# Kovalsky, Shahar Z

Assistant Professor

Phillips Hall 306

shaharko@unc.edu

Website

## Research Interests

Numerical optimization, computational geometry and imaging, machine learning and their applications in biology and medicine

## Professional Background

B.Sc ECE-Math, Ben Gurion University, Israel, 2007; M.Sc. ECE, Ben Gurion University, Israel, 2008; Ph.D Applied Math and Computer Science, Weizmann Institute of Science, Israel, 2016; Postdoctoral positions: Weizmann Institute of Science, 2016, Duke University, 2016-2020.

## Research Synopsis

My research focuses on numerical optimization, applied geometry, computer graphics, vision and machine learning, with applications to the sciences and engineering. I am particularly interested in problems involving, in a very broad sense, optimization and geometry: various aspects of shape representation, processing, manipulation, analysis and comparison, but also problems pertaining to the geometrical properties of general signals and data; my passion is in constructing and analyzing algorithms for dealing with ''real-world'' data and problems.

## Representative Publications

*Application of a Machine Learning Algorithm to Predict Malignancy in Thyroid Cytopathology*

D. Range, D. Dov, S.Z. Kovalsky, R. Henao, L. Carin, J. Cohen,

Cancer Cytopathology, 128,4,287-295, 2020

*Non-Convex Planar Harmonic Maps*

S.Z. Kovalsky, N. Aigerman, I. Daubechies, M. Kazhdan, J. Lu, S. Steinerberger,

arXiv, online, 01/05, 2020, 2020

*Controlling Singular Values With Semidefinite Programming*

S.Z. Kovalsky, N. Aigerman, R. Basri, Y. Lipman,

Association for Computing Machinery Transactions on Graphics, 33, 4, 68, 1-13, 2014