Sigal Gottlieb

faculty

, PhD

Chancellor Professor

Mathematics

Curriculum Vitae
Research Website

Contact

Education

1998Brown UniversityPhD
1995Brown UniversityScM
1993Brown UniversityScB

Teaching

  • Numerical Analysis
  • Scientific Computing
  • Differential Equations

Teaching

Programs

Research

Research awards

Research

Research interests

  • My research interests are numerical analysis and scientific computing. Specifically, I am interested in high-order numerical methods for simulation of hyperbolic PDEs with shocks.
  • WENO, spectral, and pseudo spectral methods, as well as strong stability preserving time discretizations.
  • Reduced basis methods for solving PDEs with many parameters.
  • Weighted essentially non-oscillatory methods

Select publications

See curriculum vitae for more publications

  • Sigal Gottlieb, David Ketcheson, and Chi-Wang Shu (2011).
    Strong Stability Preserving Runge-Kutta and Multistep Time Discretizations
  • Jan Hesthaven, Sigal Gottlieb, and David Gottlieb (2007).
    Spectral Methods for Time-Dependent Problems

Sigal Gottlieb joined UMass Dartmouth in 1999 and is currently a Chancellor Professor in the Mathematics department. Her area of research is in computational and applied mathematics, and her work has been continually funded by the Air Force Office of Scientific Research (AFOSR) and the National Science Foundation (NSF). She is a Fellow of the Society of Industrial and Applied Mathematics and of the Association for Women in Mathematics.

Dr. Gottlieb was one of the founders and founding director of the Center for Scientific Computing and Data Science Research, the hub for computational science research at UMass Dartmouth and aims to support faculty doing computational research at UMass Dartmouth and promote internationally recognized computational research that advances the fields of modern applied science, data-driven and data science algorithms. She has led several successful equipment proposals for large-scale computing clusters that support the research of CSCDR affiliates.

In related activities, she was instrumental in the development of new academic programs, including the EAS doctoral program and the Data Science BS and MS programs. Finally, Dr. Gottlieb has served in the Research, Scholarship, and Innovation committee since its inception, and as chair for the past two academic years.

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