Priya Narasimhan

Priya Narasimhan
Born India
Occupation Professor, Electrical and Computer Engineering, Carnegie Mellon University
Founder and CEO, YinzCam
Known for YinzCam, sports technology, distributed systems, fault tolerance

Priya Narasimhan is a Professor of Electrical & Computer Engineering at Carnegie Mellon University in Pittsburgh, Pennsylvania.[1][2] She is also the CEO and founder of YinzCam, a technology company that provides the mobile fan experience for a number of professional sports teams and leagues in the U.S.A., Canada and Australia.[3]

Biography

Narasimhan was born in India and lived in Zambia, in Africa.[4] She attended the University of California, Santa Barbara, where she completed her Ph.D. in Electrical and Computer Engineering and received the 2000 Lancaster Best Doctoral Dissertation Award.[4] In 2001, she moved to Pittsburgh to join Carnegie Mellon University as a faculty member, where her academic interests include dependable distributed systems, fault-tolerance, embedded systems, mobile systems and sports technology.[4] She became a fan of the Pittsburgh Penguins upon moving to Pittsburgh in 2001.[3] She is also a fan of the Pittsburgh Steelers.[1]

Awards

For her research, she has received a Sloan Fellowship, the National Science Foundation's CAREER Award and the Carnegie Science Emerging Female Scientist Award. For her teaching, she has received the Carnegie Mellon Benjamin Teare Teaching Award, the Lutron Electronics Spira Teaching Award and the student-voted Eta Kappa Nu Excellence in Teaching Award.[1] For her work as an entrepreneur, she has received the Global Pittsburgh's New Company Executive International Bridge Award for a CEO creating jobs in the Pittsburgh area and increasing the international visibility of Pittsburgh-based companies. Her company, YinzCam, was named by the Pittsburgh Tech Council as the winner of the 2016 Innovator of the Year in Consumer Products. She has also been named as a 2016 Gamechanger by the Sports Business Journal.

Work

Her Ph.D. research was commercialized through Eternal Systems, Inc., a company where she served as Chief Technology Officer and Vice-President of Engineering.[1] Her research led to the development of 24x7 highly available platforms and solutions for data centers and large online systems.[1]

She has been a faculty member in the Electrical and Computer Engineering Department at Carnegie Mellon University since 2001. She has served as co-director of the CyLab Mobility Research Center at Carnegie Mellon University[4] and headed the Intel Science and Technology Centre in Embedded Computing at Carnegie Mellon University. She has written and published more than 150 research papers on distributed systems and fault tolerance, research that led to the development of the Fault Tolerant CORBA industrial standard.[1]

Her interest in computers and technology for sports led her to develop mobile apps bringing real-time statistics, multimedia, streaming radio, social media, and live video feeds[5] to teams in the NFL, NBA, NHL, NRL, AFL, NBL, CFL and other sports leagues around the world. She has also worked to launch a new data platform to help sports teams understand their business operations and to improve the fan experience. She has incorporated YinzCam into her Sports Technology course at Carnegie Mellon University.[6] She has also worked to incorporate embedded systems into sports through her Football Engineering project that aimed to track the real-time trajectory of footballs, players and other equipment on the field at game-time. Through the Trinetra project, she developed mobile technologies to provide increased independence to blind people in their daily activities such as shopping, taking public transportation. Through YinzCam, she collaborated with the Pittsburgh City Council to develop and launch iBurgh, a groundbreaking mobile app to allow citizens to report complaints to the city's IT departments via smartphones.[4][7]

She had also developed AndyVision, a robot project funded by the Intel Science and Technology Center at Carnegie Mellon University that is capable of quickly inventorying merchandise and detecting out-of-stock conditions in retail environments.[8]

References

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