Sigal Gottlieb, PhD
Liberal Arts 394D
- Numerical Analysis
- Scientific Computing
- Differential Equations
- Data Science BS, BS/MS
- Data Science Graduate Certificate
- Data Science MS
- Engineering and Applied Science PhD
- Mathematics BA, BS
- $ 130,113 awarded by U.S. Department of the Air Force for Computationally and Energy Efficient Mixed Precision and Mixed-model Numerical Methods
- $ 145,000 awarded by Michigan State University | U.S. Department of Energy for Center for Hierarchical and Robust Modeling of Non- Equilibrium Transport (CHaRMNET)
- $ 296,555 awarded by The National Science Foundation for Reduced Basis Enhancements of Neural Networks and Their Application to Quantum Materials Simulation
- $ 600,000 awarded by The Air Force Office of Scientific Research for A multi-architecture hardware computing cluster for the development and efficient implementation of a variety of robust and scalable numerical algorithms
- $ 435,393 awarded by Office of Naval Research for UMassD MUST II: Computational Strategies for Scientific Data-Driven Learning for Marine and Undersea Technology Applications
- 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
- 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.
Latest from Sigal
- May 10, 2018 Zachary Grant '13, PhD '18: Engineering and Applied Science
- March 26, 2018 Persistence paid off for math and psychology major
- February 28, 2018 The impact of teaching math
- June 27, 2016 AfterMath Symposium 2016
- December 9, 2014 Sidafa Conde '12: Pursuing a PhD in Engineering and Applied Science
- December 9, 2014 Dr. Sigal Gottlieb: Advancing scientific computing
- January 14, 2022 U.S. Air Force awards mathematics professor with $600,000 grant
- November 12, 2020 UMass Dartmouth professors to use fastest supercomputer in the nation for research
- November 9, 2020 Mathematics Professor chosen for prestigious Association for Women in Mathematics Fellowship