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Mathematics

D-Index
37
Citations
5072
World Ranking
2528
National Ranking
1048

Research.com Recognitions

  • 2020 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

David Goldsman is affiliated with the Georgia Institute of Technology in the United States. Their research spans several fields including Mathematics, Medicine, and Decision Sciences, with a focus on subfields such as Statistics and Probability, Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, Industrial and Manufacturing Engineering, and Aerospace Engineering.

Their main research topics include:

  • Advanced Statistical Process Monitoring
  • Statistical Methods in Clinical Trials
  • Vehicle Routing Optimization Methods
  • UAV Applications and Optimization
  • Robotic Path Planning Algorithms
  • COVID-19 epidemiological studies
  • Organ Transplantation Techniques and Outcomes

David Goldsman has contributed to multiple publication venues. Their frequent publication venues are:

  • Journal of Simulation
  • arXiv (Cornell University)
  • 2022 Winter Simulation Conference (WSC)
  • Transportation Research Part C Emerging Technologies
  • Infectious Disease Modelling

Some of their recent papers include:

  • "Nested vehicle routing problem: Optimizing drone-truck surveillance operations", 2022, Transportation Research Part C Emerging Technologies
  • "A vaccination model for COVID-19 in Gauteng, South Africa", 2022, Infectious Disease Modelling
  • "A Simulation-Optimization Framework to Improve the Organ Transplantation Offering System", 2022, 2022 Winter Simulation Conference (WSC)
  • "Predicting a kidney transplant patient's pre-transplant functional status based on information from waitlist registration", 2023, Scientific Reports
  • "Efficient confidence intervals for the difference of two Bernoulli distributions' success parameters", 2021, Journal of Simulation

Collaborations feature prominently in their work. Frequent co-authors include:

  • Ignacio Erazo
  • Pınar Keskinocak
  • Fanruiqi Zeng
  • Zaiwei Chen
  • John-Paul Clarke

David Goldsman was awarded the distinction of Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2020.

Best Publications

  • Simple Procedures for Selecting the Best Simulated System When the Number of Alternatives is Large

    Barry L. Nelson;Julie Swann;David Goldsman;Wheyming Song

  • Comparing Systems via Simulation

    David Goldsman;Barry L. Nelson

  • A Stochastic Model of Airline Operations

    Jay M. Rosenberger;Andrew J. Schaefer;David Goldsman;Ellis L. Johnson

  • Finding the non-dominated Pareto set for multi-objective simulation models

    Loo Hay Lee;Ek Peng Chew;Suyan Teng;David Goldsman

  • Large-Sample Results for Batch Means

    Chiahon Chien;David Goldsman;Benjamin Melamed

  • Properties of standardized time series weighted area variance estimators

    David Goldsman;Marc Meketon;Lee Schruben

  • ASAP3: a batch means procedure for steady-state simulation analysis

    Natalie M. Steiger;Emily K. Lada;James R. Wilson;Jeffrey A. Joines

  • Comparisons with a Standard in Simulation Experiments

    Barry L. Nelson;David Goldsman

  • Confidence intervals using orthonormally weighted standardized time series

    Robert D. Foley;David Goldsman

  • To batch or not to batch

    Christos Alexopoulos;David Goldsman

  • An investigation of finite-sample behavior of confidence interval estimators

    Robert G. Sargent;Keebom Kang;David Goldsman

  • Modeling patient arrivals in community clinics

    Christos Alexopoulos;David Goldsman;John Fontanesi;David Kopald

  • A Review of Healthcare, Public Health, and Syndromic Surveillance

    Kwok-Leung Tsui;Wenchi Chiu;Peter Gierlich;David Goldsman

  • Methods for selecting the best system

    David Goldsman;Barry L. Nelson;Bruce Schmeiser

  • Optimal computing budget allocation for multi-objective simulation models

    Loo Hay Lee;Ek Peng Chew;Suyan Teng;David Goldsman

  • Ranking and Selection for Steady-State Simulation: Procedures and Perspectives

    David Goldsman;Seong-Hee Kim;William S. Marshall;Barry L. Nelson

  • Note-New Confidence Interval Estimators Using Standardized Time Series

    David Goldsman;Lee Schruben

  • Asymptotic Properties of Some Confidence Interval Estimators for Simulation Output

    David Goldsman;Lee Schruben

  • Statistical screening, selection, and multiple comparison procedures in computer simulation

    David Goldsman;Barry L. Nelson

  • Tests for transient means in simulated time series

    David Goldsman;Lee W. Schruben;James J. Swain

  • Cramer-Von Mises Variance Estimators for Simulations

    David Goldsman;Keebom Kang;Andrew F. Seila

Frequent Co-Authors

Barry L. Nelson
Barry L. Nelson Northwestern University
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Lee W. Schruben
Lee W. Schruben University of California, Berkeley
Russell R. Barton
Russell R. Barton Pennsylvania State University
Robert G. Sargent
Robert G. Sargent Syracuse University
Ellis L. Johnson
Ellis L. Johnson Georgia Institute of Technology
George L. Nemhauser
George L. Nemhauser Georgia Institute of Technology
Andrew J. Schaefer
Andrew J. Schaefer Rice University
Craig A. Tovey
Craig A. Tovey Georgia Institute of Technology
Loo Hay Lee
Loo Hay Lee National University of Singapore

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