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Michael Casey
PeerJ Author
240 Points

Contributions by role

Author 135
Preprint Author 105

Contributions by subject area

Biodiversity
Conservation Biology
Ecology
Computational Science
Bioinformatics
Adaptive and Self-Organizing Systems
Data Mining and Machine Learning
Data Science

Michael Casey

PeerJ Author

Summary

Michael Casey is a Professor of Computer Science at Dartmouth College. He directs the Bregman Media Labs, an interdisciplinary laboratory working at the intersections of music, art, and science. He received his doctorate from the Massachusetts Institute of Technology (Media Laboratory '98) held positions as Research Scientist at Mitsubishi Electric Research Labs in Cambridge and Professor of Computer Science at the University of London prior to joining the faculty at Dartmouth. He made significant contributions to the MPEG-4 and MPEG-7 international standards as a member of the Moving Picture Experts Group (MPEG). His research has been funded by the Engineering and Physical Sciences Research Council (EPSRC), the National Endowment fot the Humanities (NEH), Yahoo Research Inc., Google Inc., and a Neukom Institute for Computational Science Comp-X award. Michael holds three international awards for music composition and music technology, and his work on music and the brain was featured in the UK Channel-4 Television documentary "Music and the Mind". His current research investigates the cognitive representation of music using information dynamics and multivariate methods in fMRI imaging.

Adaptive & Self-Organizing Systems Computational Science Data Mining & Machine Learning Data Science

Past or current institution affiliations

Dartmouth College

Websites

  • Bregman Labs

PeerJ Contributions

  • Articles 1
  • Preprints 1
June 30, 2016
A new method for ecoacoustics? Toward the extraction and evaluation of ecologically-meaningful soundscape components using sparse coding methods
Alice Eldridge, Michael Casey, Paola Moscoso, Mika Peck
https://doi.org/10.7717/peerj.2108 PubMed 27413632
May 13, 2016 - Version: 3
A New Method for Ecoacoustics? Toward the Extraction and Evaluation of Ecologically-Meaningful Sound Objects using Sparse Coding Methods
Alice C Eldridge, Michael Casey, Paola Moscoso, Mika Peck
https://doi.org/10.7287/peerj.preprints.1407v3