Shaun Ault

 ShaunV. Ault

Shaun V. Ault

  • Courses5
  • Reviews19

Biography

Valdosta State University - Mathematics


Resume

  • 2015

    First Christian Church (Disciples of Christ)

    Public Speaking

    Teaching

    Mathematica

    Curriculum Development

    Calculus

    Mathematical Modeling

    Algebraic Topology

    Combinatorics

    Tutoring

    Computational Mathematics

    LaTeX

    Discrete Mathematics

    Algorithms

    Linear Algebra

    College Teaching

    Algebra

    University Teaching

    Research

    Theory

    Higher Education

    Symmetric Homology of Algebras

    Symmetric Homology of Algebras

    Bott periodicity in the Hit Problem

    Charles Kicey

    Table of Contents\n1 Lattice Paths and Corridors\n2 One-Dimensional Lattice Walks\n3 Lattice Walks in Higher Dimensions\n4 Corridor State Space\nA Review: Complex Numbers\nB Triangular Lattices\nSelected Solutions\nIndex

    Counting Lattice Paths Using Fourier Methods

    Sudhir Goel

    Georgia Journal of Science

    74(2)

    Article 20

    Using simple concepts that middle and high school students should be able to grasp

    including “clock face arithmetic

    ” the standard multiplication table

    and adding the digits of a number together

    more abstract concepts such as modular arithmetic and cyclic groups may be introduced at an early stage in the students’ mathematical career. We find this approach to be organic and appealing to most students

    encouraging them to think in different ways about familiar objects

    and we encourage educators to test the concepts in their own classrooms.

    Introducing Abstract Mathematics through Digit Sums and Cyclic Patterns

    Undergraduate topology textbook with hundreds of illustrations

    exercises

    and other features. Balancing mathematical rigor with intuitive and hands-on demonstration of concepts.

    Understanding Topology: A Practical Introduction

    Rene J. Perez

    Abstract—We use speech recognition algorithms daily with our phones

    computers

    home assistants

    and more. Each of these systems use algorithms to convert the sound waves into useful data for processing which is then interpreted by the machine. Some of these machines use older algorithms while the newer systems use neural networks to interpret this data. These systems then produce an output generated in the form of text to be used. A large amount of training data is needed to make these algorithms and neural networks function effectively.\nIndex Terms—Speech recognition

    neural network

    Markov model

    Gaussian mixture model

    principal component analysis

    K-means clustering

    EM algorithm

    maximum likelihood

    MIXFIT.

    On Speech Recognition Algorithms

    In this short paper we examine a curious feature of the Collatz\nfunction. When the sequences generated by the Collatz function on consecutive\ninteger initial points are arranged into an array

    certain arithmetic sequences\nshow up with common differences given by products of twos and threes. The\ncommon differences themselves are further related by a formula that depends\non even versus odd input. While we do not solve the Collatz Conjecture by\nthis observation

    we present our findings as interesting mathematical results\nin their own rights.

    Arithmetic sequences and blocks of powers of two in the Collatz array

    Erd˝os-Szekeres Tableaux

    Nicholas Courtois

    Statistics of random permutations and the cryptanalysis of periodic block ciphers

    Guifen Mao

    William K. Porter

    Sean D. Holcomb

    The goal of this paper is to give insight into what the company\nknown as DeepMind is and what accomplishments it is making in\nthe fields of Machine Learning and Artificial Intelligence. Among\ntheir accomplishments

    particular focus will be placed upon the\nrecent success of AlphaGo Zero which made waves in the\nmachine learning and artificial intelligence communities. The\nvarious parts of AlphaGo Zero’s implementation such as\nreinforcement learning

    neural networks

    and Monte Carlo Tree\nSearches will be explained with brevity to give better\nunderstanding of the process as a whole.

    Overview on DeepMind and Its AlphaGo Zero AI

    Guifen Mao

    Mallory Helms

    Machine learning is quickly becoming a major field of research\nfor many technology companies. Google

    perhaps

    is at the\nforefront of this movement and have instituted an entire research\nteam called Google Brain to explore the technical aspect and\napplications of large scale neural networks. Thus far

    the group\nhas developed advancements in the areas of natural language\nrecognition

    open-source deep learning software

    and healthcare\nrelated uses for computer vision assisted diagnosis.

    An Overview of Google Brain and Its Applications

    William Singer

    On the homology of elementary Abelian groups as modules over the Steenrod algebra

    Charles Kicey

    Counting paths in corridors using circular Pascal arrays

    Homology Operations in Symmetric Homology

    Relations among the kernels and images of Steenrod squares acting on right A-modules

    Implementation of Stanley’s algorithm for projective group imbeddings

    Shaun

    Ault

    Valdosta State University

    Fordham University

    Valdosta

    GA

    Department Head - Mathematics

    Valdosta State University

    Valdosta

    Georgia

    Assistant Professor

    Valdosta State University

    Valdosta

    GA

    Teaching 4-4 load with research and service expectations. Current research interests: algebraic topology

    enumerative combinatorics

    and computational mathematics.

    Associate Professor

    Valdosta State University

    Bronx

    NY

    Post-doctoral research and teaching position.

    Assistant Professor

    Fordham University

    Society for Industrial and Applied Mathematics (SIAM)

    American Mathematical Society (AMS)

    Honorary Inductee

    Pi Mu Epsilon

    Mathematical Association of America (MAA)

    International honors society in education

    Kappa Delta Pi

  • 2014

    IRB

    Valdosta State University Office of Career Opportunities

  • 2002

    Doctor of Philosophy (Ph.D.)

    Research area: algebraic topology. \nThesis: \"On the Symmetric Homology of Algebras.\" \nAdvisor: Zbigniew Fiedorowicz.

    Mathematics

    VIGRE Fellow

    The Ohio State University

  • 1997

    English

    Bachelor of Music (B. Mus.)

    Music Composition

    Oberlin Conservatory of Music

    Bachelor of Arts (B.A.)

    Mathematics

    Oberlin Gilbert and Sullivan Players

    Oberlin College

    Graduate faculty status

    Valdosta State University

  • Shaun Ault | Valdosta State University - Academia.edu

    Shaun Ault | Valdosta State University - Academia.edu

    Habitat for Humanity International

    Participant (fundraising)

    Relay for Life

    Den Leader (various dens)

    Boy Scouts of America > Cub Scouts

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