Name : Mrs. Chathurika Sandamali
Position : Lecturer (Probationary)
Email : sandamalierc@kdu.ac.lk
Mobile: 0716215345
Qualifications
Teaching Areas
Research Interests
Memberships
Working Experience
Publications
Specialised Statistical and Other Packages
Qualifications
- M. Sc. in Applied Statistics, University of Colombo
- B. Sc. (Hons) in Industrial Mathematics, Rajarata University of Sri Lanka
- Certificate of Teaching in Higher Education, General Sir John Kotelawala Defence University, 2023.
Teaching Areas
- Mathematics
- Statistics
- Operations Research
Research Interests
- Mathematical modelling
- Statistical modelling
Memberships
- Member of the Institute of Applied Statistics Sri Lanka (2015 to present)
Working Experience
- Instructor – Grade I at the Department of Computational Mathematics, Faculty of Computing, KDU (June 2020 – January 2021)
- Instructor – Grade II at the Department of Computational Mathematics, Faculty of Computing, KDU (October 2017 – June 2020)
- Temporary Demonstrator in Mathematics at The Open University of Sri Lanka (OUSL) (March 2017-October 2017)
- Temporary Lecturer in Mathematics at The OUSL (June 2015-March 2017)
- Temporary Project Assistant at The OUSL (January 2015-June 2015)
- Temporary Lecturer in Mathematics at the Faculty of Applied Sciences, Rajarata University of Sri Lanka (RUSL) (October 2012-April 2014)
- Temporary Tutor in Mathematics at the Faculty of Applied Sciences, RUSL (November 2011-October 2012)
- Part Time Tutor in Mathematics in the B.Sc. (Online) degree program at the Faculty of Applied Sciences, RUSL (November 2011-April 2013)
Publications
Conference Papers
- NCG Maddumarachchi, ERC Sandamali, PRD Wijesinghe, “Data-Driven Optimization Strategies for Resource Allocation in Small Businesses”, 17th International Research Conference, General Sir John Kotelawala Defence University, Sri Lanka, 2024
- AHS Chinthika, DMKS Dissanayake, WNNA Madhubashitha, WMS Kaumal, ERC Sandamali, “A Comprehensive Review of Automated ICD -10 Categorization Model: Methodologies, Challenges, and Future Directions”, 17th International Research Conference, General Sir John Kotelawala Defence University, Sri Lanka, 2024
- ST Hewa Arachchi, RMNT Sirisoma, ERC Sandamali, “Distribution Patterns and challenges of Multi Country Consolidation Operations in the Port Authority of Sri Lanka”, 17th International Research Conference, General Sir John Kotelawala Defence University, Sri Lanka, 2024
- KHRP Hewage, SU Dampage, ERC Sandamali, “Real Time Energy Forecasting Scheme for Large-Scale PV Solar Power Plants – Cloud Image Segmentation and Contour Detection“, 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), 2024
- A. Gamage, E. R. C. Sandamali and L. P. Kalansooriya, “Investigating the Learner Perception on Massive Open Online Courses (MOOCs): A Case Study from Sri Lanka,” 2023 3rd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2023, pp. 256-261, doi: 10.1109/ICARC57651.2023.10145628.
- A. Gamage, E. R. C. Sandamali and L. P. Kalansooriya, “DrivEmo: A Novel Approach for EEG-Based Emotion Classification for Drivers,” 2023 International Research Conference on Smart Computing and Systems Engineering (SCSE), Kelaniya, Sri Lanka, 2023, pp. 1-6, doi: 10.1109/SCSE59836.2023.10215028.
- A. Gamage, L. P. Kalansooriya and E. R. C. Sandamali, “An Emotion Classification Model for Driver Emotion Recognition Using Electroencephalography (EEG),” 2022 International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka, 2022, pp. 76-82, doi: 10.1109/SCSE56529.2022.9905108.
- TA Gamage, ERC Sandamali, P Kalansooriya, “Driver Emotion Recognition for Safe Driving: A Comprehensive Survey”, 15th International Research Conference, General Sir John Kotelawala Defence University, Sri Lanka, 2022
- Uthpala E. D., Sandamali E. R. C. and Pradeep R. M. M., 2021, Menstruation Cycle Information Analysis for Pattern Recognition: Determination of Algorithm on Stakeholder Requirement, 14th International Research Symposium, General Sir John Kotelawala Defence University, ID 526, page 64.
Specialised Statistical and Other Packages
- R, SPSS, Minitab, SAS, MS Office