Shrikanth Narayanan | |
|---|---|
 | |
| Born | New Delhi |
| Nationality | American |
| Occupation | Professor |
| 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 |
| Academic background | |
| Education | Ph.D, M.S., B.E. |
| Alma mater | University of California, Los Angeles, College of Engineering, Guindy |
| Doctoral advisor | Abeer Alwan |
| Academic work | |
| Discipline | Scientist, Engineer |
| Institutions | University of Southern California, AT&T Labs-Research |
| Notable works | Behavioral 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.