Talks
Simulation experiment design for calibration via active learning
INFORMS Annual Meeting, Seattle, WA
October, 2024
Simulation experiment design for calibration via active learning
Fall Technical Conference (FTC), Nashville, TN
October, 2024
Simulation experiment design for calibration via active learning
The Joint Statistical Meetings (JSM), Portland, OR
August, 2024
Sequential Bayesian experimental design for calibration of expensive simulation models
The Design and Analysis of Experiments (DAE) Conference, Blacksburg, VA
May, 2024
Performance analysis of sequential experimental design for calibration in parallel computing environments
INFORMS Annual Meeting, Phoenix, AZ
October, 2023
Sequential Bayesian experimental design for calibration of expensive simulation models
The Center for Approximation and Mathematical Data Analytics (CAMDA) Conference, College Station, TX
May, 2023
Sequential Bayesian experimental design for calibration of expensive expensive physics models
Information and Statistics in Nuclear Experiment and Theory (ISNET) Conference, St. Louis, MO
May, 2023
The Bayesian analysis of nuclear dynamics framework
2022 Fall Meeting of the Division of Nuclear Physics of the American Physical Society, New Orleans, LA
October, 2022
Batch sequential calibration of a computationally intensive simulation model using parallel computing
INFORMS Annual Meeting, Indianapolis, IN
October, 2022
A sequential approach to calibration of a computationally intensive model
SIAM Conference on Uncertainty Quantification, Atlanta, GA
April, 2022
Calibration of a computationally intensive model with parallel computing aspects
SIAM Conference on Parallel Processing for Scientific Computing (Virtual)
February, 2022
Calibration using emulation of filtered simulation results
Winter Simulation Conference, Phoenix, AZ
December, 2021
Calibration using emulation of filtered simulation results
INFORMS Annual Meeting, Anaheim, CA
October, 2021
Discovering group structure in longitudinal data
INFORMS Workshop on Data Mining and Decision Analytics, Anaheim, CA
October, 2021
Coefficient tree regression for discovering structure in generalized linear models
INFORMS Annual Meeting, Seattle, WA
October, 2019
Discovering structure in longitudinal data via coefficient tree regression
INFORMS Annual Meeting, Seattle, WA
October, 2019
Coefficient tree regression for discovering hidden structure
INFORMS Annual Meeting, Phoenix, AZ
November, 2018
Multistakeholder recommendation with provider constraints
The 12th ACM Conference on Recommender Systems, Vancouver, Canada
October, 2018
Coefficient tree regression for discovering hidden structure
The Midwest Machine Learning Symposium, Chicago, IL
June, 2018
Improving similarity measures using ontological data
The 11th ACM Conference on Recommender Systems, Como, Italy
August, 2017
Event and clock-based representations in mathematical optimization
The 34th National Conference for Operations Research and Industrial Engineering, Bursa, Turkey
June, 2014
Simulated annealing algorithm with variable cluster number and comparison with k-means algorithm
The 26th European Conference on Operational Research, Rome, Italy
July, 2013