![Sarmad Mueen Al-Gawwam](/sites/default/files/styles/diamond_shape_250x250/public/2024-01/384140565_6832964060124064_1186900045755374081_n_0.jpg?itok=Y-eEKcrb)
Dr Sarmad Mueen Al-Gawwam
ResearchResearch interests
I currently hold the position of Joint Research Fellow at the Centre for Vision, Speech, and Signal Processing (CVSSP) and the Surrey Sleep Research Centre (SSRC) at the University of Surrey. My primary research focuses on AI and Multimodality Analysis in Sleep, where I actively contribute to the development of intelligent video/signal processing and machine learning models for sleep monitoring. Additionally, I am deeply involved in the evaluation, validation, and implementation of innovative algorithms designed to quantify sleep patterns in individuals with dementia.
My academic journey commenced with a Bachelor's degree in Computer Engineering, followed by the successful completion of an MSc in Computer Networks at the University of Portsmouth. In 2022, I earned my Ph.D. from the University of Sheffield. My doctoral research was centered around the diagnosis of behavioral changes in mental illness through the adept application of visual signal processing and deep learning models.
I have a keen interest in diverse areas, including Machine Learning and AI, Multi-modal Data Analysis, Temporal Action Localization, and Digital Healthcare Technology.
Research interests
I currently hold the position of Joint Research Fellow at the Centre for Vision, Speech, and Signal Processing (CVSSP) and the Surrey Sleep Research Centre (SSRC) at the University of Surrey. My primary research focuses on AI and Multimodality Analysis in Sleep, where I actively contribute to the development of intelligent video/signal processing and machine learning models for sleep monitoring. Additionally, I am deeply involved in the evaluation, validation, and implementation of innovative algorithms designed to quantify sleep patterns in individuals with dementia.
My academic journey commenced with a Bachelor's degree in Computer Engineering, followed by the successful completion of an MSc in Computer Networks at the University of Portsmouth. In 2022, I earned my Ph.D. from the University of Sheffield. My doctoral research was centered around the diagnosis of behavioral changes in mental illness through the adept application of visual signal processing and deep learning models.
I have a keen interest in diverse areas, including Machine Learning and AI, Multi-modal Data Analysis, Temporal Action Localization, and Digital Healthcare Technology.