Posters and Presentations

Student Posters

Presentations and Seminars

2024

  • Complexity of ASTRO-DF with common random numbers or “Is building first-order simulation oracles really worth it?”, invited by Derivative-free and Simulation-based Optimization stream of the Continuous Optimization cluster chairs Stefan Wild, Ana Custodio, and Francesco Rinaldi, 25th International Symposium on Mathematical Programming (ISMP2024), Montréal, Canada.
  • Interpolation-based Trust-regions for Stochastic Derivative-free Optimization, invited by organizing committee Ana Luísa Custódio, Sébastien Le Digabel Giampaolo Liuzzi, Margherita Porcelli, and Francesco Rinaldi, 2nd Derivative-free Optimization Symposium (DFOS), Padova, Italy.

2023

  • 2023 Winter Simulation Conference, San Antonio, TX
    • Dynamic Stratification and Adaptive Sampling for Simulation Optimization, invited by Simulation Optimization Track Chairs David Eckman and Siyang Gao.
    • Stochastic Constraints: How Feasible is Feasible?, invited by Simulation Optimization Track Chairs David Eckman and Siyang Gao.
    • Adaptive Ranking and Selection Based Genetic Algorithms for Data-driven Problems.
    • Greener Trust-Region Optimization for Zeroth-Order Stochastic Oracles.
  • Complexity of Adaptive Sampling Solvers for Derivative-free Stochastic Optimization, Seminar at ISE department of Lehigh University, Bethlehem, PA.
  • Dynamic Stratification and Adaptive Sampling for Simulation Optimization, Seminar at ISyE department of Georgia Institute of Technology, Atlanta, GA.
  • 2023 INFORMS Annual Meeting, Phoenix, AZ.
    • Concomitant Variables for Dynamic Stratification for Simulation Optimization, invited by INFORMS Simulation Society Track Chair Enlu Zhou.
    • Greener Trust-Region Optimization for Zeroth-Order Stochastic Oracles, invited by the Computational Optimization & Software within the INFORMS Optimization Society Track Chair Juliane Mueller.
    • Interpretable prediction for UTI hospitalization.
    • Calibration of Wake Parameter in Wind Energy Engineering Models.
  • Complexity Analysis of Adaptive Sampling based Trust-region methods, invited by Tommaso Giovannelli, 2023 Modeling and Optimization: Theory and Applications (MOPTA) Conference, Bethlehem, PA.
  • 2023 (First) INFORMS Conference on Quality, Statistics, and Reliability, Raleigh, NC
    • Stratified Sampling for Reliability Analysis Using Stochastic Simulation with Multi-dimensional Input, invited by QSR Methods for Energy Applications Session Chair Eunshin Byon.
    • Simulation Optimization with Stratified Adaptive Sampling Wind Energy Calibration Case Study, invited by Modern Computer Model Calibration and Optimization Session Chair Eunshin Byon.
  • Robust and Efficient Feature Selection with Stochastic Optimization, 2023 ASA/IMS Spring Research Conference (SRC), Banff, Canada.

2022

  • Simulation Optimization with Stratified Sampling Wind Energy Calibration Case Study, 2022 Winter Simulation Conference, Singapore.
  • Monte Carlo based Machine Learning, INFORMS Junior Faculty Interest Group, Virtual, September 2022.
  • 2022 INFORMS Annual Meeting, Indianapolis, IN
    • Trust-Region Optimization for Zeroth-Order Stochastic Oracles, invited by the Computational Optimization & Software within the INFORMS Optimization Society Track Chair Juliane Mueller.
    • Robust Monte Carlo-based Prediction Modeling, invited by the Simulation Cluster Chair Jie Xu.
    • Efficient Dynamic Stratification for Simulation Optimization.
  • Monte Carlo Based Machine Learning, invited by the Simulation Cluster Chair Steffen Rebennack, International Conference of Operations Research (IOR), Karlsruhe, Germany.
  • Adaptive Sampling with Stochastic Derivative-free Optimization, invited by the Derivative-Free Optimization: Linking Algorithms and Applications Workshop organizers Warren Hare, Charles Audet, Matt Menickelly, and Ana Custódio, Banff, Canada.
  • Adaptive Sampling Trust-region Optimization with Diagonal Hessian for Derivative-free Stochastic Oracles. Nonlinear Optimization Track of 2022 INFORMS Optimization Society Conference, Greenville, SC.

2021

  • 2021 Winter Simulation Conference, Virtual
    • Improved Complexity of Trust-region Optimization for Zeroth-order Stochastic Oracles with Adaptive Sampling, invited by SO Track Chair.
    • Non-parametric Bias and Variance Estimation via Nested-bootstrapping and Influence Functions, invited by MURS Track Chairs.
  • 2021 INFORMS Annual Meeting, Anaheim, CA.
    • Improved Complexity of Trust-region Optimization for Zeroth-order Stochastic Oracles with Adaptive Sampling.
    • Non-parametric Bias and Variance Estimation via Nested-bootstrapping and Influence Functions.
    • Parameter Calibration with Stratified Adaptive Stochastic Trust-region Optimization.
  • Long-term Resilience and Stochastic Optimization. Collaboratory for Coastal Adaptation over Space and Time (C-CoAST) 101 Discipline Seminar. Summer 2021, Virtual. [Video]
  • An Analysis of Estimators in Simulation Optimization-Based Feature Selection. 2021 Women in Statistics and Data Science (WSDS) Conference.
  • Wake Effect Calibration in Wind Power Systems with Adaptive Sampling Based Optimization. Energy Systems Track of 2021 IISE Annual Conference, Virtual.
  • Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering. 2021 INFORMS Conference on Service Sciences, Virtual.

