Shrikanth Narayanan

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search
Shrikanth Narayanan
ShriNarayanan-USC-2015.jpg
Born
New Delhi
NationalityAmerican
OccupationProfessor
AwardsIEEE Signal Processing Society Paper Awards, ISCA Paper Award, Mellon Mentoring Award, Engineer's Council Distinguished Engineering Educator
Academic background
EducationPh.D, M.S., B.E.
Alma materUniversity of California, Los Angeles, College of Engineering, Guindy
Doctoral advisorAbeer Alwan
Academic work
DisciplineScientist, Engineer
InstitutionsUniversity of Southern California, AT&T Labs-Research
Notable worksBehavioral Signal Processing, Speech Imaging, Affective Computing

Shrikanth (Shri) Narayanan is an Indian-American Professor at the University of Southern California. He is an interdisciplinary engineer-scientist with a focus on human-centered signal processing and informatics with speech and spoken language processing at its core. A prolific award-winning researcher, educator and inventor, with hundreds of publications to his credit, he has pioneered a number of research areas including in computational speech science, speech and human language technologies, audio and music, and behavioral signal processing and informatics. His technical contributions cover a range of domains including defense, security, health, education, media, and the arts. His work has been widely featured in national and international print and broadcast media including the NY Times, LA Times, Wall Street Journal, Financial Times, CNN, ABC, NBC, BBC and Wired.

Career[edit]

Shri Narayanan was born in New Delhi, India (1967), and grew up in Madras (Chennai). He received his bachelor's degree in Electrical Engineering from the College of Engineering-Guindy in 1988. He obtained M.S. in 1990, Engineer in 1992, and Ph.D. in 1995, all from the University of California, Los Angeles (UCLA). His early career was at AT&T Bell Laboratories, Murray Hill, and AT&T Research.

He is the inaugural Niki and C. L. Max Nikias Chair in Engineering and was the inaugural holder of the Andrew J. Viterbi Professorship in Engineering (2007-2016) at the University of Southern California (USC), where he holds appointments in Departments of Electrical Engineering, Computer Science, Linguistics, Psychology, Neuroscience and Pediatrics. He is the founder and director of the USC Signal Analysis and Interpretation Laboratory and the Ming Hsieh Institute, and is a member of the Signal and Image Processing Institute. In 2013, he co-founded the company Behavioral Informatix, LLC. In 2016, he co-founded the company Behavioral Signal Technologies, Inc.

He also currently serves as Editor-in-Chief of the IEEE Journal on Selected Topics in Signal Processing,[1] (2016–present) Editor for the Computer, Speech and Language Journal[2] (2008–present) and currently serves/has served as an Associate Editor for numerous journals.[3]

Notable Professional Honors and Positions[edit]

Shri Narayanan is a fellow of the National Academy of Inventors,[4] International Speech Communication Association (ISCA),[5] the Acoustical Society of America (ASA),[6] the Institute of Electrical and Electronics Engineers (IEEE),[7] the American Association for the Advancement of Science (AAAS)[8], and the Association for Psychological Science (APS)[9]. He was elected a Distinguished Lecturer by the IEEE Signal Processing Society[10] and the International Speech Communication Association.[11]

He has won numerous research and best paper awards including two IEEE Signal Processing Society Best Transactions Paper awards (2005, 2009), six Interspeech Challenge awards, a 2015 Ten Year Technical Impact Award from ACM ICMI and a 2015 Distinguished Engineering Educator Award. His work has been presented in distinguished and keynote lectures.

He was named by LA Weekly as one of their "fascinating angelenos" for their People 2013 issue.[12]

Behavioral Informatix[edit]

Shri Narayanan co-founded the company Behavioral Informatix in 2013 with his colleagues Matt Black and Alex Potamianos.[13] The company specializes in using Behavioral Signal Processing (BSP)[14] techniques to help personalize user experiences and assist in decision-making for the healthcare industry.[15]

Behavioral Signal Technologies[edit]

Shri Narayanan co-founded Behavioral Signal Technologies Inc. in 2016 with colleagues Alex Potamianos and Prem Natarajan.[16] The company specializes in emotion recognition in speech,[17] predictive and omni-channel behavioural analytics applying Behavioral Signal Processing (BSP)[18] technologies in diverse industries.

Lyssn[edit]

Shri Narayanan co-founded Lyssn[19], a technology company focused on improving the quality of mental health and addiction therapy in 2018 and is its Chief Science Officer.

References[edit]

  1. ^ "IEEE Xplore: IEEE Journal of Selected Topics in Signal Processing". ieeexplore.ieee.org. Retrieved 2016-02-28.
  2. ^ "Computer Speech and Language Editorial Board". Elsevier. Retrieved 2016-02-28.
  3. ^ "USC Ming Hsieh Department of Electrical Engineering - Shrikanth S. Narayanan". ee.usc.edu. Retrieved 2016-02-28.
  4. ^ "USC News". news.usc.edu.
  5. ^ "Fellows 2016". isca-speech.org. Retrieved 2016-09-20.
  6. ^ "Fellows of the Society | ASA". acousticalsociety.org. Retrieved 2016-02-28.
  7. ^ "IEEE IEEE Fellows Directory". www.ieee.org. Retrieved 2016-02-28.
  8. ^ "Fellows 2016--ISCA" http://www.isca-speech.org/iscaweb/index.php/honors/fellows?id=182
  9. ^ https://www.psychologicalscience.org/members/fellows
  10. ^ "Past Lecturers -- IEEE Signal Processing Society" http://signalprocessingsociety.org/community/lectures/past-lecturers
  11. ^ "USC Ming Hsieh Department of Electrical Engineering - Shrikanth S. Narayanan". ee.usc.edu. Retrieved 2016-02-28.
  12. ^ Gropman, Adam. "Shrikanth Narayanan: USC's People Reader". L.A. Weekly. Retrieved 2016-02-28.
  13. ^ "Behavioral Informatix". www.behavioralinformatix.com. Retrieved 2016-02-28.
  14. ^ Narayanan, Shrikanth; Georgiou, Panayiotis G. (2013-02-07). "Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language: Computational techniques are presented to analyze and model expressed and perceived human behavior-variedly characterized as typical, atypical, distressed, and disordered-from speech and language cues and their applications in health, commerce, education, and beyond". Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. 101 (5): 1203–1233. doi:10.1109/JPROC.2012.2236291. ISSN 0018-9219. PMC 3769794. PMID 24039277.
  15. ^ "About Us | Behavioral Informatix". www.behavioralinformatix.com. Retrieved 2016-02-28.
  16. ^ "Behavioral Signal Technologies" http://behavioralsignals.com
  17. ^ "This artificial intelligence can predict your mood". Market Watch. 2018-05-24. Retrieved 2018-06-01.
  18. ^ Daniel Bone, Chi-Chun Lee, Theodora Chaspari, James Gibson, Shrikanth Narayanan (September 2017). "Signal Processing and Machine Learning for Mental Health Research and Clinical Applications" (PDF). IEEE Signal Processing Magazine. 1053-5888/17©2017IEEE: 186–195.
  19. ^ "Lyssn" https://lyssn.io/