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Personal profile

Research Interests

Stochastic optimization and its application to energy, security, and health systems

Education/Academic qualification

Operations Research, PhD, Stanford University

… → 1993

Operations Research, MS, Stanford University

Mathematics and Physics, BS, Stetson University

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Stochastic programming Engineering & Materials Science
Sampling Engineering & Materials Science
Enclosures Engineering & Materials Science
Nonlinear programming Engineering & Materials Science
Stochastic Programming Mathematics
Linear programming Engineering & Materials Science
Autonomous underwater vehicles Engineering & Materials Science
Asset management Engineering & Materials Science

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Grants 2014 2019

Research Output 1995 2019

Minimum-risk routing through a mapped minefield

Richards, C., Odom, C., Morton, D. & Newman, A., Apr 1 2019, In : Networks. 73, 3, p. 358-376 19 p.

Research output: Contribution to journalArticle

Directed graphs
Detonation
Ships
2 Citations (Scopus)

An adaptive model with joint chance constraints for a hybrid wind-conventional generator system

Singh, B., Morton, D. & Santoso, S., Oct 1 2018, In : Computational Management Science. 15, 3-4, p. 563-582 20 p.

Research output: Contribution to journalArticle

Farms
Profitability
Chance constraints
Generator
Wind power
2 Citations (Scopus)

Flow balancing with uncertain demand for automated package sorting centers

Novoa, L. J., Jarrah, A. I. & Morton, D., Jan 1 2018, In : Transportation Science. 52, 1, p. 210-227 18 p.

Research output: Contribution to journalArticle

Sorting
demand
workload
fluctuation
Processing

Optimizing the design of a latin hypercube sampling estimator

Zolan, A. J., Hasenbein, J. J. & Morton, D., Jan 4 2018, 2017 Winter Simulation Conference, WSC 2017. Chan, V. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 1832-1843 12 p. (Proceedings - Winter Simulation Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Latin Hypercube Sampling
Stratified Sampling
Monte Carlo Sampling
Sampling
Estimator
2 Citations (Scopus)

Staffing call centers under arrival-rate uncertainty with Bayesian updates

Zan, J., Hasenbein, J. J., Morton, D. & Mehrotra, V., Jul 1 2018, In : Operations Research Letters. 46, 4, p. 379-384 6 p.

Research output: Contribution to journalArticle

Call Centres
Quality of service
Update
Uncertainty
Service Quality