Moodlakatte Institute of Technology Kundapura | India
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Early Academic Pursuits
Dr. Vishwanath Shervegar began his academic journey with a strong foundation in Electronics and Communication Engineering, which was nurtured at the undergraduate level. His pursuit of advanced studies led him to complete a postgraduate program in Digital Electronics and Advanced Communication, where he honed his expertise in applied electronics. His doctoral research in Biomedical Signal Processing marked a significant milestone, reflecting his deep commitment to bridging the gap between electronics and healthcare applications. These formative years shaped his academic curiosity, laying the groundwork for a career dedicated to innovation in biomedical instrumentation and computational methods.
Professional Endeavors
His professional career has been marked by consistent growth within the field of Electronics and Communication Engineering. Beginning as a lecturer, Dr. Shervegar steadily advanced through academic ranks, gaining experience across reputed institutions. His journey includes long-term service as an Assistant and Associate Professor before taking on the role of Professor at the Moodlakatte Institute of Technology. Alongside his teaching responsibilities, he has contributed to curriculum development, placement coordination, and mentorship, creating a strong academic environment that supports both research and student success. His professional endeavors highlight a balance between educational leadership and research advancement.
Contributions and Research Focus
The central focus of Dr. Shervegar’s research lies in biomedical signal processing, where he has developed novel methods for the analysis, classification, and denoising of phonocardiogram signals. His work demonstrates an integration of artificial intelligence and machine learning techniques with healthcare diagnostics, making significant contributions to cardiac signal processing and intelligent biomedical instrumentation. He has authored impactful research publications in reputed journals and contributed to book chapters that expand the scope of medical science and engineering integration. His innovative approaches, such as adaptive filtering techniques and wavelet scattering transforms, have advanced the precision and reliability of heart sound analysis.
Accolades and Recognition
Dr. Shervegar has earned recognition for his scholarly contributions through publications in highly indexed international journals and books published by leading academic publishers. His doctoral and postgraduate theses remain available in digital repositories, reflecting the academic value of his research. He has also been entrusted with responsibilities as a reviewer for multiple prestigious international journals from Elsevier and Springer, and has served as a technical program committee member for IEEE international conferences. His membership with the Institution of Electrical and Electronics Engineers as a senior member and his life membership with the Indian Society for Technical Education further highlight his professional stature.
Impact and Influence
Beyond his research contributions, Dr. Shervegar has had a significant impact on academic and research communities. His participation in international conferences, workshops, and faculty development programs has provided platforms to share knowledge and exchange innovative ideas with peers across the globe. By organizing workshops on signal and image processing using Python and participating in collaborative programs with institutions like IIT Madras and Binghamton University, he has fostered a culture of interdisciplinary learning. His mentorship has influenced many young researchers and students, inspiring them to pursue careers in electronics, biomedical engineering, and computational technologies.
Legacy and Future Contributions
The legacy of Dr. Shervegar lies in his contributions to integrating technology with healthcare solutions, particularly in the domain of biomedical signal processing. His research on phonocardiography stands as a pioneering effort in redefining cardiac auscultation with the support of artificial intelligence. Looking ahead, his focus on developing advanced algorithms, intelligent healthcare systems, and machine learning-based biomedical instruments is expected to shape the future of diagnostic methodologies. With his continuing academic leadership and dedication to interdisciplinary research, his future contributions promise to influence both the scientific and medical communities on a broader scale.
Publications
Article: Heart Sound Classification Technique for Early CVD Detection using Improved Wavelet Time Scattering and Discriminant Analysis Classifiers
Author: Vishwanath Madhava Shervegar
Journal: Informatics and Health
Year: 2025
Article: Event Synchronous Segmentation of Phonocardiogram – A New Frontier to Heart Sound Delineation
Author: Vishwanath Madhava Shervegar
Journal: Medicine and Medical Research: New Perspectives
Year: 2024
Article/Book Chapter: Sliding Window Adaptive Filter for Denoising PCG Signals
Authors: Vishwanath Madhava Shervegar, Jagadish Nayak
Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Year: 2023
Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Authors: Arun Kumar, Sumit Chakravarty, Mohit Kumar Sharma
Publisher: CRC Press
Year: 2023
Preprint Article: Continuous Wavelet Transform based Phonocardiogram Delineation Method
Contributor: Vishwanath Madhava Shervegar
Source: Europe PubMed Central (Preprint DOI: 10.21203/rs.3.rs-1416616/v1)
Year: 2022
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