Shrikanth Narayanan Explained

Birth Place:New Delhi
Nationality:American
Occupation:Professor
Discipline:Scientist, Engineer
Education:Ph.D, M.S., B.E.
Alma Mater:University of California, Los Angeles, College of Engineering, Guindy
Doctoral Advisor:Abeer Alwan
Workplaces:University of Southern California, AT&T Labs-Research
Notable Works:Behavioral Signal Processing, Speech Imaging, Affective Computing
Awards:Guggenheim 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

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

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

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. McCluskeyTechnical 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

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.

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

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

References

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

Notes and References

  1. Web site: University Professors. provost.usc.edu. 2020-12-29.
  2. Web site: Shri Narayanan named first holder of the Niki and C. L. Max Nikias Chair in Engineering . news.usc.edu/. 23 February 2017 . 2020-12-29.
  3. Web site: Shri Narayanan named USC vice president for presidential initiatives . today.usc.edu/. 22 February 2024 . 2024-03-10.
  4. Web site: Signal Analysis and Interpretation Laboratory. Sail.usc.edu. 2019-06-19.
  5. Web site: Ming Hsieh Institute. Minghsiehece.usc.edu. 2019-06-19.
  6. Web site: Information Sciences Institute. Isi.edu. 2019-06-19.
  7. Web site: Signal and Image Processing Institute. Minghsiehece.usc.edu. 2019-06-19.
  8. Web site: Behavioral Signal Technologies. Behavioralsciences.com. 2019-06-19.
  9. Web site: USC News. News.usc.edu. 2016-12-13.
  10. Web site: Fellows 2016. Isca-speech.org. 2016-09-20.
  11. Web site: Fellows of the Society. Acousticalsociety.org. 2016-02-28.
  12. Web site: IEEE IEEE Fellows Directory. Ieee.org. 2016-02-28.
  13. Web site: Fellows 2016. Isca-speech.org. 21 June 2019.
  14. Web site: APS Fellows. Association for Psychological Science. 21 June 2019.
  15. Web site: Fellow Directory . Aimbe.org. 21 June 2019.
  16. Web site: Prof. Shrikanth Narayanan . awards.acm.org. 2 February 2024.
  17. Web site: Past Lecturers. 16 December 2015. IEEE Signal Processing Society. 21 June 2019.
  18. Web site: USC Ming Hsieh Department of Electrical Engineering - Shrikanth S. Narayanan. Ee.usc.edu. 2016-02-28.
  19. Web site: Shrikanth Narayanan - John Simon Guggenheim Memorial Foundation. www.gf.org. 2022-04-18.
  20. Web site: European Academy of Sciences and Arts. euro-acad.eu. 2023-03-29.
  21. Web site: Computer Speech and Language Editorial Board. Journals.elsevier.com. 2016-02-28.
  22. Web site: IEEE Xplore: IEEE Journal of Selected Topics in Signal Processing. IEEE. 2016-02-28.
  23. Web site: USC Ming Hsieh Department of Electrical Engineering - Shrikanth S. Narayanan. Ee.usc.edu. 2016-02-28.
  24. Web site: IEEE James L. Flanagan Speech and Audio Processing Award. ieee.org. 2024-08-07.
  25. Web site: Edward J. McCluskey Technical Achievement Award. computer.org. 9 April 2018. 2024-02-04.
  26. Web site: International Speech Communication Association. isca-speech.org. 2024-02-04.
  27. Web site: Signal Processing Society Awardees. signalprocessingsociety.org. 16 December 2015. 2024-02-04.
  28. Web site: The 2024 Richard Deswarte Prize in Digital History. ihrdighist.blogs.sas.ac.uk. 20 December 2021. 2024-02-04.
  29. Web site: ICMI 2020 Awards. icmi.acm.org/. 2020-12-29.
  30. Web site: Shrikanth Narayanan: USC's People Reader. Gropman. Adam. Laweekly.com. 2016-02-28. 2013-05-15.
  31. Web site: Oliver API - The fastest evolving robust emotion AI engine. Behavioral Signals. 21 June 2019.
  32. News: This artificial intelligence can predict your mood. 2018-05-24. Marketwatch.com. 2018-06-01.
  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. IEEE Signal Processing Magazine. 1053-5888/17©2017IEEE. 186–195.
  34. Web site: Behavioral Informatix. Behavioralinformatix.com. 2016-02-28.
  35. 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. 10.1109/JPROC.2012.2236291. 0018-9219. 3769794. 24039277.
  36. Web site: About Us Behavioral Informatix. Behavioralinformatix.com. 2016-02-28.
  37. Web site: Lyssn: Intelligent Psychotherapy Assessment. Lyssn.io. 21 June 2019.