Dr. Dinesh Kumar Dash

Dr. Dinesh Kumar Dash

Name : Dr. Dinesh Kumar Dash
Designation : Associate Professor
Phone No. : NA
Email Id : [email protected]
Date of Joining : 30.09.2010

B.Tech (CET, BBSR)

ME (IIEST, formerly BESU Shibpur)

Ph.D. (Jadavpur University, Kolkata) 

Electronic Device Modeling

PMEC – Since 30.09.2010

Basic Electronics, Analog Electronics, Digital Electronics, Microprocessor and Microcontroller, Signals and Systems

Young Scientists’ Colloquium award-2017, Best Presented Paper Awards at ICCDN-2017 and GUCON-2018, University Foundation Day Research Award (Faculty)-2020, Elite with Gold in NPTEL online certification for the course Designing Learner- Centric MOOCs during Jan-Feb 2021, Elite plus Gold with Topper in NPTEL online certification for the course DEC during Jan-Apr 2021.

Superintendent of Boys’ Hostel-III

[1] P. Saha and D. K. Dash, “Analytical modeling approach to drain current characterization of ionization irradiated dual material trigate TFET,” Micro and Nanostructures, vol. 166, p. 207220, Jun. 2022.

[2] J. Karhade, S. Dash, S. K. Ghosh, D. K. Dash, and R. K. Tripathy, “Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using PCG signals,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1–11, Art. no. 2506311, 2022.

[3] S. Dash, R. K. Tripathy, D. K. Dash, G. Panda, and R. B. Pachori, “Multiscale domain gradient boosting models for the automated recognition of imagined vowels using multichannel EEG signals,” IEEE Sensors Letters, vol. 6, no. 11, pp. 1–4, Art. no. 7004804, Nov. 2022.

[4] A. Gade, D. K. Dash, T. M. Kumari, S. K. Ghosh, R. K. Tripathy, and R. B. Pachori, “Multiscale analysis domain interpretable deep neural network for detection of breast cancer using thermogram images,” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1–13, Art. no. 4011213, 2023.

[5] R. K. Tripathy, D. K. Dash, S. K. Ghosh, and R. B. Pachori, “Detection of different stages of anxiety from single-channel wearable ECG sensor signal using Fourier–Bessel domain adaptive wavelet transform,” IEEE Sensors Letters, vol. 7, no. 5, pp. 1–4, Art. no. 7002304, May 2023.

[6] S. Bhaskarpandit, A. Gade, S. Dash, D. K. Dash, R. K. Tripathy, and R. B. Pachori, “Detection of myocardial infarction from 12-lead ECG trace images using eigendomain deep representation learning,” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1–12, Art. no. 4001812, 2023.

Department of ETC,

Parala Maharaja Engineering College, Berhampur

Odisha – 761003