Paris Smaragdis

Electrical and Computer Engineering
Paris  Smaragdis
Paris Smaragdis
Assistant Professor
  • Electrical and Computer Engineering
3231 Siebel Center for Comp Sci
201 N. Goodwin Ave.
Urbana Illinois 61801

Primary Research Area

  • Biomedical Imaging, Bioengineering, and Acoustics - Acoustics

For more information



  • Ph.D. Massachusetts Institute of Technology, 2001, Advisor: Barry Vercoe

Research Statement

Making computers that understand their world around them is an incredibly hard problem. Fortunately it is also fascinating! My research explores the computational foundations for constructing systems that can understand sound (e.g., speech or music) the same way we do. On the theoretical side this involves creating new tools for processing and analyzing time-series, and draws heavily from the fields of machine learning and statistical signal processing. On the practical side this results in constructing actual machines with hearing abilities such as TVs that can find when the football game gets interesting, stethoscopes that detect and analyze heartbeats, music players that automatically DJ for you and smart traffic lights that can hear accidents that happen in their intersection. I am also interested in anything involving audio and computation and have been involved in the fields of computer music, audio synthesis algorithms and real-time performance.

Research Interests

  • Machine Learning
  • Signal Processing
  • Machine Listening
  • Audio Processing

Research Areas

  • Acoustics
  • Machine learning
  • Machine learning and pattern recognition
  • Signal detection and estimation
  • Speech processing
  • Speech processing
  • Speech recognition and processing

Chapters in Books

Selected Articles in Journals

Articles in Conference Proceedings

Teaching Honors

  • Engineering Council Outstanding Advisors (2014)

Other Honors

  • Dean’s Award for Excellence in Research (2016)
  • IEEE Signal Processing Society Distinguished Lecturer (2016-2017)
  • Adobe Distinguished Inventor (2015)
  • MIT Technology Review's World's Top 35 innovators under 35 years old (TR35) (2006)
  • C. W. Gear Outstanding Junior Faculty Award (2015)
  • IEEE Fellow (2015)

Courses Taught

  • CS 498 - Probability in CS
  • CS 598 - Mach Lrng for Signal Processng
  • ECE 310 - Digital Signal Processing
  • ECE 311 - Digital Signal Processing Lab
  • ECE 403 - Audio Engineering
  • INFO 510 - Research Practicum