Area of research
Signal Processing · Cognitive Neuroscience
Research interest
Research interests include Blind Source Separation Techniques, Neural Networks and Applications, EEG and Brain-Computer Interfaces, and Neural dynamics and brain function.
Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance
CW_ICA: an efficient dimensionality determination method for independent component analysis
A generalizable methodology for predicting retention time of small molecule pharmaceutical compounds across reversed-phase HPLC columns
A comparative metabolomics analysis of Açaí ( <scp> <i>Euterpe oleracea</i> </scp> Mart.) fruit, food powder, and botanical dietary supplement extracts
A Generalizable Methodology for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-Phase Hplc Columns
Towards Classification of Covariance Matrices via Bures-Wasserstein-Based Machine Learning
Strain-Level Discrimination of Bacteria by Liquid Chromatography and Paper Spray Ion Mobility Mass Spectrometry
CW_ICA: An Efficient Dimensionality Determination Method for Independent Component Analysis
Species-level discrimination of microorganisms by high-resolution paper spray – Ion mobility – Mass spectrometry
Classification of EEG signals: An interpretable approach using functional data analysis