Talks

Presentations & Invited Talks

  1. The Center for Approximation and Mathematical Data Analytics (CAMDA) Conference, College Station, TX, 2023.

    Sequential Bayesian experimental design for calibration of expensive simulation models.

  2. Information and Statistics in Nuclear Experiment and Theory (ISNET) Conference, St. Louis, MO, 2023.

    Sequential Bayesian experimental design for calibration of expensive expensive physics models.

  3. 2022 Fall Meeting of the Division of Nuclear Physics of the American Physical Society, New Orleans, LA, 2022.

    The Bayesian analysis of nuclear dynamics framework.

  4. INFORMS Annual Meeting, Indianapolis, IN, 2022.

    Batch sequential calibration of a computationally intensive simulation model using parallel computing.

  5. SIAM Conference on Uncertainty Quantification, Atlanta, GA, 2022.

    A sequential approach to calibration of a computationally intensive model.

  6. SIAM Conference on Parallel Processing for Scientific Computing, 2022.

    Calibration of a computationally intensive model with parallel computing aspects.

  7. Winter Simulation Conference, Phoenix, AZ, 2021.

    Calibration using emulation of filtered simulation results.

  8. INFORMS Annual Meeting, Anaheim, CA, 2021.

    Calibration using emulation of filtered simulation results.

  9. INFORMS Workshop on Data Mining and Decision Analytics, Anaheim, CA, 2021.

    Discovering group structure in longitudinal data.

  10. INFORMS Annual Meeting, 2019.

    Coefficient tree regression for discovering structure in generalized linear models.

  11. INFORMS Annual Meeting, 2019.

    Discovering structure in longitudinal data via coefficient tree regression.

  12. INFORMS Annual Meeting, 2018.

    Coefficient tree regression for discovering hidden structure.

  13. The Midwest Machine Learning Symposium, 2018.

    Coefficient tree regression for discovering hidden structure.

  14. The 12th ACM Conference on Recommender Systems, 2018.

    Multistakeholder recommendation with provider constraints.

  15. The 11th ACM Conference on Recommender Systems, 2017.

    Improving similarity measures using ontological data.

  16. The 34th National Conference for Operations Research and Industrial Engineering, 2014.

    Event and clock-based representations in mathematical optimization.

  17. The 26th European Conference on Operational Research, 2013.

    Simulated annealing algorithm with variable cluster number and comparison with $k$-means algorithm.

  18. The 25th European Conference on Operational Research, 2012.

    A multi-criteria based evaluation of innovation strategy selection.