Sukanta Kumar Dash

Birla Institute of Technology, Mesra

Sukanta Kumar Dash Assistant Professor, Electronics and Communication Engg M.E., Ph. D.	Contact Address
	Permanent Address	Plot No-2176, Badagada Canal Colony, BJB Nagar, P.O.-BJB Nagar, Bhubaneswar-751014, Odissa
	Local Address	D/I/33, Inner Campus, BIT Mesra
	Phone (Office)	9431597283
	Phone Residence	06512275098
	Email Id	skdash@bitmesra.ac.in
Joined Institute on : 16-Aug-2004

Work Experience
	Teaching : 20 Years Research : 5 Years

Research Areas
	Signal Processing Image Processing AI & ML Deep Learning Computer Vision

Publications

JOURNALS:

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
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
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:

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
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