Sigal Gottlieb, PhD

Chancellor Professor / Acting Vice Chancellor

Office of Research Administration

Curriculum Vitae
Research Website

508-999-8205

508-910-6917

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Liberal Arts 394D

Education

1993Brown UniversitySc.B.
1995Brown UniversitySc.M.
1998Brown UniversityPhD

Teaching

  • Numerical Analysis
  • Scientific Computing
  • Differential Equations

Teaching

Programs

Teaching

Courses

Research investigations of a fundamental and/or applied nature defining a topic area and preliminary results for the dissertation proposal undertaken before the student has qualified for EAS 701. With approval of the student's graduate committee, up to 15 credits of EAS 601 may be applied to the 30 credit requirement for dissertation research.

Introduction to the diverse ethical concerns, challenges and responsibilities that arise when engaging in scientific research. Students will have opportunities to reflect upon and discuss their own ethical constructs in the face of practical ethical dilemmas.

A seminar series on interdisciplinary research topics by prominent speakers in EAS fields and student presentations on research in progress. May be repeated for credit.

Numerical methods for solving parabolic, hyperbolic, and elliptic partial differential equations. The course will emphasize the concepts of consistency, convergence and stability. Topics include: implicit and explicit methods, truncation error, Von Newmann stability analysis, and the Lax equivalence theorem.

Numerical methods for solving parabolic, hyperbolic, and elliptic partial differential equations. The course will emphasize the concepts of consistency, convergence and stability. Topics include: implicit and explicit methods, truncation error, Von Newmann stability analysis, and the Lax equivalence theorem.

Research

Research Awards

  • $ 600,000.00 A Multi-Architecture Hardware Computing Cluster for the Development and Efficient
  • $650,000.00 Implementation of a Contextualized Computing Pedagogy in STEM Core Courses and Its Impact on Undergraduate Student Academic Success, Retention, and Graduation

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

  • 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.

External links

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