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最新菠菜网正规平台研究生导师介绍-高强

姓名

高强

学历学位

硕士

性别

导师类型

博导

职称

教授

所属学院

最新菠菜网正规平台;海运学院

Email

gaoqiang@tjut.edu.cn

学术兼职

中国自动化学会会员、天津自动化学会会员计算机控制及应用分会理事;

中国电工技术学会会员、数字化工厂与智能制造技术专业委员会理事;

天津市新能源协会监事、天津市新能源协会、分布式发电与微电网联盟技术专家

招生专业

081100控制科学与工程;085400电子信息(控制工程)

080800电气工程;085801电气工程(专业学位);0808电气工程(博)

研究方向

智能控制理论及应用、智能制造技术、复杂控制系统故障诊断、脑机接口;

智能电网、电力系统故障诊断

代表性学术成果:

作为负责人和主要承担人先后获得天津市科技进步二等奖、三等奖多次,还获得中国仪器仪表协会、中国机械工业工程协会科技进步奖多次,完成省部级项目多项,完成多项与中海油、中石化、国网等大型企业委托的项目开发,近几年科研项目经费达500多万,发表学术论文60多篇,获批专利20多项。近几年发表的文章如下:

1.The Fusion of Electroencephalography and Facial Expression for Continuous Emotion Recognition,IEEE ACCESS,2019,(B类)

2.Investigating of deaf emotion cognition pattern by EEG and facial expression combination,IEEE Journal of Biomedical and Health Informatics,2021(B类)

3.Facial expression and EEG fusion for investigating continuous emotions of deaf subjects, IEEE Sensors Journal,2021,(C类)

4.Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System,BioMed Research International,2017,SCI:EW7GH。(C类)

5.Adaptive homo-backstepping tracking control for strict-feedback systems in presence of unknown dead-zones,INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING,2017,SCI:FF5QR(C类)

6.Single-Shot Object Detection with Split and Combine Blocks,APPLIED SCIENCES-BASEL,2020,(C类)

7.Facial expression recognition based on Electroencephalogram and facial landmark localization,TECHNOLOGY AND HEALTH CARE,2019,(D类)

8.Monitoring of Distillation Column Based on Indiscernibility Dynamic Kernel PCA,

9.Mathematical Problems in Engineering,SCI:DG7EL。(D类)

10.Research and Implementation of the Roll Position Automatic Adjustment System on the One-Time Forming of Cold-Formed Steel Unit,Journal of Advanced Manufacturing Systems,2018,EI:20182005207854。(E类)

11.Controlling of Smart Home System Based on Brain-computer Interface,Technology and Health Care,2019,SCI:HK3DA。(E类)

12.Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control,COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,2019,SCI:KX6CW。(E类)

13.EEG based emotion recognition using fusion feature extraction method,Multimedia Tools and Applications,2020,SCI:NW1GT。(E类)

14.A Quadrotor Helicopter Control System Based on Brain-computer Interface,2015 IEEE International Conference on Mechatronics and Automation (ICMA),(E类)