Dr. Sabu M. K.
ProfessorContact Info
- sabumk@cusat.ac.in
- Mavunkal House, Karimpadam, Chendamangalam P O, Ernakulam District, Kerala – 683512
- CUSAT IQAC Profile
Dr. Sabu M. K.
Dr. Sabu M. K. is currently a Professor in the Department of Computer Applications, Cochin University of Science and Technology, Kerala. He has 20+ years of experience in teaching. He received PhD from School of Computer Sciences, M. G. University, Kottayam. In addition he has published numerous research articles in peer reviewed journals and conferences both nationally and internationally. He is a research guide and a principal investigator for many funded projects. His key research areas include Rough set, data mining, and Swarm intelligence.
Field Of Special Interest
Rough Set theory
Machine Learning
Data Mining
Deep Learning
Swarm Intelligence
Education
Ph. D. (Computer Science)
2014Master of Computer Applications (MCA)
1993B.Sc. Mathematics
1987Experience
Professor
Department of Computer Applications, Cochin University of Science and Technology (CUSAT), Cochin, Kerala December 2019 - Till DateAssociate Professor
Department of Computer Applications, CUSAT, Kerala. December 2016 - December 2019Associate Professor
M. E. S College, Marampally, North Vazhakulam, Aluva October 1996 - December 2016Publications
- Presented paper titled “A Hybrid Feature Selection Approach Using Artificial Bee Colony and Genetic Algorithm” in the IEEE International Conference on Advanced Computing and Communication Techniques for High Performance Applications (ACCTHPA) held at FISAT, Angamaly on July 2- 4,2020.
- Presented paper titled “Computer-Aided Diagnosis of Thyroid Nodule from Ultrasound Images Using Transfer Learning from Deep Convolutional Neural Network Models” in the IEEE International Conference on Advanced Computing and Communication Techniques for High Performance Applications (ACCTHPA) held at FISAT, Angamaly on July 2- 4,2020.
- Published a paper titled “Factors Influencing the Adoption of Computerized Medical Diagnosing System for Tuberculosis” in the International Journal of Information Technology, 12, pages 503– 512(2020), published by Springer.
- “Churn Prediction a Comparative Analysis with Supervised Machine Learning Algorithms”, Advances and Applications in Mathematical Sciences (UGC Listed), Mili publications Vol. 21, Issue 1, October 2021, pp. 3017-3026, Mili publications.
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Google Scholar Profile
Funded Projects
| Role | Project | Funding Agency |
|---|---|---|
| Principal Investigator | A Rough Set approach to improve the performance of conventional Non Local Means image denoising algorithm | CUSAT -Seed Money for New Research Initiatives |
| Principal investigator | Prediction of Learning Disabilities in School Aged Children – A Rough Set Approach | UGC |
| Co-investigator | Brain tumor and edema segmentation in multimodal MRI scans using machine learning techniques | Engineering and Technology Programme (ETP) scheme of KSCSTE; a collaborative project with Computer Science Department |
| Co-investigator | Prediction of Extreme Rainfall over Kerala: A Machine Learning Based Approach | Performance Linked Encouragement for Academic Studies and Endeavour (PLEASE) scheme of Govt. of Kerala |