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Conference/Seminar Presentations

  • Mitigating Shortage Risk in the Newsvendor via Procurement Option Contracts, POMS Annual Conference (2023), Orlando, FL.

  • Enhancing Equity in Disaster Relief Resource Allocation via Preparedness-Based Modeling, POMS Annual Conference (2023), Orlando, FL.

  • Decomposition Algorithms for Parallel Machine Scheduling Problem under Uncertain Sequence-Dependent Setups, INFORMS Annual Meeting (2022), Indianapolis, IN.

  • Decomposition Algorithms for Parallel Machine Scheduling Problem under Uncertain Sequence-Dependent Setups, The 7th International Conference on Continuous Optimization (ICCOPT 2022), Bethlehem, PA

  • Risk Aversion, Policy Contingency, and Sourcing Options, INFORMS Annual Conference (2021), Virtual.

  • Flight and Maintenance Planning for Military Aircraft Fleet: A Data-Driven Approach, INFORMS Annual Meeting (2021), Virtual.

  • Machine Learning and Simulation-Based Framework for Disaster Preparedness Prediction, Bringing Land, Ocean, Atmosphere, and Ionosphere Data to the Community for Natural Hazard Workshop (2021), Virtual.

  • Risk Aversion, Policy Contingency, and Sourcing Options, POMS 31st Annual Conference (2021), Virtual.

  • Distributionally Robust Orienteering Problem with Uncertain Service Time, INFORMS Annual Meeting (2020), Virtual.

  • Distributionally Robust Portfolio Optimization with STARR Performance Measure, INFORMS Annual Meeting (2020), Virtual

  • A Two-Stage Chance-Constrained Distributionally Robust Optimization Model for Humanitarian Relief Network Design, INFORMS Annual Meeting (2019), Seattle, WA.

  • A CVaR Based Facility Location Model for Uncertain Demand in Disaster Operation Management, IISE Annual Conference (2019), Orlando, FL.

  • Newsvendor Model as an Exchange Option on Demand and Supply Uncertainty, POMS 30th Annual Conference (2019), Washington DC.

  • Data-Driven Distributionally Robust Chance-Constrained Optimization with Wasserstein Metric, INFORMS Annual Meeting (2018), Phoenix, AZ.

  • Data-Driven Distributionally Robust Chance-Constrained Optimization with Wasserstein Metric, 23rd International Symposium on Mathematical Programming (ISMP 2018), Bordeaux, France.

  • Data-Driven Distributionally Robust Stochastic Optimization: Theory and Applications, Seminar at College of Water Resources and Civil Engineering, China Agricultural University (2018), Beijing, China.

  • Data-Driven Distributionally Robust Chance-Constrained Programming with Wasserstein Metric, INFORMS Annual Meeting (2017), Houston, TX.

  • Dynamic Portfolio Optimization with Risk-Aversion Adjustment Utilizing Technical Indicators, 20th International Conference on Information Fusion (Fusion 2017), Xi'an, China.

  • Data-Driven Optimization of Reward-Risk Ratio Measures, INFORMS Annual Meeting (2016), Nashville, TN.

  • Portfolio Optimization with Probabilistic Ratio Constraints, INFORMS Annual Meeting (2015), Philadelphia, PA.

  • Risk-Budgeting Multi-Portfolio Optimization with Portfolio and Marginal Risk Constraints, INFORMS Annual Meeting (2015), Philadelphia, PA.

  • Risk-Budgeting Multi-Portfolio Optimization with Portfolio and Marginal Risk Constraints, 22nd International Symposium on Mathematical Programming (ISMP 2015), Pittsburgh, PA.

  • Portfolio Optimization Using Gini-based Risk Measures, INFORMS Annual Meeting (2014), San Francisco, CA.

  • Stochastic Multi-Portfolio Optimization: Threshold Boolean Programming Model and Solution, INFORMS Annual Meeting (2013), Minnesota, MI.

  • Combinatorial Data Mining Method for Multi-Portfolio Stochastic Asset Allocation, XIII International Conference of Stochastic Programming (ICSP 2013), Bergamo, Italy.

  • Interactive Portfolio Optimization Using Mean-Gini Criteria, INFORMS Annual Meeting (2012), Phoenix, AZ