2020

  • 2020 Winter Simulation Conference, Virtual
    • Simulation Optimization Based Feature Selection, A Study on Data-driven Optimization with Input Uncertainty.
    • A Simulation Optimization Approach for Managing Product Transitions in Multistage Production Lines.
  • 2020 INFORMS Annual Meeting, Virtual.
    • A Study on Optimization Algorithms for Feature Selection with Simulation Optimization.
    • Data-driven Simulation Optimization and Adaptive Sampling.
  • A Study on Data-driven Optimization with Input Uncertainty, Laboratory for Applied Mathematics. 2020 Numerical Software, and Statistics Seminar at Argonne National Laboratory, Virtual.

2019

  • ASTRO: Adaptive Sampling Trust-Region Optimization, A Class of Derivative-based Simulation Optimization Algorithms – Numerical Experiments. 2019 Winter Simulation Conference, National Harbor, MA.
  • Complexity of ASTRO-DF: Adaptive Sampling Trust-region Methods for Derivative-free Simulation Optimization. 2019 SAS Seminar, Cary, NC.
  • 2019 INFORMS Annual Meeting, Seattle, WA.
    • Complexity of ASTRO-DF: Adaptive Sampling Trust-region Methods for Derivative-free Simulation Optimization.
    • Improved Feature Selection with Simulation Optimization.
  • Feature Selection with Simulation Optimization. 2019 IISE Annual Conference, Orlando, FL.
  • Complexity of ASTRO-DF: Adaptive Sampling Trust-region Methods for Derivative-free Simulation Optimization. 2019 SIAM Conference on Computational Science and Engineering, Spokane, WA.

2012-2018

  • ASTRO: Adaptive Sampling Trust-Region Optimization, A Class of Derivative-based Simulation Optimization Algorithms – Numerical Experiments. 2019 Winter SimulationConference, National Harbor, MA. [with D. Vasquez, and R. Pasupathy]
  • Hurricane Power Outage Prediction with Zero-Inflated Data. INFORMS Annual Meeting, Phoenix, AZ. Nov 2018. [with S. Guikema]
  • Hurricane Power Outage Prediction with Out of Bag Feature Selection Approaches. Society of Risk Analysis (SRA) Annual Meeting, Arlington, VA. Dec 2017. [with S. Guikema]
  • A High-Resolution Tropical Cyclone Power Outage Forecasting Model for the Continental US. Annual Meeting – American Geophysical Union, New Orleans. Dec 2017. [with J. Pino, S. Quiring, S. Guikema, S. Linger, and S. Backhaus]
  • Improved 3-Stage Prediction Models for Power Outage under Hurricanes and Severe Events. Data Science Research Forum, Michigan Institute for Data Science, Ann Arbor, MI. Dec 2017. [with S. Guikema]
  • Hurricane Induced Power Outage Predictions: Current Practice and New Approaches. University of Michigan IOE 60+ Anniversary, Ann Arbor, MI. Nov 2017. [with S. Guikema]
  • Hurricane Power Outage Prediction with Out of Bag Feature Selection Approaches, INFORMS Annual Meeting, Houston, TX. Oct 2017. [with S. Guikema]
  • Improved 3-Stage Prediction Models for Power Outage under Hurricanes and Severe Events. Michigan Regional Postdoctoral Symposium, Detroit, MI. Sep 2017. [with S. Guikema]
  • Probabilistic Classification and Regression Trees with Proper Scoring Rules. Applied Probability Society Conference, Northwestern University, IL July 2017. [with M. Plumlee and S. Guikema]
  • ASTRO-DF Algorithms, Heuristics, and Numerical Experience. Winter Simulation Conference, Arlington, VA, Dec 2016. [with R. Pasupathy and S. Hunter]
    • Winner of the PhD Colloquium
  • Adaptive Sampling Trust-region Methods for Derivative-based and Derivative-free Simulation Optimization Problems. [with R. Pasupathy]
    • INFORMS Annual Meeting, Nashville, TN, Nov 2016.
    • Computational Interdisciplinary Graduate Programs CS&E/CLS Seminar, Purdue University, Sep 2016.
  • ASTRO-DF: Adaptive Stochastic Trust Region Optimization, Derivative-Free. [with R. Pasupathy]
    • INFORMS Annual Meeting, Philadelphia, PA, Nov 2015.
    • International Symposium of Applied Mathematics, Pittsburg, PA, Jul 2015.
    • INFORMS Applied Probability Society Conference, Istanbul, Turkey, Jul 2015.
    • School of IE Annual Symposium, West Lafayette, IN, Apr 2015.
      • Third place in the Competition
    • INFORMS Computing Society (ICS), Richmond, VA, Jan 2015.
  • Comparison Study of Simulation Optimization for Real-Time Epidemic Forecasting. INFORMS Conference on Healthcare, Chicago, IL, Jun 2013. [with J. Chen, E. Nsoesie, and M. Marathe]
  • Using simulation in hospital layout planning. Winter Simulation Conference, Berlin, Germany, Dec 2012. [with I. Arnolds, S. Nickel, and C. Wernz]
  • Infectious Disease Prediction using Simulation Optimization. Models of Infectious Disease Agent Study (MIDAS) Meeting, Arlington, VA, Nov 2012. [with M. Marathe]
  • Uncertainty in Chemotherapy Patient Scheduling. INFORMS Annual Meeting, Phoenix, AZ, Oct 2012. [with A. Turkcan, M. Lawley, and H. Wan]
  • Infectious Disease Prediction using Simulation Optimization. INFORMS Annual Meeting, Phoenix, AZ, Oct 2012. [with M. Marathe]
    • Winner of the Best Poster Competition