Research
IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.
Selected Publications
Accommodating New Flights into an Existing Airline Flight Schedule
Ozge Safak, Alper Atamturk and M. Selim Akturk. Accommodating New Flights into an Existing Airline Flight Schedule. Transportation Research Part C 104, 265-286, 2019. https://www.sciencedirect.com/science/article/abs/pii/S0968090X18315602?via%3Dihub.
Simulation and Real-World Evaluation of Attack Detection Schemes
M. Porter, A. Joshi, P. Hespanhol, A. Aswani, M. Johnson-Roberson, and R. Vasudevan (2019), Simulation and real-world evaluation of attack detection schemes, In Proceedings of the American Control Conference.
Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks
Long He, Ying Rong, Zuo‐Jun Max Shen, “Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks“, 2019 Production and Operations Management Society.
Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
Paul Grigas, Alfonso Lobos, Nathan Vermeersch. “Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training”. arXiv:1906.03580
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery
Richard Zhang, Somayeh Sojoudi, and Javad Lavaei. Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. Journal of Machine Learning Research, 2019. https://jmlr.org/papers/v20/19-020.html.
Data-driven incentive design in the Medicare Shared Savings Program
Anil Aswani, Zuo-Jun Max Shen, Auyon Siddiqui, (2019), Data-Driven Incentive Design in the Medicare Shared Savings Program, INFORMS Operations Research, Vol. 67, No. 4.