Carnegie Mellon University

Carlos Busso

Carlos Busso

Professor, Language Technologies Institute

  • 5509 Gates & Hillman Centers
  • 412-268-2794
Address
5000 Forbes Avenue
Pittsburgh, PA 15213

Carlos Busso is a Professor at the Language Technologies Institute, where he is also the director of the Multimodal Speech Processing (MSP) Laboratory. He is an IEEE Fellow and ISCA Fellow. His research research focuses on human-centered multimodal machine intelligence and its applications in speech-based interfaces.

Before joining CMU, he was a faculty member at The University of Texas at Dallas (UTD), where he served as an Assistant Professor (2009-2015), Associate Professor (2015-2020), and Full Professor (2020-2024) in the Department of Electrical and Computer Engineering.

  • Speech and multimodal processing
  • Affective computing
  • Social signal processing
  • Multimodal machine learning
  • Multimodal foundational models
  • Language technology for healthcare and mental health
  • Multimodal behavior generative models
  • Fellow of the International Speech Communication Association (ISCA), 2024
  • Jonsson School Faculty Research Award at UTD, Full Professor, 2024
  • AAAC Student Dissertation Award (student: Wei Cheng (Winston) Lin), 2024
  • Fellow of the Institute of Electrical and Electronics Engineers (IEEE), 2023
  • ACM ICMI Community Service Award, 2023
  • SIPI Distinguished Alumni Award in the Mid-Career/Academia category, 2023
  • 2021 Best Paper Award from IEEE Transactions on Affective Computing, 2022
  • Best of IEEE Transactions on Affective Computing Paper Collection award, 2021
  • Best Paper Award - AAAC ACII2017
  • Jonsson School Senior (Assoc. Professor) Research Award, 2016
  • IEEE Access Best Multimedia Contest Winner 2015, 2015
  • NSF CAREER award, 2015
  • Third prize IEEE ITSS Best Dissertation Award 2015 (student: Nanxiang Li)
  • ICMI Ten-Year Technical Impact Award - ACM ICMI 2014
  • Best Paper Award - IEEE ICME, 2011
  • First place, Classifier Sub-Challenge - Interspeech 2009 emotion challenge
  • Recognized as the best Electrical Engineering graduate in Chile by the Chilean School of Engineering in 2003

Fall 2025

  • 11777 - Multimodal Machine Learning