Mr. S Prasanth
Lecturer (Prob.)
Applied Sciences
Email : sprasanth@appsc.sab.ac.lk
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- B.Sc. Special Degree in Computing and Information Systems, Sabaragamuwa University of Sri Lanka (2019)
Qualifications
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- Senthan Prasanth was graduated from Sabaragamuwa University of Sri Lanka with a Second class Upper.He has done his internship at WSO2 Lanka (PVT) LTD as a Trainee Software Engineer.After his graduation he joined as the Demonstrator at Department of Computing and Information Systems, Faculty of Applied Sciences.
- Prasanth is currently working as a Lecturer (Probationary) in Computer Science at the Department of Physical Sciences and Technology, Faculty of Applied Sciences
- Senthan Prasanth was graduated from Sabaragamuwa University of Sri Lanka with a Second class Upper.He has done his internship at WSO2 Lanka (PVT) LTD as a Trainee Software Engineer.After his graduation he joined as the Demonstrator at Department of Computing and Information Systems, Faculty of Applied Sciences.
Profile
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- Machine Learning
- Data Mining
Research Interests
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- P. Senthan, R. Rathnayaka, B. Kuhaneswaran and B. Kumara, "Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka," 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2021, pp. 1-7, doi: 10.1109/IEMTRONICS52119.2021.9422657.
- S. Prasanth, K. Banujan, B. Kumara and H. Rupasingha, "Prediction of Student Satisfaction on Online Learning during the COVID-19 Pandemic - A Case Study on Sri Lankan Universities," 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), 2021, pp. 69-74, doi: 10.1109/ICter53630.2021.9774807.
- S. Prasanth, K. Banujan and K. Btgs, "Hyper Parameter Tuned Ensemble Approach for Gestational Diabetes Prediction," 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021, pp. 18-23, doi: 10.1109/3ICT53449.2021.9581926.
- P. Senthan, R. Rathnayaka, B. Kuhaneswaran and B. Kumara, "Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka," 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2021, pp. 1-7, doi: 10.1109/IEMTRONICS52119.2021.9422657.
Published as full paper at the National/International Conferences/Symposium
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- PST 11107 - Structured Programming
- PST 12211 - Database Management Systems
- PST 32224 - Artificial Neural Networks
- PST 41232- Embedded Systems