Subong Kim

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Assistant Professor

Montclair State University

United States

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About

Subong Kim is an Assistant Professor at Montclair State University in the United States. His research areas focus on auditory processing, speech perception in noise, and the effects of neurofeedback training on auditory attention. Recent publications include studies on individual noise tolerance, neural encoding in cochlear implant users, and the relationship between cortical measures and speech-in-noise performance.

Recent Grants

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Mechanism-based Approach to Optimization of Noise Reduction in Hearing Aids: Influence of Individual Traits on Outcomes and Preference

Open Date: 2021-04-01

Close Date: 2022-03-31

Articles (12)

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2025

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2021

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2020

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2020

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2020

Collaborators (5)

Inyong Choi

Iowa State University

UNITED STATES

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Jihwan Woo

University of Ulsan

SOUTH KOREA

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Phillip Evan Gander

Research Assistant Professor

Iowa State University

UNITED STATES

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Hwan Shim

Assistant Professor

Rochester Institute of Technology

UNITED STATES

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Bruce Gantz

Professor

The University of Iowa

UNITED STATES

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Subong Kim

Research Interests

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Contact this professor

About

Recent Grants

Articles (12)

Assessment of the Construct and Criterion Validity Between Fall Risk Screening Measures (Modified Clinical Test of Sensory Interaction on Balance Versus Timed Up and Go Test)

Individual Noise-Tolerance Profiles and Neural Signal-to-Noise Ratio: Insights into Predicting Speech-in-Noise Performance and Noise-Reduction Outcomes

Cortical and Subjective Measures of Individual Noise Tolerance Predict Hearing Outcomes with Varying Noise Reduction Strength

Neural Mechanisms Related to the Enhanced Auditory Selective Attention Following Neurofeedback Training: Focusing on Cortical Oscillations

Differences in neural encoding of speech in noise between cochlear implant users with and without preserved acoustic hearing

Neural Correlates of Individual Differences in Speech-in-Noise Performance in a Large Cohort of Cochlear Implant Users

Effect of Noise Reduction on Cortical Speech-in-Noise Processing and Its Variance due to Individual Noise Tolerance

Neurofeedback Training of Auditory Selective Attention Enhances Speech-In-Noise Perception

Pre- and post-target cortical processes predict speech-in-noise performance

Auditory working memory explains variance in speech recognition in older listeners under adverse listening conditions

Comparison of Speech Recognition and Subjective Hearing Handicap in Elderly Listeners as a Function of Degree of Hearing Loss

Cortical dynamics of speech-in-noise understanding

Collaborators (5)

Inyong Choi

Jihwan Woo

Phillip Evan Gander

Hwan Shim

Bruce Gantz

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