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Vernerey, Divya E.

Teaching Associate Professor

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Research Areas research areas

Research

research overview

  • Dr. Vernerey's research interests are mathematical modeling and solving systems of nonlinear reaction-diffusion equations. This work in applied mathematics utilizes her training in mathematical physics, differential equations, asymptotical and perturbation methods, and numerical solutions of partial differential equations. These areas have been the building blocks for her research in the mathematical modeling of frontal polymerization. This area of research opens the door to fascinating studies at the interface between mathematics, physics, chemistry, and biology. One such multi-disciplinary topic is combustion theory (exothermic polymerization waves are in many respects similar to combustion waves) and another involves the emerging field of tissue engineering and tissue growth. This later application typically deals with diffusion-reaction equations, which can, in some cases lead to the propagation of degradation fronts.

keywords

  • partial differential equations, traveling waves in nonlinear reaction-diffusion systems, frontal polymerization

Publications

Teaching

courses taught

  • APPM 4120 - Introduction to Operations Research
    Primary Instructor - Spring 2018 / Spring 2020 / Spring 2022
    Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the Kuhn-Tucker conditions, as time permits. Same as APPM 5120 and MATH 4120 and MATH 5120.
  • APPM 4650 - Intermediate Numerical Analysis 1
    Primary Instructor - Spring 2019 / Spring 2021 / Spring 2022
    Focuses on numerical solution of nonlinear equations, interpolation, methods in numerical integration, numerical solution of linear systems, and matrix eigenvalue problems. Stresses significant computer applications and software. Department enforced prerequisite: knowledge of a programming language. Same as MATH 4650.
  • APPM 5120 - Introduction to Operations Research
    Primary Instructor - Spring 2018 / Spring 2020 / Spring 2022
    Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the Kuhn-Tucker conditions, as time permits. Recommended prerequisites: APPM 3310 OR MATH 2130 OR MATH 2135 or equivalent. Same as APPM 4120 and MATH 4120 and MATH 5120.
  • CSCI 2820 - Linear Algebra with Computer Science Applications
    Primary Instructor - Fall 2023 / Fall 2024
    Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues. Includes the basics of floating point computation and numerical linear algebra. Same as CSPB 2820.
  • CSCI 3104 - Algorithms
    Primary Instructor - Spring 2024
    Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy algorithms, dynamic programming, linear programming, graph algorithms, problems in P and NP, and approximation algorithms. Same as CSPB 3104.
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