Harsha Yelchuri

Harsha Yelchuri

Education:

B.E. in Information Science and Engineering, R V College of Engineering.

Previous Experience:

  • Research Intern at Samsung PRISM
  • Software Engineer Intern at Boeing India Private Ltd.

Research Interest:

  • Robotics
  • Reinforcement Learning
  • Federated Learning

Projects Undertaken:

  • Digital Twin Based Intercontinental Teleoperation of Robots
  • Predictive Maintenance of solenoid valve
  • Development of a Hybrid Evaluation Metric for automatic speech recognition tasks
  • Development of a generic Federated Learning framework
  • Development of a resource-aware On-Device Personalization framework

Publications

S=In Submission, C=Conference, W=Workshop, P=Poster/Demo

  • C.1 SeMaScore: a new evaluation metric for automatic speech recognition tasks
    Zitha Sasindran, Harsha Yelchuri, T. V. Prabhakar
    Conference of the International Speech Communication Association 2024 [Interspeech 2024]
    https://arxiv.org/abs/2401.07506
  • C.2 Towards a resource-efficient semi-asynchronous federated learning for heterogeneous devices
    Zitha Sasindran, Harsha Yelchuri and T. V. Prabhakar
    30th National Conference on Communications [NCC 2024]
    https://ieeexplore.ieee.org/document/10485914
  • C.3 Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices
    Zitha Sasindran, Harsha Yelchuri, T. V. Prabhakar
    International Joint Conference on Neural Networks [IJCNN 2023]
    https://ieeexplore.ieee.org/document/10191316
  • C.4 H eval: A new hybrid evaluation metric for automatic speech recognition tasks
    Zitha Sasindran, Harsha Yelchuri, Supreeth Rao, T. V. Prabhakar
    Automatic Speech Recognition and Understanding [ASRU 2023]
    https://ieeexplore.ieee.org/document/10389717
  • C.5 MobileASR: A resource-aware on-device personalization framework for automatic speech recognition in mobile phones
    Zitha Sasindran, Harsha Yelchuri, Pooja Rao, T. V. Prabhakar
    The Third International Conference on AI ML Systems [AI-ML Systems 2023]
    https://dl.acm.org/doi/10.1145/3639856.3639876
  • P.1 SmartSV: Real-Time Solenoid Valve Diagnosis at Embedded Edge-Level
    Harsha Yelchuri, Shrutkirthi S. Godkhindi,, Prajwal BN, Vishwanath Shastry, T. V. Prabhakar
    TinyML Asia Technical Forum 2023
    16th International Conference on COMmunication Systems & NETworkS [COMSNETS 2024]
    https://ieeexplore.ieee.org/document/10427034
  • P.2 GASP: Gap Analysis for Spark Plug
    Harsha Yelchuri, Abhigna V Kumar, Siddharth Sahu, Savinay Kumar, Shrutkirthi S. Godkhindi, T. V. Prabhakar
    16th International Conference on COMmunication Systems & NETworkS [COMSNETS 2024]
    https://ieeexplore.ieee.org/document/10426893
  • S.1 A review of TinyML
    Harsha Yelchuri, Rashmi R [2023]
    https://arxiv.org/ftp/arxiv/papers/2211/2211.04448.pdf