贾润达 - 东北大学 - 信息科学与工程学院

个人简介

教育经历 2000.09-2004.06 大连理工大学电子与信息工程学院自动化专业学士学位 2004.09-2007.01 大连理工大学电子与信息工程学院控制理论与控制工程专业硕士学位 2007.03-2011.01东北大学信息科学与工程学院控制理论与控制工程专业博士学位工作经历 2011.01-2016.12 东北大学信息科学与工程学院讲师 2019.11-2020.10 康奈尔大学化学与生物分子工程学院访问学者 2017.01至今东北大学信息科学与工程学院副教授

研究领域

工业大数据分析；统计机器学习；预测控制；自愈控制；不确定规划；工业人工智能

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Runda Jia, Bin Zhang, Dakuo He, Zhizhong Mao, Fei Chu. Data-driven-based self-healing control of abnormal feeding conditions inthickening–dewatering process, Minerals Engineering, 2020, 146, 106141. 2. Runda Jia, Zhizhong Mao, Dakuo He, Fei Chu. Hierarchical batch-to-batch optimization of cobalt oxalate synthesis process based on data-driven model, Chemical Engineering Research and Design, 2019, 144, 185-197. 3. Runda Jia, Zhizhong Mao, Fuli Wang. Combining just-in-time modeling and batch-wise unfolded PLS model for the derivative-free batch-to-batch optimization, Canadian Journal of Chemical Engineering, 2018, 96, 1156-1167. 4. Runda Jia, Zhizhong Mao, Fuli Wang, Dakuo He. Sequential and orthogonalized partial least-Squares model based real-time final quality control strategy for batch processes, Industrial & EngineeringChemistryResearch, 2016, 55, 5654-5669. 5. Runda Jia, Zhizhong Mao, Fuli Wang. Self-correcting modifier-adaptation strategy for batch-to-batch optimization based on batch wise-wise unfolded PLS model, Canadian Journal of Chemical Engineering, 2016, 94, 1770-1782. 6. Runda Jia, Zhizhong Mao, Fuli Wang, Dakuo He. Batch-to-batch optimization of cobalt oxalate synthesis process using modifier-adaptation strategy with latent variable model, Chemometrics and Intelligent Laboratory Systems, 2015, 140, 73-85. 7. Runda Jia, Zhizhong Mao, Fuli Wang, Dakuo He. Self-tuning final product quality control of batch processes using kernel latent variable model, Chemical Engineering Research and Design, 2015, 94, 119-130. 8. Runda Jia, Zhizhong Mao, Yuqing Chang, Luping Zhao. Soft-sensor for copper extraction process in cobalt hydrometallurgy based on adaptive hybrid model, Chemical Engineering Research and Design, 2011, 89, 722-728. 9. Runda Jia, Zhizhong Mao, Yuqing Chang, Shuning Zhang. Kernel partial robust M-regression as a flexible robust nonlinear modeling technique, Chemometrics and Intelligent Laboratory Systems, 2010, 100, 91-98. 10.贾润达, 毛志忠, 常玉清. 基于非线性偏鲁棒M-回归的萃余液pH值软测量, 自动化学报, 2009, 35(5), 583-587.