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个人简介
Dr. Beena Ahmed is a Senior Lecturer in Signal Processing with the School of Electrical Engineering and Telecommunications.
Dr. Ahmed has been awarded international research grants for projects on long-term insomnia monitoring and remote speech therapy. She also received funding to use wearable physiological sensors to identify physiological correlates of mental stress and then adopt these correlates to develop biofeedback mobile games to teach users relaxation skills. Her current research interests are on applying machine learning and remote monitoring in healthcare and therapeutic applications. Specifically she is looking into algorithms to
track cognitive ability in the elderly using paralinguistic features
recognize speech production errors in patients undergoing speech therapy and second language speakers
adapt automatic speech recognition for use by people with speech impairments
identify the risk of adverse events in patients with diabetes and cardiovascular disorders to facilitate just-in-time intervention
detect malignant oral cancer tumors in fluorescence endoscopic images
track mental stress levels in the long term to better facilitate biofeedback treatment options
detect sleep disorders using minimally invasive sensors
Dr. Ahmed has been awarded international research grants for projects on long-term insomnia monitoring and remote speech therapy. She also received funding to use wearable physiological sensors to identify physiological correlates of mental stress and then adopt these correlates to develop biofeedback mobile games to teach users relaxation skills. Her current research interests are on applying machine learning and remote monitoring in healthcare and therapeutic applications. Specifically she is looking into algorithms to
track cognitive ability in the elderly using paralinguistic features
recognize speech production errors in patients undergoing speech therapy and second language speakers
adapt automatic speech recognition for use by people with speech impairments
identify the risk of adverse events in patients with diabetes and cardiovascular disorders to facilitate just-in-time intervention
detect malignant oral cancer tumors in fluorescence endoscopic images
track mental stress levels in the long term to better facilitate biofeedback treatment options
detect sleep disorders using minimally invasive sensors
研究兴趣
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LINGUISTICS VANGUARD (2024)
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.5340-5344, (2024)
CoRR (2024)
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2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023): 1-4
INTERNATIONAL JOURNAL OF SPEECH-LANGUAGE PATHOLOGYno. 3 (2023): 388-402
arXiv (Cornell University) (2023): 6495-6499
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