Hwan Shim
Assistant Professor
Department of Electrical and Computer Engineering Technology
College of Engineering Technology
585-475-2263
Office Hours
Tue: 3-6pm, Thu: 4-6pm
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 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.
585-475-2263
Select Scholarship
Peer Reviewed/Juried Poster Presentation or Conference Paper
Shim, Hwan, et al. "Oscillatory Activity Changes in Executive Attentional Networks Following Neurofeedback Training of Talker- and Space-Based Selective Attention." Proceedings of the 48th Annual MidWinter Meeting of Association for Research in Otolaryngology (ARO). Ed. ARO. Orlando, FL: n.p..
Takeuchi, Akira, et al. "Individual Spatial Auditory Cognitive Patterns and Self-Construal." Proceedings of the 48th Annual MidWinter Meeting of Association for Research in Otolaryngology (ARO). Ed. ARO. Orlando, FL: n.p..
Ham, Jusung, et al. "Decoding Auditory Selective Attention in Normal Hearing and Cochlear Implant Listeners." Proceedings of the 48th Annual MidWinter Meeting of Association for Research in Otolaryngology (ARO). Ed. ARO. Orlando, FL: n.p..
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, Hongji, et al. "Electronic device for measuring blood pressure and operating method thereof." U.S. Patent EP3569142B1. 26 Jun. 2024.
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.
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-261
Fundamentals of Audio Engineering
3 Credits
This course provides a fundamental study of the technology and practice used in recording, editing, mixing, production, and distribution of sound. Topics include microphone types, selection and application the mixing console, mixing techniques and introduction to Signal Processing equipment and associated techniques, an introduction to the concepts relating to digital audio technology such as sampling, the Nyquist theorem, alias frequencies, quantization, dynamic range, compression and their applications will be covered. Topics include basics of digital audio, session creation, importing media, recording techniques, editing, mixing, and mastering. In addition, the course teaches how-to-listen sonic difference to appropriately apply the technical knowledge and to achieve highest sound quality.
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.
RMET-797
MMSI Capstone Project
3 Credits
This course provides the MMSI graduate students an opportunity to complete their degree requirements by addressing a practical real-world challenge using the knowledge and skills acquired throughout their studies. This course is not only the culmination of a student's course work but also an indicator of the student's ability to use diverse knowledge to provide a tangible solution to a problem. The capstone project topic can be in the areas of product development, manufacturing automation, management system, quality management or electronics packaging. The course requires a comprehensive project report and a final presentation.