Hwan Shim
Assistant Professor
Department of Electrical and Computer Engineering Technology
College of Engineering Technology
585-475-2263
Office Hours
Tuesday, Thursday: 1:30-4 pm
Office Location
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 24 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.
Select Scholarship
Full Patent
Lee, Hansung, et al. "Electronic device for acquiring biometrics using PPG sensor, and method therefor." U.S. Patent US11974838B2. 7 May 2024.
Lee, Wonkyu, et al. "Electronic device and method for determining sleep-related information." U.S. Patent US11998346B2. 4 Jun. 2024.
Lee, Gunwoo, et al. "Method for improving sound quality and electronic device using same." U.S. Patent US11562763B2. 24 Jan. 2023.
Lee, Hong Ji, et al. "Apparatus and method for determining calibration timing for blood pressure measurement in electronic device." U.S. Patent US11510579B2. 29 Nov. 2022.
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).
Ham, Jusung, et al. "Effect of Feedback Reliability for Neurofeedback Training of Auditory Selective Attention." Proceedings of the 46th Annual MidWinter Meeting of Association for Research in Otolaryngology (ARO). Ed. ARO. Orlando, Florida: n.p..
Takeuchi, Akira, et al. "Spatial attentional behavior analysis based on cognitive style during speech-in-noise task." Proceedings of the Acoustical Society of America (ASA) Spring 2023 Meeting. Ed. ASA. Chicago, IL: Acoustical Society of America (ASA).
Kim, Sungyoung, et al. "Relationship between listener’s cognitive construals and spatial auditory seletctive attention." Proceedings of the Acoustical Society of Korea Spring 2023 Meeting. Ed. ASK. Seogwipo, Korea: Acoustical Society of Korea.
Sato, Rai, et al. "Quantitative Assessment of Acoustical Attributes and Listener Preferences in Binaural Renderers." Proceedings of the Audio Engineering Society (AES) 155th Convention. Ed. AES. New Yotk, New York: Audio Engineering Society.
Gibbs, Lear, et al. "A New Concept of Auditory Rehabilitation: Neurofeedback Training of Auditory Attention." Proceedings of the American Speech-Language-Hearing Association (ASHA) 2023 Convention. Ed. ASHA. Boston, Massachusetts: American Speech-Language-Hearing Association.
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.