Research & Publications

Advancing the frontiers of computer science through innovative research in medical technology applications and diabetic retinopathy detection.

Research Innovation

Cutting-Edge Research

Advancing medical technology through AI

Current Research Focus

My PhD research centers on developing advanced computer vision techniques for medical diagnosis applications.

PhD Research

Computer Science - Medical Technology Applications

Karpagam Academy of Higher Education, Coimbatore
Research Duration: July 2022 – Present

Research Focus

My doctoral research focuses on developing enhanced machine learning algorithms for medical diagnosis, specifically targeting diabetic retinopathy detection using advanced computer vision techniques.

  • Custom EfficientNet architecture enhancement
  • Medical image processing and analysis
  • Deep learning for healthcare applications

Research Impact

The research aims to improve early detection accuracy of diabetic retinopathy, potentially impacting millions of patients worldwide through better screening methodologies.

Research Duration2022 - Present
Publications3 Papers Under Review
Conferences2 Presentations

Recent Publications

Peer-reviewed research contributions presented at prestigious academic conferences.

Custom Enhance EfficientNet for Advancing DR Detection
December 2024
16th Annual Research Congress

Karpagam Academy of Higher Education

Latest

This research presents an enhanced EfficientNet architecture specifically designed for diabetic retinopathy detection. The custom modifications improve accuracy and reduce false positives in medical image analysis, contributing to better patient outcomes through early detection.

Machine LearningMedical ImagingDeep LearningHealthcare AI
Revolutionizing DR Detection: Insights from Improved Screening
December 2023
15th Annual Research Congress

Karpagam Academy of Higher Education

2023

This paper explores innovative approaches to diabetic retinopathy screening with a focus on improving detection methodologies and patient outcomes. The research provides insights into optimizing screening processes for better healthcare delivery.

Medical ScreeningHealthcare InnovationPatient CareDiagnostic Improvement

Research Interests

Exploring interdisciplinary approaches that combine computer science with healthcare and innovation.

Medical AI

Developing AI solutions for medical diagnosis, focusing on computer vision applications in healthcare.

Educational Technology

Exploring innovative teaching methodologies and technology integration in computer science education.

Innovation Studies

Researching entrepreneurship ecosystems and innovation management in academic institutions.

Future Research Directions

Looking ahead, I aim to expand my research into broader applications of AI in healthcare, explore interdisciplinary collaborations, and contribute to the development of ethical AI frameworks for medical applications.

AI Ethics

Developing ethical frameworks for AI in healthcare

Collaborative Research

International partnerships in medical AI research

Technology Transfer

Bridging research and practical healthcare applications