Professor Ian Craddock
B.Eng., Ph.D.(Bristol), C.Eng
Current positions
Contact
Press and media
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Research interests
- Director of the EPSRC funded SPHERE IRC (£12M, ~30 postdocs and 10 PhD students).
- Pervasive health.
- Technology for self-management of long term health conditions.
- Ultra low power wireless communications.
- Data fusion and clinical decision support.
- Antennas.
- Electromagenetics, radar and inverse scattering.
Projects and supervisions
Research projects
LEAP (Leadership Engagement Acceleration & Partnership) - an EPSRC Digital Health Hub
Principal Investigator
Managing organisational unit
Bristol Veterinary SchoolDates
01/10/2023 to 30/09/2026
LEAP (Leadership Engagement Acceleration & Partnership) - an EPSRC Digital Health Hub
Principal Investigator
Managing organisational unit
Department of Electrical & Electronic EngineeringDates
01/10/2023 to 30/09/2026
LEAP (Leadership Engagement Acceleration & Partnership) - an EPSRC Digital Health Hub
Principal Investigator
Managing organisational unit
Department of Electrical & Electronic EngineeringDates
01/10/2023 to 30/09/2026
LEAP (Leadership Engagement Acceleration & Partnership) - an EPSRC Digital Health Hub
Principal Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/10/2023 to 30/09/2026
Transforming the Objective Real-world measUrement of Symptoms (TORUS)
Principal Investigator
Managing organisational unit
Department of Electrical & Electronic EngineeringDates
01/10/2023 to 30/09/2028
Thesis supervisions
Publications
Recent publications
16/05/2023Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Real World Parkinson’s Disease Tremor and Score Prediction using Wearable IMU Sensors
Proceeding of IEEE International Conference on E-health Networking, Application & Services
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations
A multi-sensor dataset with annotated activities of daily living recorded in a residential setting
Scientific Data
Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity
Digital Biomarkers
Thesis
Enhanced numerical techniques for time domain electromagnetic analysis
Supervisors
Award date
01/01/1995
Related people
Professor Robert Piechocki
Professor of Wireless Systems
School of Electrical, Electronic and Mechanical Engineering
Dr Emma Tonkin
Data Manager
School of Engineering Mathematics and Technology
Professor Raul Santos-Rodriguez
Professor of Data Science and Intelligent Systems
School of Engineering Mathematics and Technology
Dr Ryan McConville
Senior Lecturer in AI
School of Engineering Mathematics and Technology
Dr Catherine Morgan
Honorary Research Fellow
Bristol Medical School (THS)