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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

Inertial Hallucinations

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.