Anthony D. Rhodes Office: NH M324 |

Statistical Learning/Machine Learning, Computational Mathematics, Artificial Intelligence, Numerical Analysis,

Intellectual History, History of Mathematics, Mathematics Education, Historiography, Fin de Siecle Studies.

__Education__

**Ph.D.** Mathematical Sciences, Portland State University. (in progress)

<>Allied Field: Computer Science; Focus: Machine Learning

<>Dissertation: "Efficient Object Localizaton for Situation Recognition in Computer Vision."

<>Advisors: Melanie Mitchell, Computer Science, Portland State University;Bruno Jedynak, Statistics, Portland State University.

**M.S.** Mathematics, Portland State University.

<>Foci: Algebra, Topology, Discrete Mathematics, Analysis.

<>Thesis: "The Algebraic Structure of Cellular Automata."

**G.C.C.I.** Graduate Certificate in Computational Intelligence, Portland State University. (in progress)

**G.C.A.S.** Graduate Certificate in Applied Statistics, Portland State University.

**M.A.** History, Philosophy and German Studies, Portland State University.

<>Focus: Modern European Intellectual History

<>Thesis: "Jacob Burckhardt: History and the Greeks in the Modern Context."

**B.A.** Mathematics, with distinction, UC San Diego.

**B.A.** History, Minor: Classical Studies, with distinction, UC San Diego.

__Forthcoming Publications__

<>"Efficient Object Localization with the Situate Model" (expected 2016)

<>"Kernel Density Estimation for Object Localization in Computer Vision with Fast Multipole Expansion Using Depth Inference and Context-Based Importance Clustering" (expected 2016)

<>"Bayesian Optimization with Gaussian Processes for Object Localization" (expected 2016)

__Recent Work__

**Research Assistantship in Machine Learning and Visual Situation Recognition (Winter 2015-Present):** Abstract

<> This project investigates a novel approach to building computer systems that can recognize visual situations;

the approach explored integrates two previously-studied approaches: brain-inspired neural networks for lower-lever

vision and cognitive-level models of concepts and analogy-making.

<> Project is funded by the National Science Foundation (NSF).

<> Advisor: Melanie Mitchell , Computer Science, Portland State University.

**Lectures in Mathematics for Complex Systems Science (2014):**

<> Content/curriculum creation for large-scale courses for http://www.complexityexplorer.org,

a web-based repository of educational materials related to complex systems science.

<>Advisor: Melanie Mitchell, Computer Science, Portland State University.

*Click image to view my lecture series for 'complexity explorer' MOOC*

**Statistics Consultation for University Mathematics Placement Scores (Spring 2014):**

<> Directed a study to determine the overall efficacy of the undergraduate placement examination process at Portland State University.

<> Advisor: Mara Tableman (Statistics/Mathematics), Portland State University.

__Some Papers and Lecture Materials__

<>"Lectures in Graph Theory and Complex Systems," Part 1 Part 2
Part 3 Part 4 Part 5
Part 6 Part 7 Part 8
Part 9

<>"Lectures in Numerical Analysis," Part 1 Part 2 Part 3
Part 4 Part 5 Part 6 Part7
Part 8 Part 9 Part 10 Part 11
Part 12 Part 13 Part 14 Part 15

<>"The Algebraic Structure of Cellular Automata," pp. 28. PDF

<>"Jacob Burckhardt: History and the Greeks in the Modern Context," pp. 119. PDF

<>"A Statistical Analysis of Undergraduate Mathematics Placement Scores at Portland State University," pp. 19. PDF

<>"The Case Against Computational Theory of Mind: A Refutation of Mathematically-Contigent Weak A.I.," pp. 27.

Listen to my music here: Umberto

__Courses I Have Taught Previously__

Math 30: Pre-Algebra

Math 60: Algebra/Geometry I

Math 65: Algebra/Geometry II

Math 95: Intermediate Algebra/Geometry

Math 105: Exploring Mathematics

Math 107: Math & Society

Math 111: Pre-Calculus I

Math 112: Pre-Calculus II/Trigonometry

Math 171: Computational Calculus I

Math 172: Computational Calculus II

Math 221: Finite Mathematics

Math 241: Calculus for Business/Economics

Math 243: Statistics/Probability I

Math 244: Statistics II

Math 251: Calculus I

Math 252: Calculus II

Math 253: Calculus III

Math 254: Calculus IV

Math 256: Intro to Differential Equations

Math 261: Intro to Linear Algebra

Math 273: Vector Calculus

*Math 300: Computational Mathematics & Numerical Analysis

Math 321: Ordinary Differential Equations

*Math 398: History of Mathematics

*[MOOC]: Matrix Algebra & Applications to Complex Systems

*[MOOC]: Graph Theory/Network Theory & Applications to Complex Systems

*Designed (and taught) curriculum

*Calculus Lecture: Day One