Itauma Itauma, Ph.D.
Associate Professor of Data Science and AnalyticsBiography
Dr. Itauma Itauma earned his Ph.D. in Instructional Design and Technology with a focus on Analytics and completed the Harvard Business Analytics Program. Prior to joining Harrisburg University, he served as Division Chair of the Master of Science in Business Analytics and Doctor of Business Administration programs. His background spans computer science, computer engineering, data science, artificial intelligence, and higher education. In his spare time, he enjoys playing and coaching pickleball, playing the flute, and exploring different languages. He speaks fluent Turkish and conversational German.
Courses Taught at HU:
- ANLY 735: Research Seminar in Predictive AI
- ANLY 799: Doctoral Studies
Why HU?: Harrisburg University's interdisciplinary approach to data science, artificial intelligence, and innovation creates an exceptional environment for solving real-world problems through collaborative research and education. I look forward to mentoring future data scientists, advancing reproducible research, and collaborating with industry to develop AI-driven solutions that benefit society.
Publications
Itauma, I., Aslan, M. S., Villanustre, F., & Chen, X. W. (2015). Unsupervised Learning and Image Classification in High Performance Computing Cluster. IEEE 14th International Conference on Machine Learning and Applications (ICMLA) (pp. 576-581). IEEE.
Itauma, I., & Itauma, O. (2026). Sleep Quality and Daytime Functioning as Predictors of Metabolic Risk: A Structural Equation Modeling Analysis of NHANES Data. International Journal of Digital Health and Telemedicine, 2(1).
Itauma, I., Komaroff, E., Robertson, A., & Fuda Daddio, J. A. (2024). Factors predicting mathematics and science motivation among minority female high school students. Paper presented at the 2024 annual meeting of the American Educational Research Association. https://doi.org/10.3102/2104307
