教育经历 1991.9-1995.7哈尔滨工业大学信息学院工业企业自动化专业学士学位 1995.9-1998.3东北大学信息科学与工程学院控制理论与控制工程专业硕士学位 1998.9-2002.9 东北大学 信息科学与工程学院 检测与自动化装置专业 博士学位

2002.9-2004.9东北大学计算机科学博士后 2004.9-2011.12东北大学信息科学与工程学院副教授 2012.1至今 东北大学 信息科学与工程学院 教授

项目 1. 复杂工业生产全流程工艺设计与操作一体优化基本理论与方法研究，国家基金委，61773105，2018.1-2021.12，63万 2.复杂工业全流程分层混合优化控制方法研究，国家基金委， 61374147，2014.1-2017.12, 79万 3.基于数据的协调回路控制的间歇过程一体优化方法研究，国家基金委，61004083，2011.1-2013.12，20万 4.湿法冶金全流程优化控制关键技术，863项目子课题，2011AA060204-01，2011-2014,315万 5.江ᠦ୔

学术成果 期刊论文 1. Hao Yan, Fuli Wang, Dakuo He, Luping Zhao, Qingkai Wang. Bayesian Network-Based Modeling and Operational Adjustment of Plantwide Flotation Industrial Process. Industrial & Engineering Chemistry Research, 2020, 59(5): 2025-2035. 2. Runda Jia, Bin Zhang, Dakuo He, Zhizhong Mao, Fei Chu. Data-driven-based self-healing control of abnormal feeding conditions in thickening-dewatering process. Minerals Engineering, 2020, 146: 1-13. 3. Liu Yan, Wang Fuli, Chang Yuqing, Gao Furong, He Dakuo. Performance-relevant kernel independent component analysis based operating performance assessment for nonlinear and non-Gaussian industrial processes[J]. Chemical Engineering Science, 2019, 209: 1-20. 4. Ba Tuan Le, Dong Xiao, Yachun Mao, Dakuo He, Jialiu Xu, Liang Song. Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(7): 4192-4201. 5. Dakuo He, Zhengsong Wang, Qing Liu, Jiahui Shi, Le Yang, Qingkai Wang, Jianjun Zhao. Process Feature Change Recognition Based on Mod Performance Monitoring and Adaptive Model Correction for the Gold Cyanidation Leaching Process. IEEE Access, 2019, 7: 28955-28967. 6. Feng Yu, Zhizhong Mao, Ping Yuan, Dakuo He, Mingxing Jia. Recursive parameter estimation for Hammerstein-Wiener systems using modified EKF algorithm. ISA Transactions, 2017, 70:104-115. 7. Dakuo He, Zhengsong Wang, Le Yang, Wanwan Dai. Study on missing data imputation and modeling for the leaching process. Chemical Engineering Research and Design, 2017, 124: 1-19. 8. Dapeng Niu, Mingxing Jia, Fuli Wang, Dakuo He. Optimization of Nosiheptide Fed-Batch Fermentation Process Based on Hybrid Model. Industrial & Engineering Chemistry Research, 2013, 52(9): 3373-3380. 9. Dakuo He, Gang Dong, Fuli Wang, Zhizhong Mao. Optimization of dynamic economic dispatch with valve-point effect using chaotic sequence based differential evolution algorithms. Energy Conversion and Management, 2011, 52(2): 1026-1032. 10. Dakuo He, Fuli Wang, Zhizhong Mao. A hybrid genetic algorithm approach based on differential evolution for economic dispatch with valve-point effect. International Journal of Electrical Power & Energy Systems, 2008, 30(1): 31-38. 会议论文 1. Qing Liu, Zhengsong Wang, Yu Liang, Zhiqiang Wang, Fangting Peng, Dakuo He. Soft Sensor Modeling and Adaptive Model Correction Strategy for Gold Cyanide Leaching Process. Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019, p 6065-6070, June 2019. 2. Zhengsong Wang, Le Yang, Yu Liang, Qing Liu, Zhiqiang Wang, Dakuo He. Data-driven Particle Quality Control of Spray Fluidized Bed Granulation Process. Proceedings 2018 Chinese Automation Congress, CAC 2018, p 3607-3611, July 2, 2018. 3. Le Yang, Dakuo He, Qingkai Wang, Jiahuan Luo, Yingjie Huang, Zipeng Zhen. Particle swarm optimization algorithm based on robust control of random discrete systems. Proceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017, p 1089-1093, November 14, 2017. 4. Kang Li, Fuli Wang, Dakuo He, Shuning Zhang. A knowledge based intelligent control method for dehydration and mixing process. Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, p 477-482, July 12, 2017. 5. Dakuo He, Kai Zhang, Da Li, Qihao Wu. Research of process monitoring and fault trace system for annealing furnace of hot-dip galvanizing line. Lecture Notes in Electrical Engineering, v 378, p 279-287, 2016, Proceedings of 2015 International Conference on Electrical and Information Technologies for Rail Transportation. 6. Dakuo He, Yuanyuan Zhao, Fengli Wang, Hongrui Chang. Chaotic differential evolution algorithm based on mixed method for large-scale industrial processes of fuzzy model.Proceedings-2009International Conference on Computational Intelligence and Software Engineering, CiSE 2009. 7. Dakuo He, Fengli Wang, Shuo Li, Bingyu Yang. Chaotic differential evolution algorithm based on simplex method for large-scale industrial processes of fuzzy model. Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012,p 799-803,2012. 8. Dakuo He, Hongrui Chang, Qing Chang, Yang Liu. Particle Swarm Optimization based on the initial population of clustering. Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010, v 5, p 2664-2667, 2010. 9. Dakuo He, Jianhui Wang. Preliminary discussion on the individualized construction based on blend-learning and constructivism. Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009. 10. Dakuo He, Fuli Wang, Mingxing Jia. An improved genetic algorithm for a type of nonlinear programming problems. Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008, p 2582-2585, 2008.

专利 1.何大阔,贾润达,李康,张华鲁. 浓密机底流浓度、泥层高度、内部矿量软测量装置和方法, 2018106930303 2.何大阔,王福利,袁青云,李康.湿法冶金全流程分层优化控制方法，2014102581019 3.何大阔,毛志忠,尤富强,胡广浩,张淑宁,黄瑛.湿法冶金浸出过程浸出率预测与优化操作方法，2009100102945 4.王福利,李康,何大阔,贾润达.一种矿浆浓度在线实时检测装置和方法，2018106841140 5.贾润达,张华鲁,何大阔,王福利,甄子鹏.一种浓密脱水工序智能ᠦ୔