Women Researcher Award
Shanti Chandra
Indian Institute of Information Technology, Allahabad, India
Shanti Chandra is a researcher affiliated with the Indian Institute of Information Technology, Allahabad. Her indexed research record comprises 20 documents, 143 citations, and an h-index of 5. The documented work includes signal processing, biomedical signal analysis, digital filtering, and environmental monitoring applications, demonstrating a research profile that connects computational methods with practical scientific problems. Bibliographic indicators are reported through Scopus author information. [1]
Abstract
The research profile of Shanti Chandra reflects computational and signal-processing approaches applied to biomedical and environmental problems. Her documented publications address ECG signal compression and denoising, digital filter optimization, and forest-fire detection. The record combines algorithmic efficiency with application-oriented engineering, particularly through computationally efficient filtering techniques and sensor-network-based environmental monitoring. [2]
Keywords
Signal processing; ECG compression; ECG denoising; digital filters; IFIR filters; computational efficiency; forest-fire detection; environmental monitoring.
Introduction
Chandra’s publication record illustrates the use of computational methods for extracting, compressing, and interpreting information from complex signals. The research is relevant to both biomedical engineering and environmental sensing, with studies appearing in peer-reviewed journals and international conference proceedings. [3]
Research Profile
A central theme is computationally efficient digital signal processing. Research on ECG data considers compression and denoising while preserving clinically meaningful signal characteristics. Work on interpolation-free finite impulse response filtering examines coefficient reduction and stopband ripple minimization, indicating attention to implementation efficiency and filter performance. [4]
Research Contributions
- Development of computationally efficient approaches for ECG signal compression.
- Investigation of linear-phase filtering methods for ECG denoising.
- Optimization of IFIR filter coefficients to reduce stopband ripple.
- Application of sensor-network methods to forest-fire detection and early warning.
Publications
Selected publications include Computationally Efficient Cosine Modulated Filter Bank Design for ECG Signal Compression in IRBM (2020), with Coefficient Reduction Method for Stopband Ripple Minimization of IFIR Filter in IETE Journal of Research (2019), and Denoising of ECG Signal using Computationally Efficient Linear Phase Filtering, presented at ICCCNT 2019. [5]
Research Impact
The reported Scopus record of 20 documents, 143 citations, and an h-index of 5 provides a quantitative indication of scholarly visibility. The publications also demonstrate cross-application relevance, extending signal-processing research from biomedical data toward environmental detection systems. [1]
Award Suitability
The documented research record provides a substantive basis for consideration under the Women Researcher Award at the International Forensic Scientist Awards. Suitability is supported by indexed scholarly output, measurable citation impact, and research addressing computational methods with applications in health and environmental monitoring. [6]
Conclusion
Shanti Chandra’s documented scholarly profile combines digital signal-processing research with practical biomedical and environmental applications. Her publications and Scopus indicators establish a measurable research record suitable for academic recognition, while the thematic breadth of her work demonstrates continued application of computational techniques to scientific problems.
External Links
References
- Elsevier. (n.d.). Scopus author details: Shanti Chandra, Author ID 57200150419. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57200150419
- Elsevier. (2020). Computationally Efficient Cosine Modulated Filter Bank Design for ECG Signal Compression. IRBM.
https://doi.org/10.1016/j.irbm.2019.06.002
- IETE Journal of Research. (2019). Coefficient Reduction Method for Stopband Ripple Minimization of IFIR Filter.
https://doi.org/10.1080/03772063.2019.1622460
- ICCCNT. (2019). Denoising of ECG Signal using Computationally Efficient Linear Phase Filtering.
https://doi.org/10.1109/ICCCNT45670.2019.8944464
- Scopus. (2019). SN based forest fire detection and early warning system. Indexed publication record, EID 2-s2.0-85070190429.
- International Forensic Scientist Awards. (n.d.). International Forensic Scientist Awards.
forensicscientist.org
