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
Fingerprint Dive into the research topics where Umashanger Thayasivam is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Data mining
Engineering & Materials Science
Autoantibodies
Medicine & Life Sciences
Biomarkers
Medicine & Life Sciences
Clustering algorithms
Engineering & Materials Science
Robust Estimation
Mathematics
Classifiers
Engineering & Materials Science
Pulse amplitude modulation
Engineering & Materials Science
Model Comparison
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2013 2017
- 2 Finished
Research Output 2009 2019
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
Pulse amplitude modulation
Clustering algorithms
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
data mining
Redundancy
Data mining
data collection method
redundancy
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
Unmanned aerial vehicles (UAV)
Ray tracing
Air
Probability density function
Simulators
A pattern recognition approach to signal to noise ratio estimation of speech
Awolumate, P. A., Rudy, M., Ramachandran, R., Bouaynaya, N., Dahm, K., Nazari, R. & Thayasivam, U., Jun 24 2017, In : ASEE Annual Conference and Exposition, Conference Proceedings. 2017-JuneResearch output: Contribution to journal › Conference article
Pattern recognition
Signal to noise ratio
Additive noise
Biometrics
Identification (control systems)
5
Citations
(Scopus)
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., Aug 15 2017, In : Journal of Neuroimmunology. 309, p. 51-57 7 p.Research output: Contribution to journal › Article
Autoantibodies
Multiple Sclerosis
Biomarkers
Relapsing-Remitting Multiple Sclerosis
Protein Array Analysis