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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 Dive into the research topics where David Morton is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2014 2021

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
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

Chance constraints
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


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
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
Service Quality