Beena Ahmed

Dr. Bevin Ahmed is a researcher and academic with a strong background in signal processing, speech technology, and biomedical engineering. Her work spans a wide range of applications, including speech therapy, biofeedback systems, and early detection of diseases such as oral cancer. Dr. Ahmed has made significant contributions to the development of mobile applications and games for speech therapy, particularly for children with speech disorders. She has also worked on the use of fluorescence lifetime imaging (FLIM) endoscopy for the early detection of oral cancer and precancerous lesions. Her research has been published in numerous high-impact journals and conferences, and she has received recognition for her innovative approaches to solving complex problems in healthcare and education.

Beena Ahmed is a researcher at the University of New South Wales specializing in biomedical signal processing, speech processing, sleep analysis, and stress monitoring. Her work focuses on developing wearable technologies for stress and sleep monitoring, as well as using speech analysis for clinical applications such as diagnosing speech disorders and insomnia. Ahmed has contributed to the development of mobile games for speech therapy and has explored the use of deep learning in speech and biomedical signal analysis. Her research emphasizes the integration of biofeedback and machine learning for health monitoring and therapeutic interventions.