Active learning for data-efficient calibration of stochastic simulation models
The Annual ASA/IMS Spring Research Conference (SRC)
Clemson, SC Event (opens in a new tab)
Talks
Selected conference presentations, invited seminars, and workshops.
2026
Dynamic calibration framework for digital twins using active learning and conformal prediction
2026 SIAM Conference on Uncertainty Quantification (SIAM UQ 2026)
Minneapolis, MN Event (opens in a new tab)
2025
Dynamic calibration framework for digital twins using active learning and conformal prediction
2025 Winter Simulation Conference (WSC 2025)
Seattle, WA Event (opens in a new tab)
Designing computer experiments for calibration
ISNET-11: Information and Statistics in Nuclear Experiment and Theory, at ECT*
Trento, Italy Event (opens in a new tab)
Designing real and numerical experiments with uncertainties in mind
Fall Meeting of the APS Division of Nuclear Physics, Workshop: Systematic and Model Uncertainties in Nuclear Experiment and Theory: new tools, techniques, and opportunities for collaboration
Chicago, IL Event (opens in a new tab)
Batch sequential experimental design for calibration of stochastic simulation models
North Carolina State University, Industrial and Systems Engineering Seminar Series
Raleigh, NC
Batch sequential experimental design for calibration of stochastic simulation models
The Joint Statistical Meetings (JSM)
Nashville, TN Event (opens in a new tab)
Simulation experiment design for calibration via active learning
The Quality and Productivity Research Conference (QPRC)
Seattle, WA
Batch sequential experimental design for calibration of stochastic simulation models
The Annual ASA/IMS Spring Research Conference (SRC)
New York, NY Event (opens in a new tab)
2024
Simulation experiment design for calibration via active learning
INFORMS Annual Meeting
Seattle, WA Event (opens in a new tab)
Simulation experiment design for calibration via active learning
Fall Technical Conference (FTC)
Nashville, TN Event (opens in a new tab)
Simulation experiment design for calibration via active learning
The Joint Statistical Meetings (JSM)
Portland, OR Event (opens in a new tab)
Sequential Bayesian experimental design for calibration of expensive simulation models
The Design and Analysis of Experiments (DAE) Conference
Blacksburg, VA Event (opens in a new tab)
2023
Performance analysis of sequential experimental design for calibration in parallel computing environments
INFORMS Annual Meeting
Phoenix, AZ Event (opens in a new tab)
Sequential Bayesian experimental design for calibration of expensive simulation models
The Center for Approximation and Mathematical Data Analytics (CAMDA) Conference
College Station, TX Event (opens in a new tab)
Sequential Bayesian experimental design for calibration of expensive expensive physics models
Information and Statistics in Nuclear Experiment and Theory (ISNET) Conference
St. Louis, MO
2022
The Bayesian analysis of nuclear dynamics framework
2022 Fall Meeting of the Division of Nuclear Physics of the American Physical Society
New Orleans, LA Event (opens in a new tab)
Batch sequential calibration of a computationally intensive simulation model using parallel computing
INFORMS Annual Meeting
Indianapolis, IN Event (opens in a new tab)
A sequential approach to calibration of a computationally intensive model
SIAM Conference on Uncertainty Quantification
Atlanta, GA Event (opens in a new tab)
Calibration of a computationally intensive model with parallel computing aspects
SIAM Conference on Parallel Processing for Scientific Computing
Virtual Event (opens in a new tab)
2021
Calibration using emulation of filtered simulation results
Winter Simulation Conference
Phoenix, AZ Event (opens in a new tab)
Calibration using emulation of filtered simulation results
INFORMS Annual Meeting
Anaheim, CA Event (opens in a new tab)
Discovering group structure in longitudinal data
INFORMS Workshop on Data Mining and Decision Analytics
Anaheim, CA
2019
Coefficient tree regression for discovering structure in generalized linear models
INFORMS Annual Meeting
Seattle, WA Event (opens in a new tab)
Discovering structure in longitudinal data via coefficient tree regression
INFORMS Annual Meeting
Seattle, WA Event (opens in a new tab)
2018
Coefficient tree regression for discovering hidden structure
INFORMS Annual Meeting
Phoenix, AZ Event (opens in a new tab)
Multistakeholder recommendation with provider constraints
The 12th ACM Conference on Recommender Systems
Vancouver, Canada Event (opens in a new tab)
Coefficient tree regression for discovering hidden structure
The Midwest Machine Learning Symposium
Chicago, IL
2017
Improving similarity measures using ontological data
The 11th ACM Conference on Recommender Systems
Como, Italy Event (opens in a new tab)
2014
Event and clock-based representations in mathematical optimization
The 34th National Conference for Operations Research and Industrial Engineering
Bursa, Turkey
2013
Simulated annealing algorithm with variable cluster number and comparison with k-means algorithm
The 26th European Conference on Operational Research
Rome, Italy Event (opens in a new tab)