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Shrikanth Narayanan

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Shrikanth Narayanan
Born
New Delhi
NationalityAmerican
OccupationProfessor
AwardsGuggenheim Fellow, ISCA Medal for Scientific Achievement, IEEE SPS Claude Shannon-Harry Nyquist Technical Achievement Award, IEEE James L. Flanagan Speech and Audio Processing Award, IEEE Computer Society Edward J. McCluskey Technical Achievement 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 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 machine intelligence with speech and spoken language processing at its core. A prolific award-winning researcher, educator, and inventor, with hundreds of publications and a number of acclaimed patents to his credit, he has pioneered several research areas including in computational speech science, speech and human language technologies, audio, music and multimedia engineering, human sensing and imaging technologies, emotions research and affective computing, behavioral signal processing, and computational media intelligence. His technical contributions cover a range of applications including in defense, security, health, education, media, and the arts. His contributions continue to impact numerous domains including in human health (notably, mental and behavioral health such as addiction, developmental disorders such as Autism), national defense/intelligence, and the media arts including in using technologies that facilitate awareness and support of diversity and inclusion. His award-winning patents have contributed to the proliferation of speech technologies on the cloud and on mobile devices and in enabling novel emotion-aware artificial intelligence technologies.

Career

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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 and was recognized with its 2019 Distinguished Alumnus Award. He is a notable Alumnus from the University of California, Los Angeles, from where he obtained both an M.S. in 1990, Engineer in 1992, and Ph.D. in 1995, and was the recipient of 2011 Engineering Alumni Professional Achievement Award from UCLA. His early career was at AT&T Bell Laboratories, Murray Hill, and AT&T Research.

He is a University Professor at USC,[1] holder of the inaugural Niki and C. L. Max Nikias Chair in Engineering,[2] Vice President for Presidential Initiatives[3] 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 & Computer Engineering, Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics and Otolaryngology-Head & Neck Surgery. He is the founder and director of the USC Signal Analysis and Interpretation Laboratory (SAIL),[4] and the Ming Hsieh Institute,[5] a research director for the USC Information Sciences Institute,[6] and is a member of the Signal and Image Processing Institute.[7] In 2013, he co-founded the company Behavioral Informatix, LLC., which ultimately led to the founding of Behavioral Signal Technologies, Inc.[8] He also co-founded Lyssn, Inc. in 2017.

Notable professional honors and positions

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Shri Narayanan is a fellow of the National Academy of Inventors,[9] International Speech Communication Association (ISCA),[10] the Acoustical Society of America (ASA) in 2005,[11] the Institute of Electrical and Electronics Engineers (IEEE),[12] the American Association for the Advancement of Science (AAAS),[13] the Association for Psychological Science (APS),[14] the American Institute for Medical and Biological Engineering (AIMBE),[15] Association for the Advancement of Affective Computing (AAAC) and the Association for Computing Machinery (ACM).[16] He was elected a Distinguished Lecturer by the IEEE Signal Processing Society[17] and the International Speech Communication Association,[18] and served as the American Speech-Language-Hearing Association (ASHA)’s Willard Zemlin Lecturer in 2017. He was awarded the Guggenheim fellowship[19] and elected to the European Academy of Sciences and Arts in 2022.[20] His work has been presented in numerous distinguished and keynote lectures worldwide. He also currently serves as an Editor for the Computer, Speech and Language Journal[21] (2008–present), having served as editor-in-chief of the IEEE Journal on Selected Topics in Signal Processing[22] (2016–present) (2016–2018), and as an Associate Editor for numerous journals.[23]

He has won numerous research and best paper awards including the 2025 IEEE James L. Flanagan Speech and Audio Processing Award,[24] 2024 Edward J. McCluskey Technical Achievement Award from the IEEE Computer Society,[25] the 2023 ISCA Medal for Scientific Achievement award,[26] the 2023 Claude Shannon-Harry Nyquist Technical Achievement Award from the IEEE Signal Processing Society,[27] 2023 Richard Deswarte Prize in Digital History,[28] two IEEE Signal Processing Society Best Transactions Paper awards (2005, 2009), an International Speech Communication Association Journal paper award (2018), six Interspeech Challenge awards, a 2015 Ten Year Technical Impact Award from ACM ICMI, a 2015 Distinguished Engineering Educator Award and a 2020 Sustained Accomplishment Award from ACM ICMI.[29]

His work has been widely featured in national and international print and broadcast media including the NY Times, LA Times, The Time of London, The Washington Post, the Wall Street Journal, Financial Times, CNN, ABC, NBC, Fox, BBC and Wired. He was named by LA Weekly as one of their "fascinating angelenos" for their People 2013 issue.[30]

Behavioral Signal Technologies

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Shri Narayanan co-founded Behavioral Signal Technologies Inc. in 2016 with colleagues Alex Potamianos and Prem Natarajan.[31] The company specializes in emotion recognition in speech,[32] predictive and omni-channel behavioural analytics applying Behavioral Signal Processing (BSP)[33] technologies in diverse industries. He serves as its Chief Scientist.[citation needed]

As a precursor to this, Shri Narayanan had co-founded the company Behavioral Informatix in 2013 with his colleagues Matt Black and Alex Potamianos[34] The company specializes in using Behavioral Signal Processing (BSP).[35] The company specializes in using Behavioral Signal Processing (BSP) techniques to help personalize user experiences and assist in decision-making for the healthcare industry.[36]

Lyssn

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Shri Narayanan co-founded Lyssn[37] in 2017, a technology company focused on mental health care delivery, treatment and quality assurance.

