self-Supervised WiFi-Based Activity Recognition
2022 IEEE Globecom Workshops (GC Wkshps)
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer’s Disease
Artificial Intelligence for Personalized Medicine. W3PHAI 2023