DH
Dr. Nishi Shahnaj Haider
M S Ramaiah Institute of Technology, V. S. B. Engineering College, NIT Raipur, Karunya Institute of Technology and Sciences
About
I am a researcher actively working in the area of Biomedical signal processing and Respiratory Sound based Disease Diagnostics. I have developed suitable AI based diagnostic system designs for detection of respiratory diseases. I have published my research works in quality journals. I have reviewed more than 150 reviews for several Web of Science journals. Apart from my abilities as a potential reviewer, I have expertise to handle editorial works.
Employment
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M S Ramaiah Institute of Technology Assistant Professor2022 - Present
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V. S. B. Engineering College Associate Professor2021 - 2022
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Karunya Institute of Technology and Sciences Assistant Professor2019 - 2021
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NIT Raipur Full Time PhD Research Scholar2015 - 2019
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Bhilai Institute of Technology Raipur Assistant Professor2009 - 2015
Education
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NIT Raipur PHD2015 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- A dataset of heart sound regurgitation of patients with heart valve disorders Save
- Hybrid method for noise rejection from breath sound using transient artifact reduction algorithm and spectral subtraction Save
- Computerized respiratory sound based diagnosis of pneumonia Save
- A Brief Overview of the Respiratory Sound Based Detection of Chronic Obstructive Pulmonary Disease(COPD) Save
- Computerized lung sound based classification of asthma and chronic obstructive pulmonary disease (COPD) Save
- Respiratory sound denoising using sparsity-assisted signal smoothing algorithm Save
- Respiratory sound denoising using Empirical Mode Decomposition, Hurst analysis and Spectral Subtraction Save
- Classification of lung disorders based on lung sounds using deep learning Save
- Wearables for Respiratory Sound Classification Save
- Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm Save