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.
Georgia Tech pursues leading-edge research with industry, government, and community partners.
At ISyE, we are a national leader in 10 core fields of specialization: Advanced Manufacturing, Analytics and Machine Learning, Applied Probability and Simulation, Data Science and Statistics, Economic Decision Analysis, Energy and Sustainable Systems, Health and Humanitarian Systems, Optimization, Supply Chain Engineering, and Systems Informatics and Control.
ISyE's faculty and staff members strive to provide a world-class educational experience for the Stewart School's undergraduate and graduate students, and to forge long-lasting relationships with ISyE alumni and industry partners. If you have benefited from a connection with an ISyE faculty or staff member, feel free to take a moment to send a thank-you note to that person via this web form.
You can stay in touch with all things ISyE through our news feed, by reading one of our publications, or attending one of our upcoming events. ISyE employs some of the world’s most experienced researchers in their fields who enjoy sharing their perspectives on a wide variety of topics. Our faculty is world-renowned and our students are intellectually curious. Our alumni can be found around the globe in leadership positions within a wide variety of fields.
William Brenneman is a Research Fellow at the Procter and Gamble Company and an Adjunct Professor in ISyE. Since joining P&G in 2000, he has worked on a wide range of projects that deal with statistics applications in his areas of expertise: design and analysis of experiments, robust parameter design, reliability engineering, statistical process control, computer experiments, and general statistical thinking. He was also instrumental in the development of an in-house statistics curriculum.
He received a Ph.D. degree in Statistics from the University of Michigan (2000), an MS in Mathematics from the University of Iowa (1989) and a BA in Mathematics and Secondary Education from Tabor College (1987). William is Fellow of the American Statistical Association (ASA), Fellow of the American Society for Quality (ASQ), and member of the Institute of Mathematical Statistics and the Institute for Operations Research and Management Sciences. He has served as Senior Editor for the ASA Section on Physical and Engineering Sciences, as referee for several statistics journals, as ASQ Statistics Division Chair and is currently an Associate Editor of Technometrics. William also has seven years of experience as an educator at the high school and college level.
Design and Analysis of Experiments, Robust Parameter Design, Reliability Engineering, Statistical Process Control
H. Milton Stewart School of
Industrial and Systems Engineering
755 Ferst Drive, NW, Atlanta, GA 30332