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方红庆

职称: 副教授 硕士生导师

部门: 能源与电气学院党委、能源与电气学院

学科:

教学部门:

电话:

邮件: fanghongqing@sohu.com

办公地址: 勤学楼5305

通讯地址: 江苏省南京市江宁区佛城西路8号

邮编: 211100

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个人简介

中共党员,博士,副教授,硕士研究生导师,美国华盛顿州立大学(Washington State University, USA), 国家公派博士后(人工智能/机器学习方向),江苏省2010年度高校“青蓝工程”优秀青年骨干教师培养对象。目前主要从事:(1)水力机组控制及其过渡过程; (2) 智能家居环境中人类活动的学习、预测与辨识等方面的研究工作。已在国际、国内权威学术期刊及国际学术会议以第一作者身份发表论文30多篇, 其中Sci检索6篇(JCR 1区4篇,3区1篇;中科院JCR 1区1篇,2区3篇,4区1篇)。

个人资料

  • 姓名: 方红庆
  • 性别:
  • 学位: 博士学位
  • 出生年月: 1975-07-05 00:00:00.0
  • 学历: 博士研究生
  • 毕业院校: 河海大学

教育经历

  • 1994.09-1998.07,河海大学,水利水电工动力工程,学士学位
  • 2002.03-2005.12,河海大学,水利水电工程,博士学位

工作经历

  • 1998.08-2000.06,山西省水利水电勘测设计研究院
  • 2005.12-,河海大学电气工程学院

研究领域

[1] 智能家居环境中人类活动的学习与识别算法

[2] 水力机组控制及其过渡过程

[3] 非线性控制

[4] 群智能优化算法


科研项目

论文

  • 1、Recurrent Neural Network for Human Activity Recognition in Smart Home,Proceedings of 2013 Chinese Intelligent Automation Conference,01-JAN-13
  • 2、Influence of time and length size feature selections for human activity sequences recognition,ISA Transactions,01-JAN-13
  • 3、Recurrent neural network for human activity recognition in smart home,Lecture Notes in Electrical Engineering,01-JAN-13
  • 4、Application of an improved PSO algorithm to optimal tuning of PID gains for water turbine governor,Energy Conversion and Management,01-JAN-11
  • 5、Intelligent Optimal Tuning of Hydraulic Turbine Governor PID Gains Based on Nonlinear Model,IEEE计算机科学与服务系统国际会议论文集,01-JAN-11
  • 6、Feature Selections for Human Activity Recognition in Smart Home Environments,International Journal of Innovative Computing, Information and Control,01-JAN-12
  • 7、BP Neural Network for Human Activity Recognition in Smart Home,IEEE计算机科学与服务系统国际会议,01-JAN-12
  • 8、An improved position prediction algorithm based on Active LeZi in Smart Home,IEEE计算机科学与服务系统国际会议,01-JAN-12
  • 9、BP neural network for human activity recognition in smart home,Proceedings - 2012 International Conference on Computer Science and Service System CSSS 2012,01-JAN-12
  • 10、基于线性与非线性模型的水轮机调速器PID参数优化比较,中国电机工程学报,01-JAN-10
  • 11、Application of an enhanced PSO algorithm to optimal tuning of PID gains,2009 Chinese Control and Decision Conference,01-JAN-09
  • 12、A novel PSO algorithm for global optimization of multi-dimensional function,2008中国控制与决策会议,01-JAN-08
  • 13、Comparison of PSO algorithm and its variants to optimal parameters of PID controller,2008中国控制与决策会议,01-JAN-08
  • 14、一种改进粒子群算法及其在水轮机控制器PID参数优化中的应用,南京理工大学学报(自然科学版),01-JAN-08
  • 15、Basic Modeling and Simulation Tool for Analysis of Hydraulic Transients in Hydroelectric Power Plants,IEEE Transactions on Energy Conversion,01-JAN-08
  • 16、非线性非最小相位系统伪线性复合控制,南京理工大学学报(自然科学版),01-JAN-05
  • 17、Modeling and Simulation of Hydraulic Transients for Hydropower Plants,Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference,01-JAN-05
  • 18、Optimal hydraulic turbogenerators PID governor tuning with an improved particle swarm optimization algorithm,中国电机工程学报,01-JAN-05
  • 19、基于改进粒子群算法的水轮发电机组PID调速器参数优化,中国电机工程学报,01-JAN-05
  • 20、Comparison of Different Integral Performance Criteria for Optimal Hydro Generator Governor Tuning with a Particle Swarm Optimization Algorithm,Lecture Notes in Computer Science,01-JAN-07
  • 21、Nonlinear control for hydro turbine generator unit with time-varying parameters via state feedback linearization,2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3,01-JAN-04
  • 22、Dynamic real-time simulator for hydraulic turbine generating unit based on programmable computer controller,IECON Proceedings (Industrial Electronics Conference),01-JAN-04
  • 23、High Performance Hydraulic Turbine Governor Based on Programmable Computer Controller,Proccedings of the 2004 International Conference on Dynamics, Instrumentation and Control,01-JAN-04
  • 24、基于面向对象技术的水电站数字仿真,扬州大学学报(自然科学版),01-JAN-03
  • 25、水轮机调节系统非线性扰动解耦控制,中国电机工程学报,01-JAN-04
  • 26、水轮机调节系统控制策略综述,人民长江,01-JAN-04
  • 27、Recognizing Human Activity in Smart Home Using Deep Learning algorithm,Proceedings of the 33rd Chinese Control Conference,28-JUL-14
  • 28、Human activity recognition based on feature selection in smart home using back-propagation algorithm,ISA Transactions,30-SEP-14
  • 29、Speed Governor PID Gains Optimal Tuning of Hydraulic Turbine Generator Set with An Improved Artificial Fish Swarm Algorithm,Proceedings of the IEEE International Conference on Information and Automation,03-AUG-16
  • 30、Real-time human activity recognition in smart home with binary tree SVM,Proceedings of the 35th Chinese Control Conference,27-JUL-16
  • 31、Maximal relevance feature selection for human activity recognition in smart home,The 30th Chinese Control and Decision Conference,09-JUN-18
  • 32、Active–disturbance–rejection–control and fractional–order–proportional–integral–derivative hybrid control for hydroturbine speed governor system,Measurement and Control,29-MAY-18

科技成果

开授课程

教学成果

教学资源

社会职务

荣誉及奖励

招生信息

硕士研究生导师,目前可在控制理论与控制工程专业招收硕士研究生,主要从事:(1) 智能家居环境中人类活动的学习、预测与辨识等方面的研究工作; (2) 水力机组控制及其过渡过程;(3)基于高性能可编程计算机控制器(PCC)的水力机组数字控制装置。