个人简介
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
工作经历
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
招收博士/硕士方向
欢迎自动化、控制理论、计算机科学等专业学生报考博士、硕士研究生。
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协调优化方法，2018109585678
6.肖冬,程锦甫,黎霸俊,毛亚纯,柳小波,王继春,何大阔.一种菱镁矿矿石的品级的分类方法及系统，2017109541124
7.黎霸俊,肖冬,毛亚纯,宋亮,刘善军,何大阔.一种基于煤炭光谱数据对煤炭分类的方法，2017105577428
8.贾润达，王庆凯，何大阔，陈小龙，高扬.金湿法冶金置换过程的优化方法，2014102581042
获奖
1.金属矿选矿过程检测与优化控制技术及工业应用，中国有色金属工业科学技术一等奖，中国有色金属工业协会，2019年
2.湿法冶金过程优化控制软件系统开发，中国有色金属工业科学技术二等奖，中国有色金属工业协会，2010年
3.电解过程控制与优化系统，中国有色金属工业科学技术三等奖，中国有色金属工业协会，2007年
联系方式
办公室：信息楼427
研究领域
研究方向
控制理论；人工智能
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.江铜集团大数据分析工具池建设，横向课题，2017-2018,120万
6.浓密机专家系统，横向课题，2016-2018,118万
7.浓密机建模仿真软件，横向课题，2018-2020，98万
8.浮选智能控制与仿真系统开发与应用，横向课题，2019-2020，118万
近期论文
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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.
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