معرفی
Dr. Mounya Elhilali is a Professor at The Johns Hopkins University with primary appointment in the Department of Electrical and Computer Engineering and joint appointment in the Department of Psychology and Brain Sciences. She also holds affiliations with the Kavli Neuroscience Discovery Institute and Center for Hearing and Balance. Her research focuses on computational neuroscience, auditory scene analysis, and biomedical signal processing with applications in both neurophysiology and clinical diagnostics.
Her work spans auditory attention modeling, statistical regularity extraction from dynamic sounds, and development of the D-REX computational framework. She has led advancements in lung auscultation technologies through projects like the programmable electronic stethoscope and noise suppression algorithms for low-resource settings.
Dr. Elhilali's teaching portfolio includes courses on
- Audio Signal Processing
- Computational and Systems Neuroscience
- Speech and Audio Processing
Scientific contributions include
- Neural mechanisms of auditory scene segregation
- Machine learning approaches to speech processing
- Biomedical applications of sound analysis
- Temporal coherence theory in cortical sound representation
