Shahla Nasserasr Headshot

Shahla Nasserasr

Assistant Professor

School of Mathematics and Statistics
College of Science

585-475-5150
Office Hours
Wednesdays: 2:00pm -- 4:00pm, Thursdays: 10:00am-- 11:00am, or by appointment
Office Location

Shahla Nasserasr

Assistant Professor

School of Mathematics and Statistics
College of Science

Bio

My research interests include combinatorial matrix theory, spectral graph theory, totally positive matrices, and graph theory. I am particularly fascinated by the inverse eigenvalue problem in graphs and its applications.

The inverse eigenvalue problem is so intriguing that even AI has produced a podcast about it! Here’s an example of a podcast discussing one of my recent papers on the topic.

Currently Teaching

MATH-200
3 Credits
This course prepares students for professions that use mathematics in daily practice, and for mathematics courses beyond the introductory level where it is essential to communicate effectively in the language of mathematics. It covers various methods of mathematical proof, starting with basic techniques in propositional and predicate calculus and set theory, and then moving to applications in advanced mathematics.
MATH-241
3 Credits
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course.
MATH-495
1 - 3 Credits
This course is a faculty-directed project that could be considered original in nature. The level of work is appropriate for students in their final two years of undergraduate study.
MATH-689
1 - 4 Credits
Special Topics courses cover content that is not represented in the main curriculum on an experimental or trial basis.
MATH-799
1 - 3 Credits
Independent Study