Lecturer (Probationary)
Department of Electrical and Electronic Technology,
Faculty of Technology,
Rajarata University of Sri Lanka,
Mihintale.
pchathur@tec.rjt.ac.lk
Education
- PhD in applied Mathematics, University of Colombo Sri Lanka
- B.Sc (hons) Mathematic Special, Department of Mathematics, Faculty of Science, University of Peradeniya (2016)
📜Biography
Dr. Piyumi Chathurangika is a Lecturer in Mathematics in the Department of Electrical and Electronics Technology, Faculty of Technology, Rajarata University of Sri Lanka. She obtained her Bachelor of Science (Special) Degree in Mathematics from the University of Peradeniya and completed her Doctor of Philosophy (PhD) in Applied Mathematics at the University of Colombo. Her doctoral research, titled Forecasting and Controlling Dengue Transmission: A Hybrid Modeling Approach, focused on the development of mathematical models to understand and predict dengue transmission by integrating epidemiological dynamics, environmental factors, and vector biology.
Dr. Chathurangika’s research interests include applied mathematics, mathematical biology, epidemiological modelling, dynamical systems, ecology and evolution, and mathematical modelling of infectious diseases. Her research has contributed to advancing the understanding of vector-borne disease dynamics through the application of differential equations, statistical inference, and computational modelling. She has published her work in internationally recognized journals, including Scientific Reports and BMC Infectious Diseases, and has presented her research at several international conferences and academic seminars.
At Rajarata University of Sri Lanka, she teaches undergraduate courses in mathematics for technology, covering subjects such as algebra, calculus, differential equations, linear algebra, and multivariable calculus. She also serves as a Visiting Lecturer at the University of Colombo, where she teaches courses in Mathematics for Statistics, Data Visualization with Python, and Linear Programming.
Dr. Chathurangika is committed to promoting excellence in teaching and research while fostering interdisciplinary collaborations in mathematical sciences. Her current research explores mathematical approaches to understanding infectious disease transmission, climate-driven epidemiological processes, and the application of mathematical modelling to address real-world public health challenges. She continues to contribute to both academic research and higher education through teaching, supervision, and collaborative research initiatives.
Teaching Courses
- CMT 1303 – Fundamentals of Mathematics for Technology
- CMT 1307 – Mathematics for Technology I
- CMT 2306 – Mathematics for Technology II
- CMT 2301 – Fundamentals of Statistics for Technology
Research Interests
- Applied mathematics
- Epidemiological modeling
- Mathematical biology
- Dynamical systems
Publications
Journal Publication
- Chathurangika, P., Perera, S. S. N., & De Silva, S. K. (2024). Estimating dynamics of dengue disease in Colombo district of Sri Lanka with environmental impact by quantifying the per-capita vector density. Scientific Reports, 14(1), 24629.
- Chathurangika, P., Premadasa, L. S., Perera, S. S. N., & De Silva, K. (2024). Determining dengue infection risk in the Colombo district of Sri Lanka by inferencing the genetic parameters of Aedes mosquitoes. BMC Infectious Diseases, 24(1), 944.
- Chathurangika, P., De Silva, K., & Perera, S. S. N. (2022). Dengue Disease Prediction with Seasonality of Environmental Factors. Communications in Combinatorics, Cryptography & Computer Science, 2023(1), 29-38.
Conferences Publications
- Chathurangika, P., Perera, S. N. N., & De Silva, K. (2025). Modeling Dengue Emergence with Temperature-Dependent EIP., Proceedings of the International Conference on Computational and Mathematical Modelling (ICCMM) – 2025, 62.
- Chathurangika, P., Sachini Karunarathne, Perera, S. N. N., & De Silva, K (2025). Time Series Temperature Forecasting for the Next Decade in the Colombo District. Proceedings of the International Conference on Computational and Mathematical Modelling (ICCMM) – 2025, 171.
- Chathurangika, P., De Silva, K., & Perera, S. N. N. (2024). Identification of the trade-off feasibility region between positive and negative traits of a predator-prey system between dengue virus and Aedes vector Proceedings of the International Conference on Computational and Mathematical Modelling (ICCMM) – 2024, 61-67.
- Chathurangika, P., De Silva, K., & Perera, S.(2022) Dengue Disease Prediction with Seasonality of Environmental Factors. 7th International Conference on Combinatorics, Cryptography, Computer Science and Computing, 2022, 527-538.
- Chathurangika, P., De Silva, K., & Perera, S. (2023). Dengue disease prediction using rainfall variation in the Colombo district, Sri Lanka. Proceedings of the 11th International Symposium –, South Eastern University of Sri Lanka, 2023, 103-110.
Abstract and conference presentations
- “Investigating the dynamics and Stability of Dengue Disease transmission: The Role of Vector-Pathogen Interactions and Climate Factors” JAM 2025, Jen 8-11, 2025
- “Examining infectious disease dynamics and the critical role of the environment in tracing vector evolution” Applied Mathematics Seminar, Department of Mathematics, University of North Carolina at Greensboro Oct 28, 2024
- “Exploring the dynamics and stability of dengue transmission: The influence of vector-pathogen interactions and climate factors”
The 42nd southeastern-Atlantic regional conference of differential equations, West Virginia University, Nov 10-11, 2024
Appointments and Administrative Experiences
University Teaching
- Lecturer (Probationary), Department of Electrical and Electronics Technology, Rajarata University of Sri Lanka (June 2019 – present)
- Lecturer (Temporary), Department of Mathematics, faculty of science, University of Peradeniya (Jan 2017 – Dec 2018)
- Visiting Lecturer, Department of Mathematics, Faculty of Science, University of Colombo
- Visiting Lecturer, Department of Statistics, Faculty of Science, University of Colombo
