Development of genetic algorithm based classification and cluster analysis methods for analytical data

In-depth investigation of the effects of different preprocessing strategies on infrared spectroscopic data

Development of chromatographic and moleculer spetroscopic multivariate chemometric models for the geographical classification of olive oils

Multivariate statistical optimization of enzyme immobilization onto solid matrix using central composite design

Development of clustering and classification strategies for the determination of geographical origin of honey by using atomic and molecular spectrometry

Spectroscopic determination of industrial oil blends using multivariate calibraton

Development of new chemometrics approaches to determine physical and chemical properties of crude distillation unit products based on molecular spectroscopy

Determination of Crucial Parameters in gasoline blends by using infrared spectroscopy coupled with multivariate calibration methods.

Development of molecular fluorescence spectroscopy based multivariate calibration models for quantitative determination of fatty acids and triacylglycerol compositions of olive oils

Determination of hydrocarbon composition of naphtha by using Fourier transform infrared spectroscopy and multivariate calibration

Development of chemometric calibration toolbox and its application for determination of salep adulteration

Development of rapid and simple spectroscopic techniques based on chemometrics data analysis for the determination of goat milk adulteration with cow milk