Skip to ContentSkip to Footer

Dr. Keith Driscoll

Faculty Member


Office: James M. Baker University Center 404
Mathematics
College of Information and Mathematical Sciences
keithdriscoll@clayton.edu
Phone: (678) 446-4448

Biography

Dr. Driscoll received his PhD from the University of Arkansas, and holds degrees in Mining Engineering, Chemical Engineering, and Statistics. He began teaching at Clayton State in 2005, and was named a Mitsubishi University Professor in 2018. His teaching interests lie in the areas of Linear Algebra, Statistics, and Probability.

Education

Ph D, Chemical Engineering, University of Arkansas, 2001

MS, Statistics, Georgia State University, 2009

MS, Chemical Engineering, The Ohio State University, 1991

MS, Mining Engineering, The Ohio State Unviersiy, 1987

Intellectual Contributions

Elliot Krop, Keith Driscoll, Michelle Nguyen, All trees are 6-cordial, Electronic Journal of Graph Theory and Applications – Spring 2017

Keith Driscoll, All trees are seven-cordial, The Application of Graphs –

Dmitriy Beznosko, Keith Driscoll, Fernando Guadarrama, Alexander Iakovlev, Steven Mai, Nikolas Thornton, Design and testing of photon-based hardware random number generator, Sissa Medialab – December 17 2024

Elliot Krop, Kayla Bell, Keith Driscoll, Kimber Wolff, Grundy domination of forests and the strong product conjecture, Electronic Journal of Combinatorics – April 23 2021

Keith Driscoll, Patrick Taylor, On Directed Labelings of Stars, Congressus Numerantium/Utilitas Mathematica Publishing –

Service to the University & University System of Georgia

University System, Data Science Regents Advisory Committee, Committee Member –  October 2020 to Present

Department, Promotion and Tenure Committee, Chairperson –  August 2023 to Present

University, University Curriculum Committee, Committee Member –  August 2022 to Present

Teaching Interest

My teaching generally focuses on Statistics, Linear Algebra, and Probability Theory. In addition to coordinating the Introductory Statistics course, I regularly teach courses in Advanced Applied Statistics, Linear Algebra, Introduction to Probability, and Mathematical Statistics.

Research Interest

My research is currently concentrated in the area of Graph Theory, with publications focusing on graph labelings (cordial labeling of trees) and domination.