C K Roopa currently working as an Assistant Professor in the Department of Information Science & Engineering, JSS Science & Technology University (Formerly SJCE), Mysore. My current research work focuses more on coronary artery diseases which is the most important form of CVD. The work involves analyzing non-invasive modality called ECG for the identification and classification of Heart diseases. She is Member of The Institution of Engineers (AM171635-5) and Computer Society of India (F8002025). https://www.researchgate.net/profile/C_K_Roopa

Email Address
ckr@jssstuniv.in
Education Qualification (All qualification including diploma)

Ph.D. in Computer Science, University of Mysore, India
Thesis Title: “Analysis and Interpretation of Cardiac Diseases using Heart Signal”

M.Tech in Computer Science and Engineering, Visvesvaraya Technological University, India

B.E in Information Science and Engineering, Visvesvaraya Technological University, India

Journals Published

5

Conferences Presented

5

Research and Development projects submitted

2

Training Programs attended
10
Training Programs conducted and coordinated
3
Awards

Awarded 1stprize in “Ideathon on Social Innovation” conducted by Confederation of Indian Industry (CII) , Young Indians (YI). 19th Feb 2020

Research Interests

Machine Learning, Artificial Intelligence, and Computational Intelligence

List of Publication

International Conferences:

1. C K Roopa and B S Harish., “A New way of classifying Cardiac conduction using CNN and Neuromorphic Model”, Fourteenth International Conference on Pattern Recognition and Information Processing (PRIP 2019) (SPIE, Springer), Belarus.
2. C K Roopa, B S Harish and Aruna Kumar S V., “A Novel Method of Clustering ECG Arrhythmia data using Robust Spatial Kernel Fuzzy C-Means”, 8th International Conference on Advances in Computing & Communications (Elsevier Procedia), 13-15 September 2018, Cochin, India.
3. C K Roopa, B S Harish and S V Aruna Kumar., "Classification of ECG Arrhythmia using Symbolic Dynamics through Fuzzy Clustering Neural Network", Third International Workshop on Pattern Recognition (SPIE Indexed), Vol. 10828, Jinan, China, 2018.
4. C K Roopa and B S Harish., “An empirical evaluation of Savitzky-Golay (SG) filter for denoising ST segment”, Springer Third International Conference on Cognitive Computing and Information Processing (CCIP 2017) (Springer),Vol. 801, pp. 18 - 28, 2018.
5. Sachith, B.K., Shivakumara, P., Basavanna, M. and Roopa, C.K., Sharpness based Method for Lung Cancer Cell Identification. In Eighth International Conference on Image and Signal Processing (ICISP-2014), The Society of Information Processing,(SIP), Bangalore (pp. 7-12).

International Journal

1. C K Roopa, B S Harish and S V Aruna Kumar., “Segmenting ECG and MRI Data using Ant Colony Optimization”. International Journal of Artificial Intelligence and Soft Computing, 2020 (Accepted for Publication).
2. C K Roopa and B S Harish., “Automated ECG Analysis for Localizing Thrombus in Culprit Artery using Rule Based Information Fuzzy Network”, International Journal of Interactive Multimedia and Artificial Intelligence, DOI: 10.9781/ijimai.2019.02.001, 2019.
3. C K Roopa and B S Harish., “Interpretation of ECG using Modified Intuitionistic Fuzzy c-Means Clustering for Arrhythmia Data”, Journal on Soft Computing, 2018, Vol. 9, No. 1, pp. 1795 – 1800.
4. C K Roopa and B S Harish., “A Survey on various Machine Learning Approaches for ECG Analysis”, International Journal of Computer Applications, 2017, Vol. 163, No. 9, pp. 25 – 33.
5. Pavan Mallya P, Roopa C. K, 2015, Feature Subset Selection for High Dimensional Data, “International Journal of Engineering Research & Technology (IJERT) Volume 04, Issue 05 (May 2015), http://dx.doi.org/10.17577/IJERTV4IS050376.

Subjects

Information Science