Teaching

• 2020, Teaching Assistant, Department of Industrial and Operations Engineering, University of Michigan
• 2014, Teaching Assistant, School of Engineering, Boston University

International Experience

• 2020, Postdoctoral Research Associate, Carnegie Mellon University
• 2018-2020, Visiting Student, Columbia University

Research Interests  

• Monte Carlo Simulation
• Stochastic and Robust Optimization
• Rare-Event Simulation

Selected Publications

Papers

• Hong, J. L., Huang, Z. * and Lam, H., Learning-based robust optimization: procedures and statistical guarantees, to appear on Management Science.
• Huang, Z. *, Zhao, D., Lam, H., and LeBlanc, D., Accelerated evaluation of automated vehicles via importance sampling under piecewise mixture distributions, IEEE Transactions on Intelligent Transportation Systems, vol.  19, no.  9, pp.  2845-2855, 2018.
• Bai, Y., Huang, Z. *, Lam, H., A distributionally robust optimization approach to the NASA Langley uncertainty quantification challenge, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference(ESREL2020 PSAM15), 2020.
• Huang, Z. *, Arief, M., Lam, H., Zhao, D., Evaluation uncertainty in data driven self-driving testing, Proceedings of the IEEE 22nd Inter-national Intelligent Transportation Systems Conference (ITSC), 2019.
• Huang, Z. *, Lam, H., On the impacts of tail model uncertainty in rare-event estimation, Proceedings of the Winter Simulation Conference (WSC), 2019.
• Luo, Q., Huang, Z. *, Lam, H., Dynamic congestion pricing for ride sourcing traffic:   a simulation optimization approach, Proceedings of the Winter Simulation Conference (WSC), 2019.
• Huang, Z. *, Lam, H., Zhao, D., Designing importance samplers to simulate machine learning predictors via optimization, Proceedings of the Winter Simulation Conference (WSC), 2018.
• Huang, Z. *, Lam, H., Zhao, D., Rare-event simulation without structural information: a learning-based approach, Proceedings of the Winter Simulation Conference (WSC), 2018.
• Huang, Z. *, Arief, M., Lam, H., Zhao, D., Synthesis of different autonomous vehicles test approaches, Proceedings of the IEEE 21thInternational Intelligent Transportation Systems Conference (ITSC),2018.
• Huang, Z. *, Guo, Y, Lam, H., Zhao, D., A versatile approach for the evaluation and testing of automated vehicles based on kernel methods, Proceedings of the American Control Conference (ACC), 2018.
• Huang, Z. *, Lam, H., Zhao, D., Sequential experimentation to efficiently test automated vehicles, Proceedings of the Winter Simulation Conference (WSC), 2017.
• Huang, Z. *, Lam, H., Zhao, D., Towards affordable on-track testing for autonomous vehicle - a kriging-based statistical approach, Proceedings of the IEEE 20th International Intelligent Transportation Systems Conference (ITSC), 2017.
• Huang, Z. *, Lam, H., Zhao, D., An accelerated testing approach for automated vehicles with background traffic described by joint distributions, Proceedings of the IEEE 20th International Intelligent Transportation Systems Conference (ITSC), 2017.
• Huang, Z. *, Lam, H., Zhao, D., Evaluation of automated vehicles in the frontal cut-in scenario - an enhanced approach using piecewise mixture model, Proceedings of the International Conference on Robotics and Automation (ICRA), 2017.
• Hong, J. L., Huang, Z. *, and Lam, H., Approximating data-driven joint chance-constrained programs via uncertainty set construction, Proceedings of the Winter Simulation Conference (WSC), 2016.