Dr. Rashmi Rekha Sahoo Assistant Professor
- +91-9439850854
- PhD
- rrsahooie@outr.ac.in
- 30-Nov--0001
About
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.
Research Interest
Biomedical Instrumentation, VLSI, Signal processing, Measurement systems.
Publication
| 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 | View |
| 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 | View |
| 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 | View |
| 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 | View |
| 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 | View |
| A Novel Approach for ECG Compression and Use of Cubic Spline Method for Reconstruction | 2022 | Conference | Sudeshna Baliarsingh, Rashmi Rekha Sahoo & Mihir Narayan Mohanty | View |
| Classification of Cardiac Abnormality using PPG Fiducial Parameters and Probabilistic Neural Network | 2022 | Conference | Rashmi Rekha Sahoo; Sudipta Ghosh; Aniket Lala; Palash Kumar Kundu | View |
| Data Compression of Photoplethysmogram Signal for IoT Application | 2022 | Conference | Rashmi Rekha Sahoo; Aniket Lala; Palash Kumar Kundu; Sudipta Ghosh | View |
| Comparison of ECG compression by TP and DWT method. | 2020 | Conference | Rashmi Rekha Sahoo,Prabin Kumar Bera,Sudeshna Baliarsingh | View |
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