Projects per year
Personal profile
Research interests
Research Expertise:
Data Mining and Statistical Learning | Robust Estimation | Bayesian Statistics
We are pursuing several lines of research to identify and validate the use of statistical learning/data mining methods with multidisciplinary data.
Projects include:
Biomarker discovery for neurogenerative diseases
Peak detection with maximum entropy principal
Clustering mix attributes – network security
Spoof detection and Speaker identification/verification in biometrics
Assessing robust methods for analyzing multivariate data Telemedicine/Telehealth statistical learning
Member of:
American Statistical Association (www.asa.org)
Institute of Mathematical Statistics (www.imstat.org)
Institute of Applied Statistics Sri Lanka (www.iappstat.lk)
Data Science Association
Education/Academic qualification
Master of Science, Master
Doctor of Philosophy, doctorate, University of Georgia
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Collaborations and top research areas from the last five years
Projects
- 3 Finished
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Optimizing Mobility: A Scalable Real-Time Warehouse for Intelligent Transportation Analytics
Rathnayaka, B., Thayasivam, U. & Thayasivam, U., 2027, Emerging Trends in Data Science, Information and Knowledge Engineering - 21st International Conference, ICDATA 2025, and 24th International Conference, IKE 2025, Held as Part of the World Congress in Computer Science, Computer Engineering, and Applied Computing, Revised Selected Papers. Stahlbock, R., Weiss, G. M., Arabnia, H. R. & Deligiannidis, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 268-283 16 p. (Communications in Computer and Information Science; vol. 2938 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Soccer In-Game Event Classification Using Spatio-Temporal Data
Haileyesus, M., Hnatyshin, V. & Thayasivam, U., 2025, ICAC 2025 - 7th International Conference on Advancements in Computing: The Future of Computing; AI, Quantum, and Beyond. Institute of Electrical and Electronics Engineers Inc., (ICAC 2025 - 7th International Conference on Advancements in Computing: The Future of Computing; AI, Quantum, and Beyond).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Value-at-risk student prescription trees for price personalization
Lentini, M. R. & Thayasivam, U., Dec 2025, In: Journal of Big Data. 12, 1, 70.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
Multilingual Student Performance Prediction Using Llama 3
Ayesha, B., Thayasivam, U. & Thayasivam, U., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5936-5945 10 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Link opens in a new tab Scopus citations -
Early Detection of Alzheimer's Disease-Related Pathology Using a Multi-Disease Diagnostic Platform Employing Autoantibodies as Blood-Based Biomarkers
Demarshall, C. A., Viviano, J., Emrani, S., Thayasivam, U., Godsey, G. A., Sarkar, A., Belinka, B., Libon, D. J. & Nagele, R. G., 2023, In: Journal of Alzheimer's Disease. 92, 3, p. 1077-1091 15 p.Research output: Contribution to journal › Article › peer-review
Open Access11 Link opens in a new tab Scopus citations