Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
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Ben Haaland is an adjunct assistant professor at the Stewart School of Industrial & Systems Engineering at Georgia Tech
Dr. Haaland’s research interests include experimental design, functional data analysis, uncertainty quantification, statistical computing and numeric analysis, machine learning, predictive modeling, evidence synthesis, applications of statistics in medicine and engineering.
In 2008 he received the Spring Research Conference Travel Scholarship on Statistics in Industry and Technology at Georgia Tech. In 2007, he earned the top score for the Ph.D. Qualifying Exam in the Department of Statistics at the University of Wisconsin. In 2006, he received the Outstanding Master’s Student award in the Department of Mathematical Sciences, Montana State University.
Dr. Haaland received a B.S in applied mathematics and an M.S. in statistics from Montana State University in 2003 and 2006, respectively. He earned his Ph.D. in Statistics from the University of Wisconsin in 2010.