Alexander Stanoyevitch

Alexander Stanoyevitch is a Professor of Statistics and Applied Mathematics in the Department of Mathematics at California State University–Dominguez Hills. His research spans both pure and applied mathematics, with a focus on Big Data Analysis, Machine Learning, Cryptography, and Discrete Mathematics.

• Education: Doctorate in Mathematical Analysis from the University of Michigan, Ann Arbor
• Previous Affiliations: Academic positions at the University of Hawaii and the University of Guam

He has authored several influential textbooks, including Discrete Structures with Contemporary Applications (2011), which covers core topics like network flows, genetic algorithms, and public-key cryptography. His teaching methodology emphasizes computer implementation, with pseudocode explanations and extensive exercise sets. As an invited speaker, he has presented lectures across the United States, Europe, and Asia, reflecting his international academic engagement.