Faculty Profile

Faculty Profile

Dr. Rashmi  Rekha  Sahoo

Dr. Rashmi Rekha Sahoo

Assistant Professor

School of Electronic Sciences

PhD(Jadavpur University), M.Tech(IIT, Kharagpur), B.Tech(CET, OUAT)

rrsahooie@outr.ac.in

+91-9439850854

OUTR, Bhubaneswar

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Contact Details

School of Electronic Sciences, OUTR

Email: rrsahooie@outr.ac.in


About / Biography

Mrs. Rashmi Rekha Sahoo currently serving as Assistant Professor in School of Electronic Sciences, Odisha University of Technology and Research (Formerly College of Engineering & Technology), Bhubaneswar. She has completed B.Tech from College of Engineering & Technology, Bhubaneswar in the year 2000, and M.tech in Instrumentation Engineering from Electrical Engineering Dept in the year 2010 from IIT, Kharagpur. She has completed her PhD from Jadavpur University, Kolkata. She has 22 years of teaching experience in various leading technical institutes at undergraduate and post graduate level. She is an Associate member of IE (India). Also Life Member of Indian Society of Systems for Science & Engineering (ISSE).

                     She has published 10 research papers in various referred International and Indian Journals and Conferences. Also guided10 number of M.Tech students. She has reviewed in some reputed journals and conferences. Her research interests includes Biomedical Instrumentation, Signal processing, Measurement systems. 

Education
PhD(Jadavpur University), M.Tech(IIT, Kharagpur), B.Tech(CET, OUAT)
Research Interest

Biomedical Instrumentation, VLSI, Signal processing, Measurement systems.

Publication
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Title Year Category Authors View
Earthquake detection and warning system for automatic cut-off of electricity and gas supply lines for safety measures. 2020 Journal Prabin Kumar Bera ,Rashmi Rekha Sahoo, Chirag Nanda
Design and Sensitivity Investigation of Dielectric Modulated and Electrolyte-Based pH Sensing of Vertical TFET Biosensor 2023 Journal Prabin Kumar Bera , Rashmi Rekha Sahoo , Rajib Kar , and Durbadal Mandal
A novel approach of Gaussian mixture model-based data compression of ECG and PPG signals for various cardiovascular diseases 2024 Journal Rashmi Rekha Sahoo , Subhajit Bhowmick , Dharmadas Mandal , Palash Kumar Kundu
Prediction of Fiducial Parameter of PPG Signal—A Comparative Study Between Radial Basis and General Regression NeuralNetwork Performance 2022 Conference Rashmi Rekha Sahoo, Palash Kumar Kundu
A Novel Approach for ECG Compression and Use of Cubic Spline Method for Reconstruction 2022 Conference Sudeshna Baliarsingh, Rashmi Rekha Sahoo & Mihir Narayan Mohanty
Classification of Cardiac Abnormality using PPG Fiducial Parameters and Probabilistic Neural Network 2022 Conference Rashmi Rekha Sahoo; Sudipta Ghosh; Aniket Lala; Palash Kumar Kundu
Prediction of ECG fiducial parameters from PPG signals for the analysis of cardiovascular diseases: A novel Gaussian process regression-based approach 2024 Journal Rashmi Rekha Sahoo, , Saibal Ghosh , Siddhartha Mani , Palash Kumar Kundu
Data Compression of Photoplethysmogram Signal for IoT Application 2022 Conference Rashmi Rekha Sahoo; Aniket Lala; Palash Kumar Kundu; Sudipta Ghosh
Comparison of ECG compression by TP and DWT method. 2020 Conference Rashmi Rekha Sahoo,Prabin Kumar Bera,Sudeshna Baliarsingh
Subjects Taught

Graduate Level: VLSI, Biomedical Instrumentation, Instrumentation, Devices and System, Process control, , Digital signal processing, Digital Electronics

Post Graduate Level: Digital Instrumentation, MEMS, VLSI

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