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Arvind Kumar

Arvind Kumar

Assistant Professor

Department of Electrical Electronics and Communication Engineering

GITAM School of Technology

Bengaluru

Education

Ph. D.

Dr. Arvind Kumar is an Assistant Professor at GITAM University, with expertise in signal processing, AI, and embedded systems. He earned his B.E. from Pune University and completed his M.Tech and PhD with distinction from BIT Mesra. His research focuses on speech, music, and biomedical signals. A passionate musician and educator, he blends technology and creativity to mentor students and drive impactful innovation.

Research Publications

  • Arvind Kumar, Kumar, R., & Chandra, M. (2025). Enhanced audio classification leveraging pre-trained deep visual models. Engineering Applications of Artificial Intelligence, 144, 110130.
  • Arvind Kumar, Karan, B., Solanki, S. S., Chandra, M., & Singh, D. K. (2024). Automatic tuning of radio stations based on listeners preference using Software Defined Radio and MATLAB. Engineering Applications of Artificial Intelligence, 137, 109117.
  • Arvind Kumar, Solanki, S. S., & Chandra, M. (2022). Stacked auto-encoders based visual features for speech/music classification. Expert Systems with Applications, 118041.
  • Arvind Kumar and Mahesh Chandra. Empirical mode decomposition based statistical features for discrimination of speech and low frequency music signal. Multimedia Tools and Applications (2022):1-26
  • Arvind Kumar, Solanki, S.S. and Chandra, M., 2022. Effect of background Indian music on performance of speech recognition models for Hindi databases. International Journal of Speech Technology, pp.1-12.

Ongoing Research Projects

  • Check Icon Impact of Indian musical ragas on growth of plants
  • Check Icon Machine learning algorithms for healthy ratings from nutrition information
  • Check Icon Machine learning approaches for soil characterization and fertilizer suggestion

Expertise

  • Check Icon Music Information Retrieval
  • Check Icon Audio Signal Processing
  • Check Icon ASR for Indian Languages
  • Check Icon Machine Learning for Signal Processing
  • Check Icon Embedded System for Signal Processing Applications
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