Shriram Revankar

SVP, Advanced Technology Group, Dolby Laboratories

Role
Senior Vice President, Advanced Technology Group at Dolby Laboratories
Location
San Jose, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Shriram Revankar

Delivered array of innovative technologies to world wide products and enterprise services • Nurtured leaders & mentored diverse inclusive multinational teams• Demonstrated capability leverage both business and technology aspects of novel opportunities. • Led research and development organizations and successfully managed them through change• Developed technology strategy and vision to guide the organization through digital, mobile, cloud and AI revolutions

Experience

  1. Senior Vice President, Advanced Technology Group

    Dolby Laboratories

    May 2022 — Present · San Francisco, CA, US

    Inventing deep technology that transports its users into the content they consume, enabling them to be fully immersed in it - whether it\'s the music they\'re listening, a scene they\'re watching, or a story they’re reading on social media. Research interests include content intelligence driven immersive sight and sound experiences; augmented, virtual and extended reality media; photo-realistic 3D and 6-DOF experiences; multimodal generative content; creator-consumer-context driven

Education

  • Indian Institute of Technology, Madras

    M.S., Computer Science and Engineering

    1985 — 1987

  • University of Mysore

    B.E., Electronics and Communications

    1980 — 1984

  • University at Buffalo

    Ph.D, Computer Science, Computer Vision, Image Processing, Signal Processing

    1987 — 1992

Skills

  • Uml
  • Xml
  • J2ee
  • Object Oriented Design
  • Xml Schema
  • Business Intelligence
  • Architectures
  • Agile Methodologies
  • Architecture
  • Analytics
  • Embedded Systems
  • Algorithms
  • C++
  • Distributed Systems
  • IT Strategy
  • Java Enterprise Edition
  • Integration
  • C
  • Management
  • Program Management
  • Machine Learning
  • Mobile Devices
  • Leadership
  • Big Data

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