Dr. Rasika Rajapaksha
Dr. Rasika Rajapaksha
Post Doctoral, Data Science (UWYO,USA), PhD Math (UCF, USA), MSc (UCF, USA), MSc (UNF, USA), BSc (Special) (Colombo, SriLanka), P.G.D (BCS,UK)
Senior Lecturer (Grade II) in Applied Mathematics and Data science
rasikar@kln.ac.lk
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Teaching Subjects
- Mathematics for Technology I
- Mathematics for Technology III
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Mathematics for Technology II
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Mathematics for Computer Science II
- Time Series Analysis for Data Science
Research Topics
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Medical Imaging optimized reconstruction with nonparametric approaches .
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Geological stimulation and uncertainty evaluation.
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Dynamic linear modeling.
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Machine learning.
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Data science.
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Statistics.
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Text analysis.
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Classification models.
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FMRI image based classification.
Professional Contributions
- 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
Publications
- 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 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
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 )