RK

Rohit Kumar

Carnegie Mellon University, Punjab Engineering College

ORCID iD 0000-0003-2806-4412
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About

Rohit builds intelligent interactive systems. The central themes of his work are amplifying human productivity and enriching human-machine interactions. Through his consulting firm (VoiceThesis), Rohit is helping organizations build the third generation of conversational AI.

Previously, Dr. Kumar was a senior researcher at Spotify and Raytheon. He built conversational systems for digital content consumption and led technology development efforts for intelligent tutoring and real-time speech translation systems. His work directly contributed to increasing system resilience against failures in speech recognition and machine translation, making translation systems rapidly adaptable for timely deployment in emergencies scenarios and deploying state-of-the-art interactive systems/components.

Dr. Kumar is a senior member of IEEE and has authored over 60 publications. He graduated from Punjab Engineering College, Chandigarh and received his PhD from Carnegie Mellon University, Pittsburgh. His dissertation studied conversational systems for improving human collaboration. He developed technologies for social interaction with machines and multi-party human-machine conversation.

Employment

Employment history is unavailable.

Education

  • Carnegie Mellon University Doctorate of Philosophy
    2007 - 2011
  • Carnegie Mellon University Master of Science
    2005 - 2007
  • Punjab Engineering College Bachelor of Engineering
    1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (91)

  • Apparatus, systems and methods for providing segues to contextualize media content
    2020
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  • Text-to-speech from media content item snippets
    2020
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  • Media content steering
    2020
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  • Augmenting Music Listening Experiences on Voice Assistants.
    ISMIR 2019
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  • Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers)
    Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers) 2019
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  • Development and application of a multi-modal task analysis to support intelligent tutoring of complex skills
    International journal of STEM education 2018
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  • ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics
    International journal of STEM education 2018
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  • Active error detection and resolution for linguistic translation
    2017
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  • TUTOR MODEL BUILDING SYSTEM
    2016
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  • Informing Authoring Best Practices Through an Analysis of Pedagogical Content and Student Behavior
    International Conference on Intelligent Tutoring Systems 2016
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