Juhan Nam
Full Professor at KAIST
Daejeon, South Korea
Summary
👤
Senior🎓
Top SchoolJuhan Nam is a Full Professor at KAIST with 11 years of academic experience and a deep research-and-industry background in audio and music signal processing, acoustics, and machine learning. He built his technical foundation developing DSP and synthesis software for musical instruments, then applied ML to sound recognition during an Adobe ATLab internship and to mobile speech enhancement at Qualcomm. At KAIST’s Graduate School of Culture Technology he has progressed from assistant to full professor, blending music technology research with practical signal-processing solutions. His profile marries Stanford-trained academic rigor with hands-on engineering for real-world audio products, and he often frames music problems as machine-learning challenges that span perception, acoustics, and interactive media.
11 years of coding experience
18 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at Seoul National UniversityDoctor of Philosophy (Ph.D.), Music, Doctor of Philosophy (Ph.D.), Music at Stanford University
Github Skills (7)
music8
spring5
machine-learning5
audio5
video-recording4
audio-processing3
multimedia3
Programming languages (3)
Github contributions (5)
juhannam/ctp431-2018
Sep 2018 - Sep 2019
Code repository for KAIST CTP431 Fall 2018 Music and Audio Computing Class
Contributions:29 commits, 25 pushes, 1 branch in 1 year
kaistfallaudiocode-repositorycomputing
juhannam/gct634-2018
Mar 2018 - May 2018
Contributions:21 commits, 10 PRs, 17 pushes in 2 months
musickaistmusicalmachine-learning
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