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About me
I’m currently working as a Sr. Data Scientist for Veritone specialising in Computer Vision and Deep Learning for Video Re-Identification (RE-ID).
Previously, I worked as a lecturer at the University of Bristol and contributed as a Research Associate for the SPHERE project, focusing on developing Computer Vision and Multi-Sensory Fusion algorithms for health monitoring.
My interests focus on Computer Vision, ReID, Human Motion Analysis, Sensor Fusion and Digital Health. In the past, I worked in Aerospace Engineering and developed numerical algorithms in Computational Fluid Dynamics.
Please use the top bar to check out my curriculum, current research, past publications and some code I wrote.
Past Research Projects
Matching video data with wearables
Sit-to-Stand analysis in home environment
Calorie estimation from video silhouettes
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.