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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

Analyzing client behavior in a syringe exchange program

Yang, H., Hu, Y. & Morton, D., Jan 1 2019, (Accepted/In press) In : IISE Transactions on Healthcare Systems Engineering.

Research output: Contribution to journalArticle

Needle-Exchange Programs
Syringes
Drug Users
simulation
Communicable Diseases
2 Citations (Scopus)

Asymmetric risk and fuel neutrality in electricity capacity markets

Mays, J., Morton, D. P. & O’Neill, R. P., Nov 1 2019, In : Nature Energy. 4, 11, p. 948-956 9 p.

Research output: Contribution to journalArticle

Electricity
Operating costs
Heuristic algorithms
Costs
Carbon

Decarbonizing electricity requires re-evaluating capacity mechanisms

Mays, J., Morton, D. P. & O’Neill, R. P., Nov 1 2019, In : Nature Energy. 4, 11, p. 912-913 2 p.

Research output: Contribution to journalArticle

Open Access

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