Christopher Ogden

Associate Professor of Computer Science
231 Ayers Hall
256.782.8405
ccogden@jsu.edu 

Christopher Ogden graduated Magna cum Laude with his undergraduate degree in Computer Engineering from the ABET certified Department of Electrical and Computer Engineering at the University of South Alabama with an unweighted 3.83 cumulative GPA at the top of his Spring 2003 graduating class. He earned a Master of Science degree in Electrical Engineering in 2005 and a Master of Science degree in Mathematics in 2008 from the University of South Alabama. His work during his Master of Science in Electrical Engineering degree resulted in a published thesis entitled “Analysis of the Electrical Transients of Appliances in the Laboratory-Based PEM Fuel Cell House.” Prior to entering his Ph.D. program at Florida State University, he worked at Teledyne Continental Motors as a Systems Engineer.

He completed his Doctor of Philosophy degree in Computer Science at Florida State University in August 2016 with the publication of his dissertation entitled, “Soft Error Event Monte Carlo Modeling and Simulation: Impacts of Soft Error Events on Computer Memory”. He has published in IEEE Transactions on Reliability and International Journal of Computer Networks & Communications. In 2020-2021, he published a e-Textbook entitled “Introduction to C++ Programming” through the Kendall Hunt Publishing Company. This book is adopted in numerous introductory C++ programming classes. He has peer-reviewed numerous papers for IEEE and ACM journal articles.

Dr. Christopher Ogden has introduced many data science classes at JSU culminating in the creation of a Concentration and Minor Undergraduate program in Data Science at JSU. He has presented at many scholarly conferences, workshops, and events. He continues to actively lead and serve in ACM Southeast conference committees, the Data Science Jump Start NSF S-STEM Committee, the Computer Science Curriculum committee, and the Computer Systems and Software Design Graduate Curriculum Committee. His research interests include Computer Architecture, Computer Reliability Modeling and Simulation, Data Science, Monte Carlo Methods, Random Number Generation, Stochastic Programming, and Software Engineering.