Dr. Rick Kreminski

See below for a brief summary of my education, work experience, courses taught, research interests, and some other info.

Education

JD 2008, Dedman School of Law, Southern Methodist University, Dallas TX

PhD 1994, University of Maryland College Park, College Park MD - interdisciplinary applied mathematics

MA 1990, University of Maryland College Park, College Park MD - interdisciplinary applied mathematics

SB 1981, Massachusetts Institute of Technology, Cambridge MA - biology

Work experience

Professor, Mathematics and Physics, Colorado State University Pueblo, Pueblo CO (full time teaching 2018-present)

Administrator, Colorado State University Pueblo (served as Dean of Science and Mathematics 2009-2011 and 2013-2015, interim Provost 2011-2013, Acting Director of Institutional Research and Analysis 2013-2015, Provost and Executive VP for Academic Affairs 2015-2017, Executive Director of Research and Sponsored Programs 2018)

Professor, Mathematics, Texas A&M University Commerce, Commerce TX (Assistant Prof 1992-1999, Assoc Prof 1999-2003, Professor 2003-2009) (also served as Department Head of Mathematics 2003-2009, interim Dean of Arts and Sciences 2002-2003, and Assistant Dean of Arts and Sciences 1999-2002)

Instructor, Mathematics, The American University, Washington DC (1990-1992)

[And years ago I had a little experience with NASA; I spent one summer during grad school at Goddard Space Flight Center, Greenbelt MD (1982) and worked on a NASA grant for 2 yrs during graduate school.]

Courses taught

I have taught most of the undergraduate math curriculum (college algebra, trigonometry, mathematics for liberal arts, algebra-based probability, business math, applied calculus, calculus I II III IV, discrete math, number theory, abstract algebra, numerical analysis, differential equations, linear algebra, euclidean and non-euclidean geometry, intro to complex analysis, calculus-based probability, introductory real analysis, point-set topology, mathematical computing with Python, algorithms). And I've taught many master's level math classes (abstract algebra, advanced calculus, mathematical statistics, complex analysis, topology, number theory, matrix theory, difference equations, statistical computing, PDEs, differential topology, data compression, cryptography, coding theory, and specially created math grad courses for secondary teachers including modern applications of mathematics for teachers). I've taught several undergrad physics courses (algebra-based electromagnetics, 300-level 'modern physics' including special relativity and intro to quantum mechanics, 400-level electromagnetic theory including Maxwell's equations/electrodynamics, and quantum mechanics). I've also taught 'earth science' (geology 101).

I have supervised non-thesis option master's projects for 14 students ( higher homotopy groups in algebraic topology and the hopf fibration, risk theory and related topics in actuarial mathematics, the Haar integral in locally compact topological groups in point-set topology, elementary and analytic proofs of the prime number theorem in number theory, applications of Latin squares in design of experiments in statistics, the number field sieve in number theory, mathematical finance, elliptic curves in number theory, mortality tables and other topics in actuarial mathematics, introduction to the Navier Stokes equations in fluid dynamics, principal component analysis applications including to facial recognition, the multiple polynomial quadratic sieve in number theory, and an introduction to the Riemann hypothesis). In addition I've supervised two honors undergrad theses (RSA implementation in C++, and spacetime coding simulations) and one honors project (the Banach Tarski paradox).

Research interests

Most of my publications are listed in another tab on this site. Most of them involve intensive numerical computation.

I am interested in a variety of areas of math and science - I am very much an 'applied' mathematician (including applying pure math to other areas of math or science). I am recently interested in applications of machine learning/AI. My undergrad coursework led to a bachelor's degree in biology, and also included all courses for a physics bachelor's degree (but I never completed my physics undergrad thesis). My grad coursework in mathematics was mostly pure mathematics, along with 8 doctoral (600+) courses in physics, including QM, QFT, GR, stat mech, and particle physics. I was very much pulled by the excitement of string theory in the 1980s; my dissertation (unpublished) examined a sheaf-theoretic approach (graded manifolds) to supersymmetry/supermanifolds.