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Song, Myung S.

Song, Myung S.

Associate Professor
Mathematics
484-646-4373
Lytle Hall 246
song@kutztown.edu
  • Degrees
    Ph.D. in Statistics, University of Pittsburgh
    Master in Statistics, University of Pittsburgh
    Master in Actuarial Science, University of Iowa
    Bachelor in Mathematics, Seoul National University, South Korea
  • Course Regularly Taught
    MAT 121 Mathematics for Business and Information Science
    MAT 140 Applied Statistical Methods
    MAT 150 Introduction to Biostatistics
    MAT 250 Applied Regression Analysis
    MAT 301 Probability & Statistics I
    MAT 302 Probability & Statistics II
    MAT 372 Independent Study and/or Projects in Mathematics
  • Research Interests
    Machine Learning, Multilevel Models, Combining Information, and Optimization
  • Publications
    • Song, M. S., Lin, P., Shively-Ertas, E., Lu, Y., and Vasko, F. J. (2024). “A Practical Approach for Dealing with Hard Knapsack Problems using General-Purpose Integer Programming Software”, International Transactions in Operational Research. http://doi.org/10.1111/itor.13449

    • Vasko, F. J., Lu, Y., Shively-Ertas, E., and Song, M. S. (2024). “Efficiently Generating Bounded Solutions for Very Large Multiple Knapsack Assignment Problems”, Journal of Computational and Cognitive Engineering, 3(1), 1-7. https://doi.org/10.47852/bonviewJCCE3202921

    • Dellinger, A., Lu, Y., Song, M. S., and Vasko, F. J. (2023). “Simple Strategies that generate Bounded Solutions for the Multiple-choice Multidimensional Knapsack Problem: a guide for OR Practitioners”, International Transactions in Operational Research, 30(6), 4061-4077. https://doi.org/10.1111/itor.13144

    • Emerick, B., Song, M. S., Lu, Y., Vasko, F. J. (2023). “An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering”, Optimization and Learning, Springer, Cham, 1824, 175-185. https://doi.org/10.1007/978-3-031-34020-8_13

    • Shively-Ertas, E., Lu, Y., Song, M. S., Vasko, F. J. (2023). "Using General-Purpose Integer Programming Software to Generate Bounded Solutions for the Multiple Knapsack Problem: a Guide for OR Practitioners ", International Journal of Industrial Optimization, 4(1), 16-24. https://doi.org/10.12928/ijio.v4i1.6446

    • Song, M. S., Emerick, B., Lu, Y., and Vasko, F. J. (2022). “When to use Integer Programming Software to solve large Multi-demand Multidimensional Knapsack Problems: A Guide for Operations Research Practitioners”, Engineering Optimization, 54(5), 894-906. https://doi.org/10.1080/0305215X.2021.1933965

    • Song, M. S., Vasko, F. J., Lu, Y., and Callaghan, K. 2022. “Application of Metaheuristic Approaches for the Variable Selection Problem”, International Journal of Applied Metaheuristic Computing, 13(1), 1-22. https://doi.org/10.4018/IJAMC.298309

    • Dellinger, A., Lu, Y., Song, M. S., and Vasko, F. J. (2022). “Generating Bounded Solutions for Multi-demand Multidimensional Knapsack Problems: A Guide for Operations Research Practitioners”, International Journal of Industrial Optimization, 3(1), 1-17. https://doi.org/10.12928/ijio.v3i1.5073

    • McNally, B., Lu, Y., Shively-Ertas, E., Song, M. S., and Vasko, F. J. (2021). “A Simple and Effective Methodology for Generating Bounded Solutions for the Set K-Covering and Set Variable K-Covering Problems: a guide for OR practitioners”, Review of Computer Engineering Research, 8(2), 76-95. https://doi.org/10.18488/journal.76.2021.82.76.95

    • Dellinger, A., Lu, Y., McNally, B., Song, M. S., and Vasko, F. J. (2021). “A simple and efficient technique to generate bounded solutions for the Generalized Assignment Problem: a guide for OR Practitioners” Research Reports on Computer Science, 1(1), 13-34. Retrieved from https://doi.org/10.37256/rrcs.1120221039

    • Gaspar, D., Lu, Y., Song, M. S., and Vasko, F. J. (2020). “Simple Population-Based Metaheuristics for the Multiple Demand Multiple-Choice Multidimensional Knapsack Problem”, International Journal of Metaheuristics, 7(4), 330-351. https://doi.org/10.1504/IJMHEUR.2020.111600

    • Hamdan, S., Melhem, N., Porta, P., Song, M. S., and Brent, D. (2013). “Alcohol and Substance Abuse in Parentally Bereaved Youth”, The Journal of Clinical Psychiatry, 74(8), 828-833.
    https://doi.org/10.4088/JCP.13m08391

    • Song, M. S., and Gleser, L. (2012). “A Numerical Likelihood-based Approach to Combining Correlation Matrices”, Communications in Statistics - Simulation and Computation, 41(9), 1679-1692. https://doi.org/10.1080/03610918.2011.615435

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