Dr. Rupesh Mahamune

Dr. Rupesh Mahamune

Assistant Professor
Email/Mobile No. :Email: rsmahamune@ssgmce.ac.in
Phone: 7898046095
ACADEMIC QUALIFICATION

PhD (Thesis submitted), M.Tech (VLSI), B.E. (Electronics and Telecommunication Eng.)
AREA OF SPECIALIZATION Biomedical signal and image processing, VLSI, signal processing
EXPERIENCE

Teaching: - 12 years
Research-5 years
COURSES TAUGHT
  • Electromagnetic wave
  • Industrial instrumentation
  • Embedded system
  • Microcontroller
  • Microprocessor
  • Object oriented programming
ORCID ID/ SCOPUS ID/ Web of Science ID/ VIDWAN ID/ RESEARCHER ID/Google Scholar ID:
MEMBERSHIP

Associate member of IETE
PUBLICATIONS
  • Rupesh Mahamune, S. H. Laskar. �Classification of the four-class motor imagery signals using continuous wavelet transform filter bank-based two-dimensional images.� International Journal of Imaging Systems and Technology. 2021 May 3. Doi: https://doi.org/10.1002/ima.22593
  • Mahamune, R. and Laskar, S.H., An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain�computer interfacing. International Journal of Imaging Systems and Technology, 2022. Doi:https://onlinelibrary.wiley.com/doi/abs/10.1002/ima.22821.
  • Kant, P., Laskar, S.H., Hazarika, J. and Mahamune, R., 2020. CWT Based transfer learning for motor imagery classification for brain computer interfaces. Journal of Neuroscience Methods, 345, p.108886
  • Dharmale, N., Chaudhury, S., Mahamune, R. and Dash, D., 2020. Comparative study on structural, electronic, optical and mechanical properties of normal and high pressure phases titanium dioxide using DFT." Materials Research Express 7.5 (2020): 054004.DOI:- https://doi.org/10.1088/2053-1591/ab8d5c.
RESEARCH AND DEVELOPMENT
RESEARCH GUIDANCE
FDP/STTP/Workshop/Training Programme Attended / Organized
FELLOWSHIP / AWARD
OTHER

Expert Talk Delivered (Technical = 02 + Other skill = 3