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About me
I’m currently working as a lecturer at the University of Bristol, UK. Previously, I worked as a Research Associate for the SPHERE project, where I developed Computer Vision and Machine Learning algorithms to fuse sensor data and monitor people’s health in their own homes.
My current research interests focus on Computer Vision, Human Motion Analysis, Sensor Fusion and Digital Health. Recently, I’ve been working on using Artificial Intelligence and Sensory Fusion to objectively measure symptoms of Parkinson’s disease to help the development of new drugs. In the past, I worked in Aerospace Engineering and developed algorithms in Computational Fluid Dynamics.
Please use the top bar to check out my curriculum, teaching, current research, past publications and some code I wrote.
Latest Research Projects
Matching video data with wearables
Sit-to-Stand analysis in home environment
Calorie estimation from video silhouettes
Latest publications
- Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity
Morgan C., Masullo A., Mirmehdi M., Isotalus H., Jovan F., McConville R., Tonkin E., Whone A. & Craddock I.
August 2023, Digit Biomark. - Inertial Hallucinations - When Wearable Inertial Devices Start Seeing Things
Masullo A., Perrett T., Burghardt T., Damen D. & Mirmehdi M.
May 2022, arXiv. - Temporal-Relational CrossTransformers for few-shot action recognition
Perrett T., Masullo A., Burghardt T., Mirmehdi M. & Damen D.
June 2021, Computer Vision and Pattern Recognition 2021 (CVPR). - No Need for a Lab: Towards Multi-sensory Fusion for Ambient Assisted Living in Real-world Living Homes
Masullo A., Perrett T., Damen D., Burghardt T. & Mirmehdi M.
February 2021, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) - Person Re-ID by Fusion of Video Silhouettes and Wearable Signals for Home Monitoring Applications
Masullo A., Burghardt T., Damen D., Perrett T. & Mirmehdi M.
January 2020, Sensors - Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments
Masullo A., Burghardt T., Damen D., Perrett T. & Mirmehdi M.
October 2019, International Conference on Computer Vision Workshop - Sit-to-Stand Analysis in the Wild Using Silhouettes for Longitudinal Health Monitoring
Masullo A., Burghardt T., Perrett T., Damen D. & Mirmehdi M.
August 2019, Lecture Notes in Computer Science (ICIAR).
Full list available here.