Igor Zingman

Address		Igor Zingman Universität Konstanz Informatik und Informationswissenschaft Fach 697 78457 Konstanz Germany
Room		Z716
Phone		+49 (0) 7531 88-4373
Fax		+49 (0) 7531 88-4715
E-mail		igor.zingman(at)uni-konstanz.de

Advisors

Prof. Karsten Lambers
Prof. Dietmar Saupe

Vita

Working Experience
Since 01/2011		Researcher at the Department of Computer and Information Science, University of Konstanz.
05/2005-12/2010		Algorithms Engineer at R&D department of Given Imaging Ltd., Yokneam
10/2001-07/2004		Teaching Assistant, Department of Electrical Engineering, Technion - Israel Institute of Technology, Haifa
03/2001-8/2001		Hardware Engineer, Intel Development Center, Haifa
Education
Since 09/2011		Associated member of the Graduiertenkolleg (PhD Program)
Since 04/2011		Doctoral student at the Department of Computer and Information Science, University of Konstanz.
2005		M.Sc in Electrical Engineering, Technion-Israel Institute of Technology, Haifa
2001		B.Sc. in Electrical Engineering, Technion-Israel Institute of Technology, Haifa

Research Interests

Image analysis and pattern recognition

Feature extraction
Mathematical morphology
Perceptual grouping
Shape and texture analysis
Segmentation techniques
Detection and classification of objects and abnormalities

Research Project

Silvretta Historica project. The project is partially supported by Zukunftskolleg
The goal of this project is the development of automated or semi-automated methods for detection of archaeological sites or traces of human settlements in high resolution satellite images. During the course of this project the general methodology and new approaches for detection and analysis of archaeological sites and features will be developed. The developed methodology will be further applied to the images acquired from the Silvretta High Alps region located along Swiss-Austrian border.

Recent Peer-reviewed Publications

Submitted Publications / Publications in Press / Recently Published

Zingman, I., Saupe, D., Lambers, K., Morphological Operators for Segmentation of high contrast textured regions in remotely sensed imagery, January 2012, submitted.

Earlier Peer-reviewed Publications

I. Zingman, Novel algorithm for extraction of an object with an approximately convex boundary. The 7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2010, Innsbruck)

I. Zingman, R. Meir, R. El-Yaniv. Size-density spectra and their application to image classification. Pattern Recognition, 40(12): 3336-3348, 2007