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Kovalsky, Shahar Z

Shahar Kovalsky

Assistant Professor
Phillips Hall 306

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


Metcalfe Awarded for Excellence

Metcalfe Awarded for Excellence

Metcalfe Awarded for Excellence in Teaching… Morgan wins Boka Hadzija Award

Morgan wins Boka Hadzija Award

Congratulations to Katrina Morgan, who won the 2019 Boka Hadzija Award...