Homepage of Zhangyue Shi

Bio

I am Zhangyue Shi, a data scientist at Bayer Crop Science. I obtained my PhD degree at School of Industrial Engineering & Management with minor in Statistics, Oklahoma State University, advised by Prof. Chenang Liu. I obtained my Bachlor degree in Mechanical Engineering from Xi`an Jiaotong University, China.

Research Interests

My research focus on advanced data analytics-based quality assurance for smart manufacturing from different perspectives, which invovles the general areal of machine learning, blockchain, and sensor fusion.

  • Data quality assurance: Propose a blockchain-enabled framework to prevent malicious cyber-physical attacks occuring on important data (stream data) and files (G-code).
  • Design quality assurance: Develop an autoencoder-based feature extraction method for smart machine parameter selection.
  • Process quality assurance: Incorporate LSTM-autoencoder, augmented time regularized genetative adversarial network (ATR-GAN), knowledge distillation (ongoing) to enhance the in-situ monitoring performance.

Education

  1. Oklahoma State University\ Ph.D. major in Industrial Engineering and Management, minor in Statistics (Aug 2019 - Jul 2023)
  2. Xi`an Jiaotong University\ B.Eng. in Mechanical Engineering (Aug 2015 - Jun 2019)

个人简介

我是石章汋,拜耳农作物科学的数据科学家。我在俄克拉荷马州立大学工业工程与管理学院取得博士学位(统计学辅修),导师为刘晨昂教授。本科毕业于中国西安交通大学机械工程专业。

研究方向

我的研究聚焦于面向智能制造的高级数据分析质量保证,涵盖机器学习、区块链及传感器融合等领域。

  • 数据质量保障:提出区块链框架,防范对重要流式数据G-code文件的恶意网络物理攻击。
  • 设计质量保障:开发基于自动编码器的特征提取方法,用于智能机器参数选择
  • 过程质量保障:融合LSTM自动编码器、增强时序正则化生成对抗网络(ATR-GAN)及知识蒸馏技术,提升原位监测性能。

教育背景

  1. 俄克拉荷马州立大学\ 博士 工业工程与管理专业(统计学辅修),2019年8月 - 2023年7月
  2. 西安交通大学\ 工学学士 机械工程专业,2015年8月 - 2019年6月