• 上海市科学技术委员会, 青年科技英才扬帆计划, 面向智能物理系统风险评估的数据驱动型稀有事件仿真方法, 2022-04 至 2025-03, 20万元, 主持

部分出版物：

（一）数据驱动优化

• Hong, J. L., Huang, Z., and Lam, H., Learning-based robust optimization: procedures and statistical guarantees, Management Science, 67(6), 3447-3467, 2021.
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• Bai, Y., Huang, Z., Lam, H., Model calibration via distributionally robust optimization: on the NASA Langley uncertainty quantification challenge, Mechanical Systems and Signal Processing, Special Issue on the NASA Challenge, 164:108211, 2022

（二）稀有事件仿真

• Bai, Y., Huang, Z., Lam, H., Zhao, D., Over-conservativeness of variance-based efficiency criteria and probabilistic efficiency in rare-event simulation, to appear in Management Science.
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• Huang, Z., Lam, H., and LeBlanc, D., Zhao, 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.
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• Bai, Y., Huang, Z., Lam, H., Zhao, D., Rare-event simulation for neural network and random forest predictors, ACM Transactions on Modeling and Computer Simulation, vol. 32, no. 3, Article 18, 1-33, 2022.