معرفی
Jennifer Erway is a Professor of Mathematics and Affiliate of Computer Science at Wake Forest University. Her primary research focuses on Computational Mathematics, specializing in Numerical Optimization, Computational PDEs (particularly finite element methods), and Numerical Linear Algebra. She leads research on large-scale optimization algorithms and develops computational methods for scientific applications.
Her research interests center on:
- Trust-region methods and quasi-Newton updates
- Numerical software development for optimization
- Applications in machine learning and imaging
- Sparse recovery and compressed sensing
- Matrix computations and eigenvalue problems
Her publications demonstrate consistent focus on developing efficient algorithms for optimization problems, with recent work expanding into machine learning applications. Research is primarily supported by NSF grants including DMS-08-11106, CMMI-1334042, and IIS-1741264.
Awards & Honors:
- Best Paper Award at World Congress on Engineering (2010)
- ORAU Ralph E. Powe Junior Faculty Enhancement Award
- Multiple NSF grants supporting computational mathematics research
Research Training: Has supervised numerous graduate and undergraduate students in mathematics and computational research, including PhD candidates and master's students working on optimization algorithms and numerical methods.
