Lecturer
Education
- Ph.D. Industrial and Operations Engineering (2023), University of Michigan
- M.A. Mathematics (2019), Central Michigan University
- B.A. Sociology (2013), Yale University
About
Kati Moug is a Lecturer in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.
Dr. Moug received her Ph.D. degree in industrial and operations engineering from University of Michigan in 2023. She also has an M.A. degree in mathematics from Central Michigan University and a B.A. degree in sociology from Yale University.
Research
Dr. Moug's research focuses on applied stochastic optimization, developing decision-support tools that can be used in a variety of contexts in the presence of uncertainty.
Teaching
Dr. Moug's teaching interests lie at the intersection of operations research and mathematics, helping students develop the tools to think methodically about complex systems.
Representative Publications
Moug, K., Shen, S. “Stochastic bilevel interdiction for fake news control in online social
networks,” Computers and Operations Research, vol. 173, 106872, 2025.
Moug, K., Shen, S. “The Costs of Overcrowding (and Release): Strategic Discharges for
Isolated Facilities During Epidemiological Outbreaks,” Computers and Operations Research,
vol. 165, 106578, 2024.
Moug, K., Jia, H., Shen, S. “A Shared Mobility Based Framework for Evacuation Planning
and Operations under Forecast Uncertainty.” IISE Transactions, 55(10),971-984, 2023.