Professor Majid Mirmehdi
DF-BMVA, FIAPR, B.Sc., Ph.D.(City), C.Eng., M.I.E.E., S.M.I.E.E.E.
Current positions
Professor of Computer Vision/Engineering Faculty Education Director
School of Computer Science
Contact
Press and media
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Research interests
- For Research-Teaching etc. see http://people.cs.bris.ac.uk/~majid/
- Interests: Computer Vision, Image Processing, Pattern Recognition
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
WildDrone
Principal Investigator
Role
Collaborator
Description
Autonomous Drones for Nature Conservation MissionsManaging organisational unit
School of Civil, Aerospace and Design EngineeringDates
01/01/2023 to 31/12/2026
SPHERE2
Principal Investigator
Role
Co-Investigator
Managing organisational unit
Department of Electrical & Electronic EngineeringDates
01/10/2018 to 31/01/2023
Affordable Long-Term Quality of Motion Assessment in Co-Residencial Environments (Egypt Case Study)
Principal Investigator
Role
Co-Investigator
Description
Research work at the University of Bristol on online quality of motion assessment [1,2] for monitoring functional mobility and risk of fall amongst the elderly, including Parkinsons patients, at their…Managing organisational unit
Department of Computer ScienceDates
01/03/2016 to 31/07/2016
SPHERE (EPSRC IRC)
Principal Investigator
Role
Principal Investigator
Description
This project aims to develop a platform of sensors to be deployed in people's homes to monitor the health and wellbeingManaging organisational unit
Department of Electrical & Electronic EngineeringDates
01/10/2013 to 31/03/2019
Thesis supervisions
Transport of suspended particles in physiological flows with a focus on the near-wall flow field and importance of anatomical form
Supervisors
View-invariant human movement assessment
Supervisors
Action Completion Recognition and Detection
Supervisors
Remote Depth-based Photoplethysmography in Pulmonary Function Testing
Supervisors
Boundary Analysis Strategies for Temporal Action Detection
Supervisors
Guided deep learning applied to animal recognition in video
Supervisors
Learning Strategies for Parkinson’s Disease Severity Assessment
Supervisors
Automatic prediction of functional outcome of patients with ischaemic stroke
Supervisors
Publications
Recent publications
17/02/2025Automatic prediction of stroke treatment outcomes
Biomed. Eng. Lett.
PECoP
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
ChimpVLM
QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps
Deep dive into KABR
Multimedia Tools and Applications
Related people
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Professor Ian Craddock
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Dr Tilo Burghardt
Associate Professor of Computer Science
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Professor Alan Whone
Professor of Movement Disorders Neurology
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