•  Understanding Energy Burden in New England Households, INFORMS Annual Meeting, Seattle, WA, October 2024.

•  A Robust Optimal Sampling Policy for Ranking and Selection, INFORMS Simulation Society Research Workshop, Hong Kong, June 2023.

•  Energy Justice Implication of Large-Scale Electric Vehicle Adoption: A New England Case Study, INFORMS Annual Meeting, Phoenix, AZ, October 2023.

•  Exploring a Symbiosis of Simulation and Artificial Intelligence: Initial Efforts in Simulation Optimization, Department of Systems and Industrial Engineering, University of Arizona, Tucson, AZ, September 2023.

•  Real-time Digital Twin-based Optimization with Proactive Simulation Learning, INFORMS Annual Meeting, October 2022.

•  Towards Self-healing Resilient Microgrids using DDDAS, virtual AFOSR DDIP program review, September 2021.

•  Efficient Simulation Optimization with Simulation Learning, virtual INFORMS Simulation Society Workshop, June 2021.

•  Efficient Multi-fidelity Sampling for Optimization of Complex Systems, virtual IISE Annual Conference and Expo, May 2021.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Industrial and Management Systems Engineering, University of South Florida, March 2021.

•  Optimal Sampling Budget Allocation for Dynamic Data Driven Applications Systems, virtual INFORMS Annual Meeting, November 2020.

•  Criticality-based Optimal Hardening of Power Lines for Improved Power Grid Weather Resilience, virtual NSF Algorithms for Modern Power Systems workshop, November 2020.

•  Optimal Computing Budget Allocation with Sensitivity Information, virtual Spring Simulation Conference, May 2020.

•  Statistical Ranking of Criticality of Power Lines for Hardening for Improved Power Grid Weather Resilience, Center for Energy, Environmental, and Economic Systems Analysis, Argonne National Lab, Lemont, IL, March 2020.

•  Monte Carlo Tree Search with Optimal Computing Budget Allocation, Canadian Mathematical Society Winter Meeting, Toronto, Canada, December 2019.

•  A Simulation-based Optimization Approach to Improve Power Grid Weather Resilience, INFORMS Annual Meeting, Seattle, WA, October 2019.

•  Monte Carlo Tree Search with Optimal Computing Budget Allocation, Department of Mathematics and Statistics, York University, Toronto, Canada, August 2019.

•  Exploiting Digital Twinning Capabilities for Port Resilience Evaluation, 9th International Conference on Logistics and Maritime Systems, Singapore, August 2019.

•  Optimal Computing Budget Allocation with Sensitivity Information, Pre-Workshop 9th International Conference on Logistics and Maritime Systems, Singapore, August 2019.

•  Assimilating weather and outage data for power system hardening against natural disasters, IEEE Power and Energy Society General Meeting, Atlanta, GA, August 2019.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Industrial Engineering and Management, Shanghai Jiaotong University, Shanghai, China, July 2019.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Management Science and Engineering, Tongji University, Shanghai, China, July 2019.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy, May 2019.

•  Multi-fidelity Sampling for Efficient Simulation-based Decision Making in Manufacturing Management, IISE Annual Conference, Orlando, FL, May 2019.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, VA, April 2019.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, VA, April 2019.

•  Efficient Simulation Sampling Using Multi-fidelity Models, East Coast Optimization Meeting, Fairfax, VA, April 2019.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Statistics and Operations Research, Virginia Common Wealth University, Richmond, VA, October 2018.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Mathematics, George Mason University, Fairfax, VA, October 2018.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Peking University, Beijing, China, June 2018.

•  A Structured Approach for Parallel Simulation Optimization Implementation. INFORMS Annual Meeting, Houston, TX, October 2017.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Department of Computer Science, Virginia Tech, Falls Church, VA, October 2017.

•  Concurrent Engineering: An Optimization Approach for Team Coordination and Information Sharing, IEEE Conference on Automation Science and Engineering, Xi An, China, August 2017.

•  Efficient Stochastic Simulation Optimization Algorithms and Their Applications, Northwest Polytechnic University, Xi An, China, August 2017.

•  Concurrent Engineering: An Optimization Approach for Team Coordination and Information Sharing, Beijing Institute of Technology, Beijing, China, July 2017.

•  Efficient Sampling Allocation Using Multi-Fidelity Information in Simulation Optimization, SIAM Conference on Computational Science and Engineering, Atlanta, GA, March 2017.

•  Panelist for "Dynamic Data Driven Application Systems For Smart Cities And Urban Infrastructures," Winter Simulation Conference, Arlington, VA, December 2016.

