Mathematics for Technology I
Mathematics for Technology II
Mathematics for Technology III
Mathematics for Computer Science II
Time Series Analysis for Data Science
Medical Imaging optimized reconstruction with nonparametric approaches
Geological stimulation and uncertainty evaluation
Dynamic linear modeling
Machine learning
Data science
Statistics
Text analysis
Classification models
FMRI image based classification
Member of Society of Industrial Applied Mathematics (SIAM)
Member of American Mathematical Society
Member of American Statistical Association
Member of Institute of Mathematical Statistic
Pi Mu Epsilon (Florida Eta Chapter)
Associate Member of British computer Society
L.E.A.R.N. Graduate Research Mentor, Office of Undergraduate Research, University of Central Florida
Academic Mentor and Teaching Mentor for junior graduate student, University of Central Florida, Mathematics
Chapter president University of Central Florida SIAM
Chapter president University of North Florida SIAM
University of Kelaniya Awards
Best portfolio report certificate in the staff development program. Year (2022)
Best paper award in 8th International Conference on Advances in Technology and Computing (ICATC) 2023
Vice-Chancellor's Awards - 2023 - The outstanding young researcher in the Faculty of Computing and Technology
Vice-Chancellor's Awards - 2023 - The researcher with highest no of publications in indexed journal in the Faculty of Computing and Technology
Research Grant Awards
Competitive Research Grant of Science and Technology, Human Resource Development Project Round 3 proposal -"Automated AI job recommendation, optimize and analysis system ", Year (2023)
Internal research grant University of Kelaniya- "Functional brain connectivity in resting state FMRI analysis using machine learning, deep learning algorithm", Year (2023)
AI-Powered Population-based Birth Cohort Study in the Western Province of Sri Lanka from the Project Management Unit of the Artificial Intelligence for Sexual and Reproductive Health for South Asia. Collaborate with University of Colombo, Faculty of Medicine
External Awards
Nominated for “UCF Order of Pegasus 2019” (highest award for UCF student) (2019)
Travel award to Recent Developments on Math/Stat approaches in Data (2019)
Travel award AMS Spring Southeastern Sectional Meeting 2019
Grad Student Travel Grant to the Joint Mathematics Meetings 2019
Travel award, SIAM Conference on Computational Science and Engineering 2019
In recognition of outstanding efforts and accomplishment (2018) UCF Society for Industrial and Applied Mathematics chapter
50th student body senate UCF (senator UCF college of graduate studies) (2018) recognition award
Presentation Fellowship Award from UCF (2018,2019)
SGA Travel Award from UCF (2019)
Industrial Math/Stat Modeling Workshop Travel Award (2018 )
Full award Symposium on Data Science & Statistics (2018) from The Statistical and Applied Mathematical Sciences Institute
American Statistical Association Registration Award
Society for Industrial and Applied Mathematics Travel Award 2018
Travel Award , Joint Meetings of The Florida Section of The Mathematical (2018) Association of America
Travel Award Summer Institute-University of Washington Biostatistics (2017)
Travel Award 2013 Society for Industrial and Applied Mathematics Annual Meeting (2013) (Travel support form UNF student Government )
Rasika Rajapakshage and Marianna Pensky, 2020.Is Clustering Advantageous in Statistical Ill-Posed Linear Inverse Problems?. IEEE Transactions on Information Theory https://ieeexplore.ieee.org/document/9159654
Timothy J. Robinson, Richard C. Giles and Rasika Rajapakshage. 2020, Discussion of “Experiences with big data: Accounts from a data scientist’s perspective”. Quality Engineering 32(4):1-7 https://www.tandfonline.com/doi/full/10.1080/08982112.2020.1758333
Rida Benhaddou,Marianna Pensky and Rasika Rajapakshage. 2017, Anisotropic functional Laplace deconvolution,Journal of Statistical Planning and Inference <br> https://www.sciencedirect.com/science/article/abs/pii/S0378375818301472
Opeyemi E. Oluwatuyi; Rasika Rajapakshage, Ph.D.; Shaun S. Wulff, Ph.D.; and Kam Ng, Ph.D., M.ASCE. 2022 Quantifying Geological Uncertainty Using Conditioned Spatial Markov Chains https://ascelibrary.org/doi/abs/10.1061/9780784484036.043
Opeyemi E. Oluwatuyi, Rebecca Holt, Rasika Rajapakshage, Shaun S. Wulff & Kam Ng. 2022 Listen Research Article Inherent variability assessment from sparse property data of overburden soils and intermediate geomaterials using random field approaches https://www.tandfonline.com/doi/abs/10.1080/17499518.2022.2046783
Mapatuna, P.T.; Rajapaksha, R.R.L.U.I.; Wijerathne, J.K. 2011 Forecasting Foreign Exchange Rate using the Kalman Filter Approach http://192.248.93.15/handle/123456789/7332
Oluwatuyi, O. E., Rajapakshage, R., Wulff, S. S., & Ng, K. (2023). Proposed hybrid approach for three-dimensional subsurface simulation to improve boundary determination and design of optimum site investigation plan for pile foundations. Soils and Foundations, 63(1), 101269. https://doi.org/10.1016/j.sandf.2022.101269
Lai, M., Wulff, S., Cao, Y., Robinson, T., & Rajapaksha, R. (2023). An interpretable time series machine learning method for varying forecast and nowcast lengths in wastewater-based epidemiology. MethodsX, 11, 102382. https://doi.org/10.1016/j.mex.2023.102382
Predictive Analysis on Social Media Content to Become Viral https://www.researchgate.net/publication/381852269 Predictive_Analysis_on_Social_Media_Content_to_Become_Viral