Amrita Vishwa Vidyapeetham, India
Author Profile
Early Academic Pursuits:
T. Lakshmi Prasanthi began her academic journey with a strong focus on Electronics and Communication Engineering (ECE), laying the groundwork for her future research endeavors. Her undergraduate studies provided her with a solid understanding of signal processing, a field that would later become her area of specialization.
Professional Endeavors:
Transitioning from academia to professional life, Her embarked on a career as an Assistant Professor at Sri Padmavati Mahila VisvaVidyalayam. This role allowed her to nurture young minds while delving deeper into her research interests, particularly in the application of AI in signal processing.
Contributions and Research Focus:
Her contributions to the field of AI in signal processing are notable. Her research work, exemplified by papers like "Improvement of Brain Tumor Categorization using Deep Learning," demonstrates a commitment to advancing technology for medical applications. Her investigations and comparative analyses have enriched the understanding of AI's potential in healthcare.
Accolades and Recognition:
Throughout her academic and professional journey, Her garnered recognition for her work. This includes presentations at conferences such as ICIDCA 2024, showcasing her contributions to the academic community and her ability to bridge theory and practical applications.
Impact and Influence:
Prasanthi's work has had a tangible impact on the field of signal processing, particularly in healthcare. By leveraging AI techniques, she has contributed to improving brain tumor categorization, highlighting the transformative potential of technology in medical diagnostics.
Legacy and Future Contributions:
Looking ahead, Her legacy lies in her dedication to pushing the boundaries of AI in signal processing. Her ongoing Ph.D. pursuits at Amrita Vishwa Vidyapeetham underscore her commitment to continued learning and innovation. As she navigates her academic and professional journey, Her future contributions promise to further enrich the intersection of AI and signal processing, paving the way for advancements with real-world implications.
Citations
A total of 7 citations for Her publications, demonstrating the impact and recognition of Her research within the academic community.
- Citations 7
- h-index 1
- i10-index 1
Notable Publications
Machine Learning-based Signal Processing by Physiological Signals Detection of Stress
TL Prasanthi
2021