DEEPIKA S

About

I am a dedicated researcher and academician with a passion for advancing knowledge in engineering and technology. My academic journey began with a Bachelor of Engineering (BE) degree from Visvesvaraya Technological University (VTU), where I first cultivated my interest in innovation and problem-solving. I further honed my technical expertise by completing my Master of Technology (M.Tech) at Dayananda Sagar College of Engineering, an institution renowned for its emphasis on quality education and practical learning.

Pursuing my thirst for knowledge and contributing to cutting-edge research, I earned my Ph.D. from Vellore Institute of Technology (VIT), Vellore, specializing in Machine Learning , Deep Learning & Artificial Intelligence. I engaged in impactful research that not only broadened my academic horizon but also contributed to addressing real-world challenges.

When I’m not immersed in research papers, you’ll find me mentoring students, tinkering with new ideas, or perhaps enjoying a cup of coffee while pondering the mysteries of life—or at least the mysteries of neural networks!

Employment

• Vellore Institute of Technology University Assistant Professor
  2020 - 2025
• Vellore Institute of Technology University

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• A novel approach to heart disease classification using echocardiogram videos with transfer learning architecture and MVCNN integration
  The Scientific Temper 2024 0 citations DOI: 10.58414/scientifictemper.2024.15.4.33
  +Save
• A Novel Transfer Learning Architecture Integrating 3D CNN and MVCNN for Heart Disease Classification from Echocardiogram Videos Focusing on The Heart Valves Region
  African Journal of Biomedical Research 2024 0 citations DOI: 10.53555/ajbr.v27i3.3208
  +Save
• Detecting and Classifying Myocardial Infarction in Echocardiogram Frames with an Enhanced CNN Algorithm and ECV-3D Network
  IEEE Access 2024 13 citations DOI: 10.1109/ACCESS.2024.3385787
  +Save
• Enhanced Heart Disease Classification Using Dual Attention Mechanisms and 3D-Echo Fusion Algorithm in Echocardiogram Videos
  IEEE Access 2024 4 citations DOI: 10.1109/ACCESS.2024.3522996
  +Save
• Review On Machine Learning and Deep Learning-based Heart Disease Classification and Prediction
  Open Biomedical Engineering Journal 2023 4 citations DOI: 10.2174/18741207-v17-e230110-2022-HT27-3589-17
  +Save
• Issue 6 www.jetir.org (ISSN-2349-5162)
  Unpublished 2018 DOI: 10.13140/RG.2.2.31652.19847
  +Save