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Dr. Premkumar Borugadda

Post-Doctoral Research Fellow · ERATOSTHENES Centre of Excellence, Limassol, Cyprus

https://researchid.co/premkumar
@premkumar.borugadda@eratosthenes.org.cy
13Scopus Publications
271Google Scholar Citations
9Google Scholar h-index
8Google Scholar i10-index

Research Interests

Machine Learning, Deep Learning, Computer Vision

Biography

Dr. Premkumar Borugadda is a Post-Doctoral Research Fellow in the Department of Environment and Climate at the ERATOSTHENES Centre of Excellence. He obtained his Ph.D. in Computer Science and Engineering (Artificial Intelligence & Machine Learning) from Pondicherry University, India, where his doctoral research focused on “A Novel Approach for Multi-Level Dimensional Reduction for Classification of Tomato Plant Leaf Diseases using Transfer Learning on the VGG16 Model.” Prior to joining ERATOSTHENES CoE, Dr. Borugadda served as a Post-Doctoral Fellow at SRM University-AP, India, and as an Assistant Professor at leading academic institutions including Ashoka School of Business, Hyderabad, and Bapatla Engineering College, Andhra Pradesh, India. His research interests encompass Machine Learning, Deep Learning, and Computer Vision. He has published numerous papers in Q1 and Q2 journals.

Education

M.Tech., Ph.D. (AI & ML)., Post-Doc.

Recent Scopus Publications

  1. A comprehensive analysis of artificial intelligence, machine learning, deep learning and computer vision in food science
    Journal of Future Foods, 2026
  2. Corporate social responsibility (CSR) and corporate financial performance (CFP): a panel data analysis of BSE 500 companies in India
    Discover Sustainability, 2025
  3. Developing a Logistic Regression Model for Predicting Chronic Kidney Disease
    Proceedings of 8th International Conference on Trends in Electronics and Informatics Icoei 2025, 2025
  4. Obesity Health Risk Prediction using Random Forest and SVM Algorithms
    Proceedings of 8th International Conference on Trends in Electronics and Informatics Icoei 2025, 2025
  5. A Novel Approach for Prediction of Liver Disease Using Voting Algorithm Based on Machine Learning Models
    Smart Innovation Systems and Technologies, 2024

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