2017 - IEEE Fellow For contributions to computational intelligence in bioinformatics and mechatronics
His research is interdisciplinary, bridging the disciplines of Geometry and Product (mathematics). His research on Geometry often connects related topics like Product (mathematics). His research ties Quality (philosophy) and Epistemology together. His research on Quality (philosophy) frequently connects to adjacent areas such as Epistemology. Quantum mechanics and Power (physics) are commonly linked in his work. His Reliability (semiconductor) research extends to Power (physics), which is thematically connected. His research ties Quantum mechanics and Reliability (semiconductor) together. In his study, he carries out multidisciplinary Cluster analysis and Machine learning research. He integrates Machine learning with Artificial intelligence in his study.
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Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
A. Ratnaweera;S.K. Halgamuge;H.C. Watson.
IEEE Transactions on Evolutionary Computation (2004)
Dynamic self-organizing maps with controlled growth for knowledge discovery
D. Alahakoon;S.K. Halgamuge;B. Srinivasan.
IEEE Transactions on Neural Networks (2000)
Neural networks in designing fuzzy systems for real world applications
S. K. Halgamuge;M. Glesner.
Fuzzy Sets and Systems (1994)
CONTRA: copy number analysis for targeted resequencing
Jason Li;Richard Lupat;Kaushalya C. Amarasinghe;Ella R. Thompson.
Fuel economy improvements for urban driving : Hybrid vs. intelligent vehicles
Chris Manzie;Harry Watson;Saman Halgamuge.
Transportation Research Part C-emerging Technologies (2007)
Algorithm selection for black-box continuous optimization problems
Mario A. Muñoz;Yuan Sun;Michael Kirley;Saman K. Halgamuge.
Information Sciences (2015)
Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features
Ferdous Wahid;Rezaul K. Begg;Chris J. Hass;Saman Halgamuge.
IEEE Journal of Biomedical and Health Informatics (2015)
A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems
G. Coath;S.K. Halgamuge.
congress on evolutionary computation (2003)
Combining News and Technical Indicators in Daily Stock Price Trends Prediction
Yuzheng Zhai;Arthur Hsu;Saman K Halgamuge.
international symposium on neural networks (2007)
Reducing the Number of Training Samples for Fast Support Vector Machine Classification
Ravindra Koggalage;Saman Halgamuge.
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