Hwan Shim

Assistant Professor

Department of Electrical and Computer Engineering Technology

College of Engineering Technology

hxsiee@rit.edu

585-475-2263

Office Hours

Tuesday, Thursday: 1:30-4 pm

Office Location

ENT-2138

Office Mailing Address

78 Lomb Memorial Dr., Rochester NY 14623

Hwan Shim

Assistant Professor

Department of Electrical and Computer Engineering Technology

College of Engineering Technology

Bio

Hwan Shim is an assistant professor at the Department of Electrical and Computer Engineering Technology at Rochester Institute of Technology (RIT).

Dr. Shim received the B.S. degree in Electrical and Computer Engineering in 2003, and the Ph.D. degree in Electrical Engineering and Computer Science in 2008, all from Seoul National University, Korea.

His professional work experiences include being a lecturer for three years at Dong-Ah Institute of Media and Arts (DIMA) (Korea), a visiting scholar for one year and four months at Stanford University, a principal engineer for eleven years at Samsung Electronics Co., Ltd., and a postdoctoral research scholar/assistant research scientist for one year and seven months at the University of Iowa.

He is a creative innovator who has 21 US-granted patents and is a passionate educator in Applied acoustics.

His research interests include applied acoustics, auditory cognitive neuroscience, speech/music perception, hearing aid algorithms, sound source separation, and spatial audio capturing/rendering.

hxsiee@rit.edu

585-475-2263

Personal Links

ORCID

Curriculum Vitae

Select Scholarship

Journal Paper

Lee, Jae Hee, et al. "Strength of Attentional Modulation on Cortical Auditory Evoked Responses Correlates with Speech-in-Noise Performance in Bimodal Cochlear Implant Users." Trends in Hearing 26. (2022): 1-10. Web.

Shim, Hwan, et al. "Differences in neural encoding of speech in noise between cochlear implant users with and without preserved acoustic hearing." Hearing Research 427. (2023): 108649-108655. Print.

Shim, Hwan, et al. "Neural Mechanisms Related to the Enhanced Auditory Selective Attention Following Neurofeedback Training: Focusing on Cortical Oscillations." applied sciences 13. 14 (2023): 8499-8509. Web.

Peer Reviewed/Juried Poster Presentation or Conference Paper

Shim, Hwan, et al. "Changes in the oscillatory activity of executive attentional networks following neurofeedback training of auditory selective attention." Proceedings of the 46th Annual ARO MidWinter Meeting. Ed. ARO. Orlando, Florida: Association for Research in Otolaryngology (ARO).

Published Conference Proceedings

Choi, Inyong, et al. "Neurofeedback training of selective attention improves speech-in-noise understanding,." Proceedings of the Proceedings of the 24th International Congress on Acoustics. Ed. ICA. Gyeongju, Korea: International Congress on Acoustics (ICA), 2022. Web.

Currently Teaching

CPET-343

Hardware Description Language

3 Credits

This course is a more in depth coverage of current logic design and verification methodologies using a modern hardware description language (HDL). Topics include coding for different levels of abstraction; implementation of arithmetic circuits and finite state machines, hierarchical designs, reusable component design, data and control path, best coding practices, design constraints and verification. The laboratories are designed to illustrate concepts, reinforce analysis and design skills, and develop instrumentation techniques associated with the lecture topics.

EEET-461

Introduction to Acoustics

3 Credits

This course introduces the student to sound as both a physical and psychological phenomenon. The course explains the nature of sound in terms of acoustic pressure and provides an overview of how humans receive and perceive sound. Sound waves are also introduced, starting with the development of the acoustic wave equation and its solution for plane and spherical waves with harmonic sources. The concepts of acoustic intensity and acoustic impedance are presented. The course also includes study of basic sound sources as well as the absorption, reflection, scattering and diffraction of sound by various physical structures.