Gerda Kamberova's Personal Home Page, Hofstra University

Dr. Gerda Kamberova
Professor, Graduate Director
103 Hofstra University
Department of Computer Science
Hempstead, NY 11566
USA

Phone:	+1 (516) 463-5775
Fax:	+1 (516) 463-5790
E-mail:	cscglk@hofstra.edu
Office:	114 Adams Hall

Research | Publications | Teaching | Web Links

Education and Experience

PhD in Computer Science, University of Pennsylvania, Philadelphia, Dec 1992
MS in Mathematics, Sofia University "St. Kliment Ochridsky", Bulgaria, 1982
Previous Teaching/Research experience: Rice University, University of Pennsylvania, Washington University in St. Louis

Program Committees

Teaching

Fall 2018: CSC014 Discrete structures for computer science , CSC120 Algorithms and data structures, CSC204 Algorithm design and analysis.
Spring 2019: CSC014 Discrete structures for computer science I, CSC173 Introduction to computer vision, CSC204 Algorithm design and analysis, CSC279 Computer Vision.

Research

Computer Vision, Teleimmersion, Decision Making Under Uncertainty, Performance Evaluation, Sensor Fusion.
Projects: 3D Shape recovery, Geometry and topology of unorganized point clouds, Explainable AI, Genetic termoregulatory attributes of human skin

Publications

Book

G. Kamberova and S. Shah (Eds.), DNA Array Image Analysis: Nuts and Bolts, DNA Press LLC, 2002, ISBN 0-9664027-5-8

Selected Papers

Y. Kamberov, E. Karlsson, G. Kamberova, D. Lieberman, P. Sabetti, P. Morgan, C. Tabin, "A Genetic Basis of Variation in Eccrine Sweat Gland and Hair Follicle Density", Proc. National Academy of Sciences USA 112(32):9932-7, 2015.

G. Kamberov, G. Kamberova, M. Burlick,B. Luczynski. "Collaborative Track Analysis, Data Cleansing , and labeling", Proc. 7th International Conference in Visual Computing, Springer Lecture Notes in Computer Science, 2011.

G. Kamberov, G. Kamberova, " Geometric Integrability and Consistency of 3D Point Clouds", Proc. IEEE Intrnational Conference on Computer Vision, 2007.

G. Kamberov, G. Kamberova, O. Chum, S. Obdrzalek, D. Martinec, J. Kostkova, T. Pajdla, J. Matas, and R. Sara, "3D Geometry from Uncalibrated Images", 2nd Intl. Symposium on Visual Computing, Springer Lecture Notes in Computer Science, 2006.

G.Kamberov and G. Kamberova, A. Jain, "3D shape from unorganized 3D point clouds", Intl. Symposium on Visual Computing, Lake Tahoe, NV, Springer Lecture Notes in Computer Science, 3804, pp 621-629, 2005.

G. Kamberov and G. Kamberova, "Geometry of Unorganized Oriented Point Clouds", IEEE/ACM SIGGRAPH/Eurographics Proc 2nd International Symposium on 3D data processing, visualization, and transmission (3DPTV2004), Greece, 2004.

G. Kamberova and G. Kamberova, "Conformal Method for Quantitative Shape Extraction: Performance Evaluation", IEEE Proc. International Conference Pattern Recognition 2004, Cambridge UK, August 2004.

G. Kamberov and G. Kamberova, Recovering Surfaces from the Restoring Force, The European Conference of Computer Vision, ECCV 2002, Copenhagen, Denmark. Published in Lecture Notes in Computer Science, Volume 2351, pp 598-612, Springer-Verlag Berlin Heidelberg 2002.
K. Daniilidis, J. Mulligan, R. McKendall, D. Schmid, G. Kamberova, and R. Bajcsy, "Real-Time 3D Tele-immersion", in The Confluence of Vision and Graphics, A. Leonardis et al. (Eds.), Kluwer Academic Publishers, 2000.
G. Kamberova and M. Mintz, Minimax rules under zero-one loss for a restricted location parameter, Journal of Statistical Planning and Inference, Volume 7, Issue 2, pp 205-221, 1999.
G. Kamberova, R. Mandelbaum, M. Mintz and R. Bajcsy, "Robust fusion of location data," invited paper, Journal of the Franklin Institute, special issue on sensor fusion and integration, Volume 336, No 2, pp 269 - 285, 1999.
G. Kamberova and R. Bajcsy, "Sensor Errors and the Uncertainties in Stereo Reconstruction", in Empirical Evaluation Techniques in Computer Vision, edts: K. Bowyer and P. Jonathon Phillips, IEEE Computer Soc. Press, 1998.

Web Links

The computer vision homepage
CVonline: The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision