Research Interests:

Dynamical systems, machine learning, system theory, computer systems, communications systems and bioinformatics.

Selected Publications:

• E. Sakk and A. Alexander, "On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem", Applied Computational Intelligence and Soft Computing, 2013.
• Lisa M. Schechter, Joy C. Valenta1, David J. Schneider, Alan Collmer, and Eric Sakk,"Functional and Computational Analysis of Amino Acid Patterns Predictive of Type III Secretion System Substrates in Pseudomonas syringae", PLOS ONE, Volume 7, April 2012.
• E. Sakk and S. Small, "The Fourier Convolution Theorem over Finite Fields: Extensions of its Application to Error Control Coding", Chapter 9 in Fourier Transform Applications, 2012, InTech Publishers.
• E. Sakk and I. E. Odebode, "Vector Space Information Retrieval Techniques for Bioinformatics Data Mining", Chapter 4 in Bioinformatics: Trends and Methodologies, 2011, InTech Publishers.
• E. Sakk, D.J. Schneider, C.R. Myers and S.W. Cartinhour. The effect of target vector selection on the invariance of classifier performance measures, IEEE Transactions on Neural Networks, 20, p745-757, May 2009.
• E. Sakk, On the computation of molecular surface correlations for protein docking using Fourier techniques, Journal of Bioinformatics and Computational Biology, 5, p915-935, August 2007.