# Ivica Kopriva

## PhD

1842

Radionice 2/102

Division LAIR

Ruđer Bošković Institute

Bijenička cesta 54

10000 Zagreb, Croatia

CV_NZZ_IK.doc 163.00 kB

- Education
- Projects
- Awards and Achievements
- Classes
- Featured Publications
- Membership in professional associations / societies

### Education

PhD in Electrical Engineering 1998., Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

MS in Electrical Engineering 1990., Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

BS in Electrical Engineering 1987., Military Technical Faculty, Zagreb, Croatia

### Projects

098-0982903-2558, "Multispectral data analysis", Ministry of Science, Education and Sports, Republic of Croatia

### Awards and Achievements

2010 Award of the Ruđer Bošković Institute

2009 State Award of the Republic of Croatia in the field of technical sciences

### Classes

"Blind source separation and independent component analysis," graduate course at the Faculty of Electrical Engineering and Computing, Univesity of Zagreb, Zagreb, Croatia

### Featured Publications

T.-M. Huang, V. Kecman, I. Kopriva, "Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised and Unsupervised Learning," Springer Series: Studies in Computational Intelligence, Vol. 17, XVI, ISBN: 3-540-31681-7, 2006.

I. Kopriva, M. Hadžija, M. Popović-Hadžija, M. Korolija, A. Cichocki (2011). Rational Variety Mapping for Contrast-Enhanced Nonlinear Unsupervised Segmentation of Multispectral Images of Unstained Specimen, *The American Journal of Pathology*, vol. 179, No. 2, pp. 547-553 (IF: 5.22).

I. Kopriva (2010). Tensor Factorization for model-free space-variant blind deconvolution of the single- and multi-frame multi-spectral Image, *Optics Express*, vol. 18, No. 17, pp. 17819-17833 (IF 3.278).

I. Kopriva, I. Jerić (2010). Blind separation of analytes in nuclear magnetic resonance spectroscopy and mass spectrometry: sparseness-based robust multicomponent analysis, *Analytical Chemistry*, vol. 82, pp. 1911-1920* *(IF: 5.21).

I. Kopriva, I. Jerić, V. Smrečki (2009). Extraction of multiple pure component ^{1}H and ^{13}C NMR spectra from two mixtures: novel solution obtained by sparse component analysis-based blind decomposition, *Analytica Chimica Acta*, vol. 653, pp. 143-153 (IF: 3.757).

I. Kopriva, I. Jerić (2009). Multi-component Analysis: Blind Extraction of Pure Components Mass Spectra using Sparse Component Analysis, *Journal of Mass Spectrometry*, vol. 44, issue 9, pp. 1378-1388* *(IF: 2.94)*.*

I. Kopriva, A. Cichocki (2009). Blind Multi-spectral Image Decomposition by 3D Nonnegative Tensor Factorization, Optics Letters vol. 34, No. 14, pp 2210-2212(IF: 3.06).

I. Kopriva and A. Peršin (2009). Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation, *Medical Image Analysis *13, 507-518 (IF: 3.6).

I. Kopriva, (2007). Approach to Blind Image Deconvolution by Multiscale Subband Decomposition and Independent Component Analysis, *Journal Optical Society of America A*, Vol. 24, No.4, pp. 973-983 (IF: 2.002).

I. Kopriva (2005). Single Frame Multichannel Blind Deconvolution by Non-negative Matrix Factorization with Sparseness Constraint, *Optics Letters*, Vol. 30, No. 23, pp. 3135-3137 (IF: 3.882)*.*

I. Kopriva, Q. Du, H. Szu and W. Wasylkiwskyj (2004). Independent Component Analysis Approach to Image Sharpening in the Presence of Atmospheric Turbulence, *Optics Communications*, Vol. 233 (1-3) pp. 7-14 (IF: 1.581).

I.Kopriva, H.H.Szu, A.Persin. (2002). Optical Reticle Trackers with Multi-Source Dicrimination Capability By Using Independent Component Analysis, *Optics Communications*, Vol. 203 (3-6) pp. 197-211 (IF: 1.488).

I. Kopriva, A. Peršin. (1999). Discrimination of optical sources by use of adaptive blind source separation theory, *Applied Optics*, Vol. 38, No. 7, pp. 1115-1126 (IF: 1.515).

### Membership in professional associations / societies

Senior member of the IEEE

Member of the Optical Society of America