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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 2 Finished
Research output
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Accuracy of clustering prediction of PAM and K-modes algorithms
Dixon, M. G., Genov, S., Hnatyshin, V. & Thayasivam, U., Jan 1 2019, Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Bhatia, R., Arai, K. & Kapoor, S. (eds.). Springer Verlag, p. 330-345 16 p. (Advances in Intelligent Systems and Computing; vol. 886).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Educational data mining: A review on data collection process
Mahanama, B., Mendis, W., Jayasooriya, A., Malaka, V., Thayasivam, U. & Thayasivam, U., Jan 16 2019, 18th International Conference on Advances in ICT for Emerging Regions, ICTer 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 253-258 6 p. 8615532. (18th International Conference on Advances in ICT for Emerging Regions, ICTer 2018 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels
Ranchagoda, N. H., Kandeepan, S., Ding, M., Thayasivam, U. & Gomez, K. M., Jul 2 2018, 2018 IEEE International Conference on Communication Systems, ICCS 2018. Institute of Electrical and Electronics Engineers Inc., p. 173-179 7 p. 8689199. (2018 IEEE International Conference on Communication Systems, ICCS 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
A pattern recognition approach to signal to noise ratio estimation of speech
Awolumate, P. A., Rudy, M., Ramachandran, R. P., Bouaynaya, N. C., Dahm, K. D., Nazari, R. & Thayasivam, U., Jun 24 2017, In: ASEE Annual Conference and Exposition, Conference Proceedings. 2017-JuneResearch output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Autoantibodies as diagnostic biomarkers for the detection and subtyping of multiple sclerosis
DeMarshall, C., Goldwaser, E. L., Sarkar, A., Godsey, G. A., Acharya, N. K., Thayasivam, U., Belinka, B. A. & Nagele, R. G., Aug 15 2017, In: Journal of Neuroimmunology. 309, p. 51-57 7 p.Research output: Contribution to journal › Article › peer-review
14 Scopus citations