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Associate Professor

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(205) 934-2154
Campbell Hall 475B

Research and Teaching Interests: Computational Mathematics, Numerical Analysis, Optimization, Multilinear and Linear Algebra and Control Theory.

Office Hours: M/W 10:15 - 11:45 a.m.; and by appointment

Education:

  • B.S., University of California at Berkeley, Mathematics
  • Ph.D., University of California at Davis, Applied Mathematics

After graduate school, I held several postdoctoral positions at University of Waterloo, Canada, UCLA, and Centre National de la Recherche Scientifique, France. Before coming to UAB, I was an assistant professor at Rochester Institute of Technology and Clarkson University in New York.

pdfDownload Curriculum Vitae

Personal Website

Research Interests

Linear and multilinear algebra, numerical linear algebra, data sciences, optimization and control, and partial differential equations.

Recent Courses

  • Calculus
  • Introduction to Linear Algebra
  • Introduction to Optimization
  • Numerical Linear Algebra
  • Dynamical Systems
  • Scientific Programming

Select Publications

  • C. Navasca and X. Wang. Adaptive Low Rank Approximation of Tensors. 2015 IEEE International Conference on Computer Vision Workshop, 939-45, Santiago, Chile, 2015.
  • S. Kindermann and C. Navasca. New Algorithms for Tensor Decomposition based on a Reduced Functional. Numerical Linear Algebra and Applications, 21 (3) (2014), 340-74.
  • P. Hopke, N. Li, C. Navasca, K. Pramod, S. Smith and Y. Zhao. Source Apportionment of Time and Size Resolved Ambient Particulate Matter. J. Chemometrics and Intelligent Laboratory Systems, 129 (2013), 15-20.
  • S. Kindermann, N. Li and C. Navasca. Some Convergent Results of the Regularized Alternating Least-Squares for Tensor Decomposition. Linear Algebra and Applications, 438 (2) (2013), 796-812.
  • M. Brazell, N. Li, C. Navasca, C. Tamon. Solving Multilinear Systems via Tensor Inversion. SIAM Journal on Matrix Analysis and Applications. SIAM Matrix Analysis, 34-2 (2013), 542-70.
  • K. Morris and C. Navasca. Approximation of Low Rank Solutions for Linear Quadratic Feedback for Partial Differential Equations. Computational Optimization and Applications, 46 (1) (2010), 93-111.
  • Lieven De Lathauwer, C. Navasca and S. Kinderman. Swamp Reducing Technique for Tensor Decomposition. Proceedings of the European Signal Processing Conference, Lausanne, Switzerland, Aug 2008.
  • A. Krener and C. Navasca. Patchy Solution of the Hamilton-Jacobi-Bellman PDE, in Chiuso, Ferrante and Pinzoni, eds, Modeling, Estimation and Control, Lecture Notes in Control and Information Sciences, 364, Springer, Berlin, 251-70, 2007.
  • C-Y. Kao, C. Navasca and S. Osher. The Lax-Friedrichs SweepingMethod for Optimal Control Problem in Continuous and Hybrid Dynamics. J. Nonlinear Analysis, 63 (5-7), 1561-572, 2005.
Link to all publications

Academic Distinctions & Professional Memberships

  • Society for Industrial and Applied Mathematics (SIAM)

Student Groups

  • UAB Chapter of the Society for Industrial and Applied Mathematics (SIAM)