Youngmoo Kim

Youngmoo Kim

Professor
Director, Expressive and Creative Interactive Technologies (ExCITe) Center
Electrical and Computer Engineering

Youngmoo Kim

Professor
Director, Expressive and Creative Interactive Technologies (ExCITe) Center
Electrical and Computer Engineering

Biography

Youngmoo Kim is Director of the Expressive and Creative Interaction Technologies (ExCITe) Center and Professor of Electrical and Computer Engineering at Drexel University. His research group, the Music & Entertainment Technology Laboratory (MET-lab) focuses on the machine understanding of audio, particularly for music information retrieval. Other areas of active research at MET-lab include human-machine interfaces and robotics for expressive interaction, analysis-synthesis of sound, and K-12 outreach for engineering, science, and mathematics education.

Youngmoo also has extensive experience in music performance, including 8 years as a member of the Tanglewood Festival Chorus, the chorus of the Boston Symphony Orchestra. He is a former music director of the Stanford Fleet Street Singers, and has performed in productions at American Musical Theater of San Jose and SpeakEasy Stage Company (Boston). He is a member of Opera Philadelphia’s newly-formed American Repertoire Council.

Youngmoo was named "Scientist of the Year" by the 2012 Philadelphia Geek Awards and was recently honored as a member of the Apple Distinguished Educator class of 2013. He is recipient of Drexel's 2012 Christian R. and Mary F. Lindback Award for Distinguished Teaching. He co-chaired the 2008 International Conference on Music Information Retrieval hosted at Drexel and was invited by the National Academy of Engineering to co-organize the "Engineering and Music" session for the 2010 Frontiers of Engineering conference. His research is supported by the National Science Foundation and the John S. and James L. Knight Foundation.

Degrees / Education

  • PhD, Media Arts & Sciences, MIT, 2003
  • MS, Electrical Engineering, Stanford University
  • MA, Music, Stanford University
  • BS, Engineering, Swarthmore College
  • BA, Music, Swarthmore College

Research Interests

Machine listening and learning; audio signal processing; human-computer interaction; audio source separation; audio data compression

Areas of Study

Academic Distinctions

  • 2021 College of Engineering Inclusive Excellence Award
  • 2013 Apple Distinguished Educator
  • 2012 Christian R. and Mary F. Lindback Foundation Award for Distinguished Teaching
  • 2012 Scientist of the Year – Philadelphia Geek Awards
  • 2007 National Science Foundation Faculty Early Career Development Program (NSF CAREER)