Associate Professor of Industrial and Systems Engineering Practice
- Doctoral Degree, Statistics, University of Texas - Dallas
- Doctoral Degree, Industrial Engineering, Texas A&M University
- Bachelor's Degree, Industrial Engineering
Dr Acosta is a data analytics and statistical computing scholar. He holds a Ph.D. in Industrial Engineering from Texas A&M, and a Ph.D. in Statistics from The University of Texas at Dallas. Dr Acosta has ample experience in statistical computing and data analytics. He teaches courses from the MS program of Financial Engineering, and the MS program in Data Analytics at USC.
Dr Acosta research interests focus on using advanced statistical analysis to build models for prediction and classification for decision making in applications such as risk management, asset pricing, and credit-risk.
His research has been published in leading journals.