牛泽坤，2018级博士生，现研究光纤非线性补偿和非线性性能优化问题，负责基于Python的智能光纤仿真平台的开发。爱好篮球摄影和围棋。

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[2] Niu Z, Dai C, Yang H, et al. Mutual Information Estimation for Optical Fiber Communication By Deep Learning[J]. submitted to Journal of Lightwave Technology.

[3] Yang H, Niu Z, Xiao S, et al. Fast and accurate optical fiber channel modeling using generative adversarial network[J]. Journal of Lightwave Technology, 2020, 39(5): 1322-1333.

[4] Yang H, Niu Z, Zhao H, et al. Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme[J]. Journal of Lightwave Technology, 2022.

[1] 义理林,牛泽坤,杨航，“基于可微辅助信道的端到端优化方法及系统”，CN202111405475.5

[2] 义理林,梁家熙,牛泽坤，“基于互信息量估计神经网络的物理层保密方法及系统”，CN202111574717.3

[3] 义理林,杨航,牛泽坤，“基于特征解耦的分布式光纤信道快速精确建模方法和系统”，CN202111478750.6

[4] 义理林,牛泽坤,梁家熙，“基于互信息量估计的几何与概率联合星座整形方法及系统”, CN202210010298.9