References

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  1. ^ "University Professors". provost.usc.edu. Retrieved 29 December 2020.
  2. ^ "Shri Narayanan named first holder of the Niki and C. L. Max Nikias Chair in Engineering". news.usc.edu/. 23 February 2017. Retrieved 29 December 2020.
  3. ^ "Shri Narayanan named USC vice president for presidential initiatives". today.usc.edu/. 22 February 2024. Retrieved 10 March 2024.
  4. ^ "Signal Analysis and Interpretation Laboratory". Sail.usc.edu. Retrieved 19 June 2019.
  5. ^ "Ming Hsieh Institute". Minghsiehece.usc.edu. Retrieved 19 June 2019.
  6. ^ "Information Sciences Institute". Isi.edu. Retrieved 19 June 2019.
  7. ^ "Signal and Image Processing Institute". Minghsiehece.usc.edu. Retrieved 19 June 2019.
  8. ^ "Behavioral Signal Technologies". Behavioralsciences.com. Retrieved 19 June 2019.
  9. ^ "USC News". News.usc.edu. 13 December 2016.
  10. ^ "Fellows 2016". Isca-speech.org. Retrieved 20 September 2016.
  11. ^ "Fellows of the Society". Acousticalsociety.org. Retrieved 28 February 2016.
  12. ^ "IEEE IEEE Fellows Directory". Ieee.org. Retrieved 28 February 2016.
  13. ^ "Fellows 2016". Isca-speech.org. Retrieved 21 June 2019.
  14. ^ "APS Fellows". Association for Psychological Science. Retrieved 21 June 2019.
  15. ^ "Fellow Directory". Aimbe.org. Retrieved 21 June 2019.
  16. ^ "Prof. Shrikanth Narayanan". awards.acm.org. Retrieved 2 February 2024.
  17. ^ "Past Lecturers". IEEE Signal Processing Society. 16 December 2015. Retrieved 21 June 2019.
  18. ^ "USC Ming Hsieh Department of Electrical Engineering - Shrikanth S. Narayanan". Ee.usc.edu. Retrieved 28 February 2016.
  19. ^ "Shrikanth Narayanan - John Simon Guggenheim Memorial Foundation". www.gf.org. Retrieved 18 April 2022.
  20. ^ "European Academy of Sciences and Arts". euro-acad.eu. Retrieved 29 March 2023.
  21. ^ "Computer Speech and Language Editorial Board". Journals.elsevier.com. Retrieved 28 February 2016.
  22. ^ "IEEE Xplore: IEEE Journal of Selected Topics in Signal Processing". IEEE. Retrieved 28 February 2016.
  23. ^ "USC Ming Hsieh Department of Electrical Engineering - Shrikanth S. Narayanan". Ee.usc.edu. Retrieved 28 February 2016.
  24. ^ "IEEE James L. Flanagan Speech and Audio Processing Award". IEEE. Retrieved 7 August 2024.
  25. ^ "Edward J. McCluskey Technical Achievement Award". computer.org. 9 April 2018. Retrieved 4 February 2024.
  26. ^ "International Speech Communication Association". isca-speech.org. Retrieved 4 February 2024.
  27. ^ "Signal Processing Society Awardees". signalprocessingsociety.org. 16 December 2015. Retrieved 4 February 2024.
  28. ^ "The 2024 Richard Deswarte Prize in Digital History". ihrdighist.blogs.sas.ac.uk. 20 December 2021. Retrieved 4 February 2024.
  29. ^ "ICMI 2020 Awards". icmi.acm.org/. Retrieved 29 December 2020.
  30. ^ Gropman, Adam (15 May 2013). "Shrikanth Narayanan: USC's People Reader". Laweekly.com. Retrieved 28 February 2016.
  31. ^ "Oliver API - The fastest evolving robust emotion AI engine". Behavioral Signals. Retrieved 21 June 2019.
  32. ^ "This artificial intelligence can predict your mood". Marketwatch.com. 24 May 2018. Retrieved 1 June 2018.
  33. ^ 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.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  34. ^ "Behavioral Informatix". Behavioralinformatix.com. Retrieved 28 February 2016.
  35. ^ Narayanan, Shrikanth; Georgiou, Panayiotis G. (7 February 2013). "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.
  36. ^ "About Us | Behavioral Informatix". Behavioralinformatix.com. Retrieved 28 February 2016.
  37. ^ "Lyssn: Intelligent Psychotherapy Assessment". Lyssn.io. Retrieved 21 June 2019.

29. https://www.newsindiatimes.com/several-indian-americans-among-2022-guggenheim-fellows/

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