Ibrahim Salama
Dr. Ibrahim Salama serves as the chair of the Department of Decision Sciences in the School of Business. He is an accomplished academic with a diverse research portfolio focused on ergodic theory, symbolic dynamics, nonparametric statistics, and statistical computing.
Dr. Salama has contributed significantly to his field through numerous publications. Noteworthy recent works include "Asymptotic Pressure on Some Self Similar Trees," published in Stochastic and Dynamics, and "On the Maximum-Minimums Identity: Extension and Applications" in The American Statistician. His collaborative research has also explored topics such as entropy on regular trees and the implications of diversity in the Management Information Systems (MIS) field.
Dr. Salama holds a bachelor’s degree in Economics and Political Science from Alexandria University, Egypt, as well as multiple advanced degrees in Biostatistics, Mathematics, and Computer Science, all from the University of North Carolina at Chapel Hill. His extensive educational background and rich research experience contribute to his leadership and innovation within the Department of Decision Sciences.
Education
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B.S. |
Economics and Political Sciences, Alexandria University, Egypt |
1965 |
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M.Sc. |
Biostatistics, University of North Carolina at Chapel Hill |
1971 |
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Ph.D. |
Biostatistics, University of North Carolina at Chapel Hill |
1974 |
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Ph.D. |
Mathematics, University of North Carolina at Chapel Hill |
1984 |
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M.Sc. |
Computer Science, University of North Carolina at Chapel Hill |
2002 |
Courses
Publications
Petersen, K. and Salama, I. (2025). Arrival of Information at a Target Set in a Network. Monatshefte fur Mathematik (submitted, under revision).
Petersen, K. and Salama, I. (2023). Asymptotic Pressure on Some Self Similar Trees. Stochastic and Dynamics, Vol 23, No 2, 2350009. https://doi.org/10.1142/S0219493723500090
Salama, I. and Koch, G. (2020). On the Maximum-Minimums Identity: Extension and Applications. The American Statistician, 74(3), 297-300.
Petersen, K. and Salama, I. (2020). Entropy on Regular Trees. Discrete and Continuous Dynamical Systems, 40(7), 4453-4477.
Karanja, R., Sharma, A. and Salama, I.(2020). What does MIS survey research reveal about diversity and representativeness in the MIS field? A content analysis approach. Scientometrics, 122, 1583-1628.
Petersen, K. and Salama, I. (2018). “Tree Shift Topological Entropy”, Theoretical Computer Science, 743, 54-71.