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
Modern Nonconvex Nondifferentiable Optimization
Cui, Ying & Pang, Jong-Shi. (2021). Modern Nonconvex Nondifferentiable Optimization. 10.1137/1.9781611976748.
No Panic in Pandemic: The Impact of Individual Choice on Public Health Policy and Vaccine Priority.
Bai, Miao and Cui, Ying and Kong, Guangwen and Zhang, Zhenhuan, No Panic in Pandemic: The Impact of Individual Choice on Public Health Policy and Vaccine Priority (January 10, 2021). University of Connecticut School of Business Research Paper No. 21-02, Available at SSRN: https://ssrn.com/abstract=3763514 or http://dx.doi.org/10.2139/ssrn.3763514
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
Zhang, Y., Cui, Y., Sen, B., & Toh, K. (2022). On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models. ArXiv. /abs/2208.07514
Solving Nonsmooth Nonconvex Compound Stochastic Programs with Applications to Risk Measure Minimization
Liu, Junyi & Cui, Ying & Pang, Jong-Shi. (2020). Solving Nonsmooth Nonconvex Compound Stochastic Programs with Applications to Risk Measure Minimization.
A Decomposition Algorithm for Two-Stage Stochastic Programs with Nonconvex Recourse
Li, H., & Cui, Y. (2022). A Decomposition Algorithm for Two-Stage Stochastic Programs with Nonconvex Recourse. ArXiv. /abs/2204.01269
Matching queues with reneging: a product form solution
Castro, Francisco & Nazerzadeh, Hamid & Yan, Chiwei. (2020). Matching queues with reneging: a product form solution. Queueing Systems. 96. 10.1007/s11134-020-09662-y.