Hwan Shim
Assistant Professor
Hwan Shim
Assistant Professor
Bio
Hwan Shim is an Assistant Professor in the Department of Electrical and Computer Engineering Technology and the Principal Investigator of the Music and Audio Cognition Lab (MACL, https://rit.edu/macl/) at the Rochester Institute of Technology (RIT).
Dr. Shim received his B.S. in Electrical and Computer Engineering in 2003 and his Ph.D. in Electrical Engineering and Computer Science in 2008, both from Seoul National University, Korea.
He has held various professional roles, including two and a half years as a lecturer at Dong-Ah Institute of Media and Arts (DIMA) in Korea, one year and four months as a visiting scholar at Stanford University, eleven years as a principal engineer at Samsung Electronics Co., Ltd., and one year and seven months as a postdoctoral research scholar and assistant research scientist at the University of Iowa.
Dr. Shim is a creative innovator, holding 27 U.S.-granted patents, and is a passionate educator in applied acoustics.
His research interests span applied acoustics, auditory cognitive neuroscience, speech and music perception, hearing aid algorithms, sound source separation, and spatial audio capturing and rendering.
Select Scholarship
Currently Teaching
In the News
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November 13, 2025
RIT Professor Receives $750k in Funding from NIH for Hearing Device Research
WROC-TV speaks to Hwan Shim, assistant professor in the Department of Electrical and Computer Engineering Technology, about his research.
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September 30, 2025
Audio engineer awarded funding to improve and personalize hearing devices and headphones
Today’s audio devices are sophisticated, but some underperform in noisy or distracting environments. To address these challenges, Hwan Shim and his research group developed a prototype headset to provide neurofeedback information.
Featured Work
Next-Gen Hearing: Assistant Professor is Training AI to Power Personalized Audio
Hwan Shim CET Assistant Professor Hwan Shim is building the next generation of personalized audio. Shim was recently awarded nearly $750,000 in NIH funding to develop technology that trains AI and machine...
Read More about Next-Gen Hearing: Assistant Professor is Training AI to Power Personalized Audio