姓名：黄昊杰
性别：男
职称：讲师，硕导
学位：博士
电子邮件： haojie.huang@fzu.edu.cn
研究方向：机器学习，流程工业故障诊断与监测，工业互联网
教育工作经历
2024.9 入选bat365app官网入口登录旗山学者（国内引进项目）
2023.9至今 bat365app官网入口登录，bat365app官网入口登录，讲师
2021.10~2022.10 University Of Duisburg-Essen，Automatic control and complex systems，联合培养博士生
2017.9~2023.7 华东理工大学，控制科学与工程专业，博士（硕博连读）
2013.9~2017.6 华东理工大学，自动化专业，学士
科研简介
主持一项国家自然科学基金青年基金项目，参与国家自然科学基金杰青项目、国家自然科学基金重大项目、国家自然科学基金面上项目
代表性论文
[1] H. Huang, X. Peng, W. Du, S. X. Ding and W. Zhong, "Nitrogen Oxides Concentration Estimation of Diesel Engines Based on a Sparse Nonstationary Trigonometric Gaussian Process Regression with Maximizing the Composite Likelihood," in IEEE Transactions on Industrial Electronics, 2022
[2] H. Huang, Y. Song, X. Peng, S. Ding, W. Zhong, and W. Du, "A Sparse Nonstationary Trigonometric Gaussian Process Regression and its Application on Nitrogen Oxides Prediction of the Diesel Engine," IEEE Transactions on Industrial Informatics, 2021.
[3] H. Huang, Z. Li, X. Peng, S. X. Ding, and W. Zhong, "Gaussian Process Regression with Maximizing the Composite Conditional Likelihood," IEEE Transactions on Instrumentation and Measurement, 2021.
[4] H. Huang, X. Peng, C. Jiang, Z. Li, and W. Zhong, "Variable-Scale Probabilistic Just-in-Time Learning for Soft Sensor Development with Missing Data," Industrial & Engineering Chemistry Research, vol. 59, no. 11, 2020.
[5] H. Huang, X. Peng, W. Du, and W. Zhong, "Robust Sparse Gaussian Process Regression for Soft Sensing in Industrial Big Data Under the Outlier Condition," IEEE Transactions on Instrumentation and Measurement, 2024.
所属团队
bat365app官网入口登录先进控制技术研究中心
获奖情况
2022年华东理工大学成思危名誉校长奖学金
2018年华为杯第十五届中国研究生数学建模竞赛全国一等奖
2016年西门子竞赛过程控制赛事全国总决赛二等奖
