Research Output 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 Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
Data mining
Engineering & Materials Science
Clustering algorithms
Engineering & Materials Science
Robust Estimation
Mathematics
Classifiers
Engineering & Materials Science
Pulse amplitude modulation
Engineering & Materials Science
Model Comparison
Mathematics
Expectation Maximization
Mathematics
Count Data
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
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
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)
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
Robust speaker verification with a two classifier format and feature enhancement
Edwards, J. S., Ramachandran, R. & Thayasivam, U., Sep 25 2017, IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 8050775Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Classifiers
Fusion reactions
Additive noise
Analysis of variance (ANOVA)
Authentication
Accuracy of class prediction using similarity functions in PAM
Thayasivam, U., Hnatyshin, V. & Muck, I. B., May 19 2016, Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-May. p. 586-591 6 p. 7474815Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Clustering algorithms
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