My research interests lie in the intersection of hearing science, audiology, and signal processing, with a particular focus on:
Bio-inspired Auditory Modeling: Developing computational models of the auditory system to better understand how humans process sound and how hearing impairments affect this process.Speech Intelligibility in Noise: Investigating how noise affects speech understanding in both normal-hearing and hearing-impaired individuals, and developing algorithms to improve speech intelligibility in noisy environments.Cochlear Implants and Hearing Aids: Developing and evaluating signal processing strategies for cochlear implants and hearing aids to improve speech perception and sound quality for hearing-impaired individuals.Auditory Evoked Potentials: Investigating the use of auditory evoked potentials as an objective measure of auditory function and as a tool for evaluating the effectiveness of auditory rehabilitation.Psychoacoustics: Studying the relationship between the physical properties of sound and the perceptual experience of hearing, with a focus on how hearing impairments affect this relationship.
My research combines experimental, computational, and clinical approaches to address these key areas, with the ultimate goal of improving the quality of life for people with hearing impairments.
