Academic Qualifications
Ph.D. in Mathematics, Texas Tech University, Lubbock, Texas, US
M.S. in Statistics, Texas Tech University, Lubbock, Texas, US
B.Sc. (Special) in Mathematics (Pure Mathematics & Statistics), University of Kelaniya, Sri Lanka
Research Interests
Risk and financial analytics
Health analytics and AI in healthcare
Industrial and sustainability analytics
Learning analytics and educational innovation
Areas of Specialization
Applied Statistics and Predictive Modelling
Machine Learning and Deep Learning
Mathematical and Risk Modelling
Health Data Science
Industrial Data Analytics
Teaching Interests
Statistical Modelling
Machine Learning and Deep Learning
Mathematics for Data Science
Optimization Methods for Management Science
Professional Memberships
IEEE Member (2022 - present)
Institute of Mathematical Statistics Member
American Statistical Association (2019 - 2022)
Society for Industrial and Applied Mathematics (2017 - 2022)
American Mathematical Society (2017 - 2022)
Association for Women in Mathematics (2018 - 2021)
U.S. National Center for Faculty Development & Diversity (2020 - 2022)
Positions Held
Coordinator, Master of Data Analytics, Department of Industrial Management, University of Kelaniya, (2026–)
Student Counselor, University of Kelaniya, (2023-)
Counselor, Kalana Mithuru Sevana, University of Kelaniya, (2023-)
Coordinator, Industrial Mentoring Programme, Department of Industrial Management, (2022–2026)
Member, Conference Quality Management Committee, IEEE Sri Lanka Section, (2025–)
Publication Chair, International Research Conference on Smart Computing and Systems Engineering, (2025, 2026)
Secretary, International Research Conference on Smart Computing and Systems Engineering, (2023, 2024)
Selected Research Publication
Mahanama, T., Shirvani, A., & Rachev, S. T. (2021). Global Index on Financial Losses due to Crime in the United States. Journal of Risk and Financial Management, 14(7), 315.
Mahanama, T., Shirvani, A., & Rachev, S. T. (2022). A Natural Disasters Index. Environmental Economics and Policy Studies, 24(2), 263–284.
Mahanama, T., & Volchenkov, D. (2022). Tornado Property Loss Scale: Up to $8 Billion by 2025: Classification, Dependence, and Prediction of Tornado Events in the U.S. Journal of Environmental Accounting and Management, 10(2), 127–142.
Mahanama, T. V., Shirvani, A., Rachev, S. T., & Fabozzi, F. J. (2024). The Financial Market of Indices of Socioeconomic Wellbeing. Journal of Risk and Financial Management, 17(1), 35.
Mahanama, T. V., Paranamana, P., & Volchenkov, D. (2024). Predicting the Severity of Tornado Events by Learning a Statistical Manifold for Tornado Property Losses. Journal of Environmental Accounting and Management, 12(2), 129–139.
Mahanama, T. V., Biswas, A., & Wang, D. (2023). Optimize and Strengthen Machine Learning Models Based on in Vitro Assays with Mechanistic Knowledge and Real-World Data. In Machine Learning and Deep Learning in Computational Toxicology. Springer.
Weraduwa, S., Asanka, P. D., & Mahanama, T. V. (2024). Advanced Computational Techniques in Dysgraphia Prediction using Handwriting Recognition: A Systematic Review of Machine and Deep Learning Methods. The Journal of Desk Research Review and Analysis.
Wijerama, N. S., Asanka, P. D., & Mahanama, T. V. (2025). Development of a Multi-Dimensional Image Processing Model for Personalized Diagnosis and Severity Assessment of Skin Diseases. International Conference on Advanced Research in Computing.
Weraduwa, S., Asanka, D., & Mahanama, T. V. (2025). Early Detection and Severity Assessment of Dysgraphia in Sinhala-Speaking Children Using a Multi-Modal Machine Learning Approach. International Conference on Advances in ICT for Emerging Regions.
Jayawardhane, P., Asanka, D., Mahanama, T. V., et al. (2025). A CNN-Based Grading and Feedback System for Dental Cavity Preparation Using Top-View Images. International Conference on Innovations in Engineering, Science and Technology for Sustainable Development.
Ubesigha, L., Rajapaksha, C., Mahanama, T., & Asanka, D. (2025). Enhancing Predictive Maintenance in Industry 4.0: Leveraging AI for Optimal Machinery Health Management. International Conference on Advanced Research in Computing.
Harith, S., Rajapakse, C., Mahanama, T., et al. (2025). Identifying Three-Band Hyperspectral Composites That Outperform RGB for Floating Plastic Detection. International Conference on Advances in ICT for Emerging Regions.
Randini, L., Ubesingha, L., Asanka, P. P. G. D., Mahanama, T. V., & Rajapakse, C. (2026). Integrating Uncertainty Quantification in AI-Driven Predictive Maintenance for Industrial Systems. International Conference on Advanced Research in Computing.
Asanka, P. D., & Mahanama, T. V. (2024). Learning through Simulation: A Role-Based Learning Exercise to Equip Students in Big Data Requirement Elicitation Skills and Challenges. Journal of Computing Theories and Applications, 2(1), 118–130.
Aberathna, Y. M. B. D., Asanka, P. P. G. D., Mahanama, T. V., & Kariyapperuma, J. (2026). Metadata-Driven RAG Architecture for Context-Aware University Information Retrieval. IEEE International Research Conference on Smart Computing and Systems Engineering.
Thenura, S., Asanka, P. P. G. D., Mahanama, T. V., & Rajapakse, C. (2026). AI Agent-Based Automated Essay Marking Framework Using Large Language Models. IEEE International Research Conference on Smart Computing and Systems Engineering.