Birla Institute of Technology, Mesra
Faculty Image

Sukanta Kumar Dash

Joined Institute on : 16-Aug-2004

  • Assistant Professor
  • Electronics and Communication Engg
  • M.E., Ph. D.
Contact Address

D/I/33, Inner Campus, BIT Mesra

Plot No-2176, Badagada Canal Colony, BJB Nagar, P.O.-BJB Nagar, Bhubaneswar-751014, Odissa

  • Phone Office - 9431597283
  • Phone Residence - 06512275098
  • Email - skdash@bitmesra.ac.in
Work Experience

Teaching : 20 Years

Research : 5 Years

Individual: 5 Years
Research Areas
  • Audio Signal Processing
  • Biomedical Signal Processing
  • Digital Image Processing
  • Computer Vision
  • AIML & Deep Learning
Publications

JOURNALS:

  1. S. K. Dash, S. S. Solanki, and S. Chakraborty, “S. K. Dash, S. S. Solanki, and S. Chakraborty, “Deep Convolutional Neural Networks for Predominant Instrument Recognition in Polyphonic Music Using Discrete Wavelet Transform,” Circuits, Systems, and Signal Processing, vol. 43, no. 7, pp. 4239–4271, Mar. 2024. https://doi.org/10.1007/s00034-024-02641-1
  2. S. K. Dash, S. S. Solanki, and S. Chakraborty, “A Comprehensive Review on Audio based Musical Instrument Recognition: Human-Machine Interaction Towards Industry 4.0,” Journal of Scientific & Industrial Research, vol. 82, no. 01, pp. 26-37, Jan. 2023. https://doi.org/10.56042/jsir.v82i1.70251 
  3. Aakash, S. K. Dash, S. K. Rout, and V. R. Gupta. "Design of a S Band Circularly Polarized Microstrip Patch Antenna Using Ferrite Disk." Microwave Review 23, no. 1 (2017). http://www.mtt-serbia.org.rs/files/

 

CONFERENCES:

  1. S. K. Dash, S. S. Solanki, and S. Chakraborty, “CNN-ML Framework-Based Predominant Musical Instrument Recognition Using Mel-Spectrogram,” Computational Intelligence in Communications and Business Analytics, pp. 332–343, 2025, https://doi.org/10.1007/978-3-031-81339-9_28
  2. S. K. Dash, S. S. Solanki, and S. Chakraborty, “Predominant Musical Instrument Identification Using Deep Hybrid Neural Networks,” Signal Processing, Telecommunication and Embedded Systems with AI and ML Applications, pp. 389–403, Dec. 2024. https://doi.org/10.1007/978-981-97-8422-6_32
  3. S. K. Dash, S. S. Solanki, and S. Chakraborty, “Predominant Instrument Recognition in Polyphonic Music Using Hybrid-CNN Model Algorithm,” Smart Computing Paradigms: Sustainable Computing, pp. 393–406, July 2025. https://doi.org/10.1007/978-981-96-3939-7_34