Paris Smaragdis
Scholar

Paris Smaragdis

Google Scholar ID: AYpm7KcAAAAJ
Professor, Massachusetts Institute of Technology
Audio Signal ProcessingComputational AuditionMachine LearningMachine Listening
Citations & Impact
All-time
Citations
4,688
 
H-index
33
 
i10-index
87
 
Publications
20
 
Co-authors
41
list available
Contact
Resume (English only)
Academic Achievements
  • Named one of the top young technology innovators by MIT Technology Review in 2006
  • IEEE Fellow
  • IEEE Distinguished Lecturer (2016–2017)
  • Former Editor-in-Chief of ACM/IEEE Transactions on Audio, Speech, and Language Processing
  • Former chair of multiple IEEE SPS technical committees: Audio and Acoustic Signal Processing, Machine Learning for Signal Processing, and Data Science Initiative
  • Served on the IEEE SPS Board of Governors
  • Multiple best paper awards, including IEEE WASPAA 2021 Best Paper Award and IEEE SPS Best Paper Award
  • Holder of multiple U.S. patents
Research Experience
  • Former professor and associate director of the School of Computer and Data Science at UIUC, where he founded the CS+Music program
  • Former Amazon Scholar at AWS
  • Founded audio research at Adobe Research
  • Former research scientist at MERL
  • Worked at Interval Research and Starlab
  • Visiting scientist at MIT’s McGovern Institute for Brain Research
Background
  • Professor in MTA and EECS at MIT
  • Primary research interests focus on enabling machines to listen
  • Extensive work in signal processing, machine learning, and statistics as applied to artificial perception, particularly computational audition and music processing
  • Passionate about audio-related research, with emphasis on source separation and novel machine learning approaches to traditional signal processing problems
  • Affiliated with MIT's Music Technology program, a member of RLE, and an AI+D faculty member in EECS