Valdosta State University - Mathematics
First Christian Church (Disciples of Christ)
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Mathematica
Curriculum Development
Calculus
Mathematical Modeling
Algebraic Topology
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Discrete Mathematics
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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
IRB
Valdosta State University Office of Career Opportunities
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
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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