Matthew Buchta

Institution/Organization: Arizona State University

Department: Mathematics

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering;
Applications in science, engineering, and industry;
Data assimilation, challenges in data science, math of AI and ML;
Education and interdisciplinary programs in CSE;
Multiscale, multiphysics, and multilevel methods;
Quantum algorithms, quantum computation, and quantum information science


My current research is in computational fluid dynamics. I am making additions to a published paper (written by H. Grayer and others in my group) on the dynamics inside a stably stratified tilted square cavity. Recent studies have shown that the normalized version of what is called the “Q criterion” (a value calculated with the spin and stress tensors of a flow) has been effective for the identification of vortices in a flow. The normalized quantity is bounded between -1 and 1 such that positive values are associated with vortical flow. My recent work has been to take this definition of a vortex and use it to numerically determine the vortical structure of fluid flows inside the stratified square cavity.

My academic interests are primarily within applied mathematics/computational science. I am very interested in computational fluid dynamics (and just fluid dynamics) with applications in engineering and physics. I also would like to learn more about image analysis and other applications of scientific computing.

Non-Work Related Activities/Interests:

One of my main hobbies is astrophotography. I have a Dobsonian reflector with a 10 inch mirror that I use to take my photos (mainly of the planets). In Spring 2019, I participated in an astronomy program with the ASU Astrodevils where we worked computer-guided telescopes for a Girl Scout event, allowing groups to use them for observation. I also love hiking and backpacking in the national forests.