•  Parallel Empirical Stochastic Branch and bound for Large-scale Discrete Optimization via Simulation, Winter Simulation Conference, Arlington, VA, December 2016.

•  Efficient Multi-fidelity Decision Making For Dynamic Data Driven Application Systems. Invited talk, INFORMS Annual Meeting, Nashville, TN, November 2016.

•  Parallel Empirical Stochastic Branch & Bound for Runway Capacity Optimization. 2016 INFORMS Annual Meeting, Nashville, TN, November 2016.

•  Stochastic Optimization Using Hellinger Distance. Invited seminar, George Washington University, Washington, DC, October 2016.

•  Stochastic Optimization Using Hellinger Distance. Invited seminar, University of Electronic Science and Technology of China, Chengdu, China, August 2016.

•  Efficient Simulation Optimization under Uncertainty via Multi-fidelity Modeling and Analysis. Invited seminar, Sichuan University, Chengdu, China, August 2016.

•  Efficient Optimization via Multi-fidelity Simulation. Invited seminar, INSEAD, Fontainebleau, France, March 2016.

•  Stochastic optimization using Hellinger distance. Invited seminar, School of Management and Economics Beijing Institute of Technology, Beijing, China, December 2015.

•  A New Framework for Multi-fidelity Simulation Optimization. Invited presentation, ISIM 2015 Workshop: At the Interface of Simulation and Optimization, Purdue University, West Lafayette, IN, July 2015.

•  Towards Industrial Strength Simulation-Based Optimization: Parallelization and Data-Driven Distributional Robustness. Invited seminar, MITRE Corporation, McLean, VA, May 2015.

•  Multi-fidelity Optimization with Ordinal Transformation & Optimal Sampling. 14th INFORMS Computing Society Conference, Richmond, VA, January 2015.

•  Towards Industrial Strength Discrete Optimization via Simulation: Multi-Fidelity Optimization and Data-Driven Robustness. Argonne National Lab, Argonne, IL, November 2014.

•  Multi-fidelity Optimization with Ordinal Transformation & Optimal Sampling. INFORMS 2014 Annual Meeting, San Francisco, CA, November 2014.

•  Data-Driven Decision Making: A Disparity based Robust Approach. WINFORMS seminar, Arlington, VA, October 2014.

•  Data-Driven Decision Making: A Disparity based Robust Approach. Department of Statistics, George Mason University, Fairfax, VA, September 2014.

•  MO2TOS: Multi-fidelity Optimization via Ordinal Transformation and Optimal Sampling. SAS Institute, Cary, NC, April 2014.

•  Determining the optimal sampling set size for random search. Winter Simulation Conference, Washington, D.C., December 2013.

•  Discrete Optimization via Simulation for Semiconductor Manufacturing Production Planning. Industrial and Systems Engineering Research Conference, San Juan, Puerto Rico, May 2013.

•  Efficient Discrete Optimization via Simulation Using Stochastic Kriging. Winter Simulation Conference, Berlin, Germany, December 2012.

•  A Statistical Model Based Simulation Study of the Re-emergence of S. vulgaris in Horse Farms Adopting Selective Therapy. INFORMS annual meeting, Phoenix, AZ, October 2012.

•  Nested Rare Event Simulation. INFORMS annual meeting, Phoenix, AZ, October 2012.

•  Industrial Strength Theory and Algorithms for Discrete Optimization via Simulation. SAS Institute, Cary, NC, October 2012.

•  Non-uniform Sampling Distribution for Discrete Optimization via Simulation. INFORMS annual meeting, Charlotte, NC, November 2011.

•  Industrial Strength Discrete Optimization via Simulation Algorithms for High-Dimensional Problems. SAS Institute, Cary, NC, August 2010.

•  Simulation Optimization using Adaptive Hyperbox in High Dimensions. INFORMS annual meeting, San Diego, CA, October 2009.

•  Industrial Strength Discrete Optimization via Simulation Algorithms. ExxonMobil Upstream Research Company, Houston, TX, January 2009.

•  Joint Product Line and Supply Chain Design. INFORMS annual meeting, Washington D.C., October 2008.

•  Algorithm for variance reduction in Conditional Value-at-Risk estimation using Importance Sampling for Stochastic Optimization. IBM TJ Watson Research Center, Yorktown Heights, NY, September 2008.

•  Industrial Strength COMPASS: A Comprehensive Algorithm and Software for Optimization via Simulation. INFORMS annual meeting, Pittsburgh, PA, November 2006.