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 research areas: Advanced Manufacturing, Analytics and Big Data, Economic Decision Analysis, Health, Optimization, Statistics, Stochastics and Simulation, Supply Chain Engineering, Sustainable Systems Engineering, and System 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.
Richard Yuchen Zheng Joined H. Milton Stewart School of Industrial & systems Engineering Ph.D. Program in Statistics at Georgia Tech in August 2014, under the advisement of Dr. Nicoleta Serban. He received his B.S. Degree in Industrial Engineering from Georgia Tech. His interests are within statistical modeling such as clustering and classification, generalized linear models, social network analytics, sampling methods, and Big Data analytics.
Richard's research focuses on improving the healthcare system delivery using analytical modeling methods. He developed models for care pathway for pediatric asthma utilization in Georgia and North Carolina in the Medicaid System and evaluated the cost efficiency and utilization disparities in the system. He is also currently working on identifying naturally occurred Accountable Care Organizations (ACO) using technics from Social Computing.