Dr. Malaya Nath | Signal Processing | Best Researcher Award

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Dr. Malaya Nath | Signal Processing | Best Researcher Award

Assistant Professor | National Institute of Technology Puducherry | India

Dr. Malaya Kumar Nath is an accomplished researcher and academician in the field of Electronics and Communication Engineering, specializing in Biomedical Signal and Image Processing, Pattern Recognition, Deep Learning, and Computational Neuroscience. His research primarily focuses on developing advanced computational models for medical image analysis, disease diagnosis, and intelligent healthcare systems using signal and image processing techniques integrated with artificial intelligence. Dr. Nath has significantly contributed to diagnostic automation through the application of deep learning architectures such as CNNs and EfficientNet for skin cancer, glaucoma, and retinal image analysis. His scholarly contributions have earned him recognition among the Top two percentage most influential scientists worldwide, as reported by Stanford University and Elsevier in 2025. He has an extensive publication record, with 69 Scopus-indexed documents and over 1,291 citations by 902 documents, achieving an h-index of 21 on Scopus. On Google Scholar, he has accumulated 2,185 citations with an h-index of 24 and an i10-index of 47, reflecting his impactful research influence. His interdisciplinary research integrates biomedical data analytics with machine learning and deep neural frameworks, addressing challenges in medical imaging and healthcare informatics.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Keerthana, D., Venugopal, V., Nath, M. K., & Mishra, M. (2023). Hybrid convolutional neural networks with SVM classifier for classification of skin cancer. Biomedical Engineering Advances, 5, 100069.

Anbalagan, T., Nath, M. K., Vijayalakshmi, D., & Anbalagan, A. (2023). Analysis of various techniques for ECG signal in healthcare, past, present, and future. Biomedical Engineering Advances, 6, 100089.

Elangovan, P., & Nath, M. K. (2021). Glaucoma assessment from color fundus images using convolutional neural network. International Journal of Imaging Systems and Technology, 31(2), 955–971.

Vijayalakshmi, D., & Nath, M. K. (2020). A comprehensive survey on image contrast enhancement techniques in spatial domain. Sensing and Imaging, 21(1), 40.

Venugopal, V., Raj, N. I., Nath, M. K., & Stephen, N. (2023). A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images. Decision Analytics Journal, 8, 100278.

Yashi Zhou | Signal Processing | Best Researcher Award

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Prof. Dr. Yashi Zhou | Signal Processing | Best Researcher Award

Prof. Dr. Yashi Zhou | Senior Engineer | China Academy of Space Technology | China

Yashi Zhou is a Chinese researcher and senior engineer specializing in synthetic aperture radar (SAR) signal processing. He received his B.S. degree in electronic information science and technology from Central South University in 2016 and earned his Ph.D. in space microwave remote sensing systems from the Institute of Electronics, Chinese Academy of Sciences in 2021. He currently works at the Institute of Remote Sensing Satellite, China Academy of Space Technology. With notable contributions in high-resolution, wide-swath SAR technologies, Dr. Zhou has published widely in top conferences and journals. His research integrates technical innovation and practical applications in remote sensing systems.

Publication Profile

ORCID

Education Background

Yashi Zhou completed his undergraduate studies at Central South University, earning a B.S. in electronic information science and technology in 2016. He then pursued his doctoral education at the University of Chinese Academy of Sciences, affiliated with the Institute of Electronics, where he focused on space microwave remote sensing systems and SAR imaging. He received his Ph.D. degree in 2021. His academic background provided a solid foundation in advanced electronic systems, signal processing, and synthetic aperture radar technologies, which now serve as the basis of his engineering and research work in satellite-based remote sensing.

Professional Experience

After receiving his Ph.D., Yashi Zhou joined the Institute of Remote Sensing Satellite at the China Academy of Space Technology in Beijing as a senior engineer. In this role, he has been actively engaged in developing and deploying cutting-edge SAR systems. His work focuses on the design and implementation of wide-swath and high-resolution imaging modes, as well as digital beamforming technologies. Dr. Zhou has collaborated with multidisciplinary teams in both research and application-driven projects, playing a key role in airborne and satellite-based SAR missions and contributing to the advancement of China’s remote sensing capabilities.

Awards and Honors

In recognition of his outstanding contributions to SAR signal processing and remote sensing technology, Yashi Zhou was awarded the Youth Talent Program by the China Association for Science and Technology in 2023. This prestigious national honor acknowledges promising early-career researchers who demonstrate leadership in science and technology innovation. The award underscores Dr. Zhou’s impact and potential in the field, highlighting his role in pushing the boundaries of synthetic aperture radar technologies, particularly in the areas of wide-swath imaging, multichannel systems, and frequency diverse arrays.

Research Focus

Dr. Yashi Zhou’s research focuses primarily on high-resolution and wide-swath synthetic aperture radar (SAR) signal processing and its application in real-world systems. His expertise includes digital beamforming (DBF), multichannel SAR, frequency diverse arrays, and airborne X-band SAR technologies. His work aims to resolve long-standing challenges in SAR imaging, such as phase bias, channel calibration, and Doppler centroid estimation. By integrating theoretical models with experimental data from platforms like the GF-3 satellite and airborne systems, he advances the performance and accuracy of modern SAR imaging systems in remote sensing.

Publication Top Notes

  1. A Novel Approach to Doppler Centroid and Channel Errors Estimation in Azimuth Multi-Channel SAR
    Year: 2019
    Cited by: 28 articles

  2. Digital Beamforming Synthetic Aperture Radar (DBSAR): Experiments and Performance Analysis in Support of 16-Channel Airborne X-Band SAR Data
    Year: 2021
    Cited by: 50 articles

  3. High-Resolution and Wide-Swath SAR Imaging Mode Using Frequency Diverse Planar Array
    Year: 2021
    Cited by: 49 articles

  4. Very High Resolution SAR Imaging With DGPS-Supported Airborne X-Band Data
    Year: 2020
    Cited by: 10 articles

  5. Phase Bias Estimation and Imaging for High-Squint Multichannel SAR in Azimuth
    Year: 2023
    Cited by: 1 articles

Conclusion

Yashi Zhou is an accomplished researcher whose academic training and engineering expertise make significant contributions to the field of remote sensing and SAR technologies. His work bridges the gap between fundamental signal processing and practical implementation in satellite systems. With recognized achievements, numerous high-impact publications, and a national talent award, Dr. Zhou continues to be a key figure in advancing China’s capabilities in spaceborne Earth observation. His future research is expected to further enhance imaging precision and efficiency in SAR systems across national and international platforms.