Ph.D.: SRM University-AP, 2024
PG: CSE, JNTUK, 2015
UG: CSEIT, JNTUH, 2008
Teaching Experience: 10+ years
Contact Number: 8897897765
BVRITN Employee ID:
JNTUH Registration ID: 0040-240712-154131
AICTE Registration ID: 1-7448619961
- Machine Learning
- Deep Learning and Artificial Intelligence
- Federated Learning
Publications:
- Ramdas Kapila, Sumalatha Saleti, “An efficient ensemble-based Machine Learning for breast cancer detection,” in Biomedical Signal Processing and Control, Vol. 86, 2023.
- Ramdas Kapila, Thirumalaisamy Ragunathan, Sumalatha Saleti, T Jaya Lakshmi, Mohd Wazih Ahmad, “Heart disease prediction using novel quine McCluskey binary classifier (QMBC)”, in IEEE Access, Jun 2023.
- Ramdas Kapila, Sumalatha Saleti, “Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data”, in Computational Biology and Chemistry, Dec 2023.
- Ramdas Kapila, Sumalatha Saleti, “Federated learning-based disease prediction: A fusion approach with feature selection and extraction”, in Elsevier- Biomedical Signal Processing and Control, Feb 2025.
Patents:
- Ramdas Kapila, Sumalatha Saleti, “A SYSTEM AND A METHOD FOR PRIVACY-PRESERVING DISEASE PREDICTION USING A FEDERATED LEARNING TECHNIQUE”, Indian Patent Published Application Number: 202341076138, Published Date: 08 Nov 2023.
2. Ramdas Kapila, Sumalatha Saleti, Ragunathan T, “A METHOD AND SYSTEM FOR DISEASE PREDICTION USING MACHINE LEARNING MODELS DURING MEDICAL DIAGNOSES OF PATIENTS”, Indian Patent Published Application Number: 202441032199, Published Date: 26 April 2024.
Conferences:
- Ramdas, Kapila, Sumalatha Saleti, “Comparative Analysis of Optimization Algorithms for Feature Selection in Heart Disease Classification”, in Intelligent Computing Systems and Applications: Proceedings of the 2nd International Conference, ICICSA 2023., Feb 2023.
Book Chapters:
- Ramdas Kapila, Sumalatha Saleti, “An Enhancement in the Efficiency of Disease Prediction Using Feature Extraction and Feature Selection” in Contemporary Applications of Data Fusion for Advanced Healthcare Informatics, pp. 52-86. IGI Global, Apr 2023.
- Ramdas Kapila, Sumalatha Saleti,” Optimizing Predictive Models for Parkinson’s Disease Diagnosis” in Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis, pp.255-275. IGI Global, Feb 2024.