测控技术系

韩春晓

日期:2024年11月12日 18:35 来源:自动化与电气工程学院 作者:韩春晓


基本信息:198311月,无党派人士,天津人,教授,硕士生导师/博士生导师

研究方向:脑机融合技术、非线性信息处理

教育背景:

2002/09-2006/07,天津大学,电气与自动化工程学院,自动化专业,工学学士

2006/09-2010/12,天津大学,电气与自动化工程学院,检测技术与自动化装置专业,工学博士

工作经历:

2019/12-至今,天津职业技术师范大学,自动化与电气工程学院,教授

2014/11-2019/11,天津职业技术师范大学,自动化与电气工程学院,副教授

2013/10-2014/10,宾夕法尼亚洲立大学,神经工程中心,访问博士后

2012/09-2014/10,中国科学院,半导体研究所,博士后

2010/12-2014/10,天津职业技术师范大学,自动化与电气工程学院,讲师

2010/03-2010/06,香港理工大学, 电机工程系,研究助理

学术兼职:

1.   天津市自动化学会第十届理事

2.   中国智慧工程研究会劳动与科技工程教育工作委员会第一届理事

3.   天津市知识分子联谊会第三届会员

获奖情况:

指导学生竞赛获奖

1.   中国国际大学生创新大赛天津赛区, 2024, 天津赛区金奖

2.   世界机器人大赛锦标赛, 2024, 国家级三等奖

3.   睿抗机器人开发者大赛, 2024, 国家级二等奖

4.   第六届全国大学生嵌入式芯片与系统设计竞赛, 2023, 国家级三等奖

5.   第十八届中国研究生电子设计竞赛, 2023, 省部级一等奖

6.   第九届中国国际互联网+大学生创新创业大赛, 2023, 省部级二等奖

7.   全国大学生物联网设计竞赛, 2023, 省部级二等奖

8.   全国田家炳杯全日制教育硕士专业学位研究生(职业技术教育领域)教学技能大赛, 2023, 国家级三等奖

9.   兆易创新杯第十七届中国研究生电子设计竞赛, 2022, 省部级一等奖

10. 天津市创新创业大赛暨中国创新创业大赛, 2022, 省部级一等奖

11. 第五届全国大学生嵌入式芯片与系统设计竞赛, 2022, 省部级二等奖

12. 第五届全国大学生嵌入式芯片与系统设计竞赛, 2022, 省部级二等奖

13. 第五届天津市大学生信息技术新工科工程实践创新技术竞赛, 2022, 天津市一等奖

14. 22. 华北五省(市、自治区)大学生机器人大赛, 2022, 省部级二等奖

15. 第七届中国国际互联网+”大学生创新创业大赛, 2021, 天津市金奖.

16. 华北五省(市、自治区)大学生机器人大赛, 2021, 华北五省一等奖.

17. “华为杯第十七届中国研究生数学建模竞赛, 2020, 国家三等奖

18. 第十五届挑战杯天津市大学生课外学术科技作品竞赛, 2019, 天津市级二等奖.

学术论文:

[1]   A deep learning framework for identifying Alzheimer’s disease using fMRI-based brain network. Frontiers in Neuroscience, 2023.

[2]   A Novel Framework of MOPSO-GDM in Recognition of Alzheimer's EEG-Based Functional Network. Frontiers in Aging Neuroscience, 2023.

[3]   Epileptic Seizure Detection Using Geometric Features Extracted from SODP Shape of EEG Signals and AsyLnCPSO-GA. Entropy, 2022.

[4]   Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals. Entropy, 2022.

[5]   Model Predictive Control for Seizure Suppression Based on Nonlinear Auto-Regressive Moving-Average Volterra Model, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020.

[6]   Brain Complex Network Characteristic Analysis of Fatigue during Simulated Driving Based on Electroencephalogram Signals. Entropy, 2019.

[7]   Vibrational resonance without tuning in a neuronal parallel array. Physica A: Statistical Mechanics and its Applications, 2019.

[8]   Parameter estimation of slow potassium dynamics in a neuron model for seizure-like activity via adaptive lag synchronization and unscented Kalman filter. International Journal of Modern Physics B, 2019.

[9]   Calcium conductance-dependent network synchronization is differentially modulated by firing frequency. International Journal of Modern Physics B, 2019.

[10]           Robust closed-loop control of spike-and-wave discharges in a thalamocortical computational model of absence epilepsy. Scientific Reports, 2019.

[11]           Vibrational resonance in a randomly connected neural network. Cognitive Neurodynamics, 2018.

[12]           Toward heterogeneity in feedforward network with synaptic delays based on FitzHugh–Nagumo model. International Journal of Modern Physics B, 2018.

[13]           Input-output mapping reconstruction of spike trains at dorsal horn evoked by manual acupuncture. International Journal of Modern Physics B, 2016.

[14]           Spike-frequency adaptation of a two-compartment neuron modulated by extracellular electric fields. Biological cybernetics, 2015.

[15]           Desynchronization in an ensemble of globally coupled chaotic bursting neuronal oscillators by dynamic delayed feedback control, International Journal of Modern Physics B, 2015.

[16]           Effects of DC electric fields on neuronal excitability: A bifurcation analysis. International Journal of Modern Physics B, 2014.

[17]           Exploring how extracellular electric field modulates neuron activity through dynamical analysis of a two-compartment neuron model. Journal of Computational Neuroscience, 2014.

[18]           An ephaptic transmission model of CA3 pyramidal cells: an investigation into electric field effects. Cognitive Neurodynamics, 2014.

[19]           Exploring action potential initiation in neurons exposed to DC electric fields through dynamical analysis of conductance-based model. Communications in Nonlinear Science and Numerical Simulation, 2014.

[20]           Dynamic analysis of Hodgkin’s three classes of neurons exposed to extremely low-frequency sinusoidal induced electric field. Applied Mathematics and Computation, 2014.

[21]           Analysis of interspike interval of dorsal horn neurons evoked by different needle manipulations at ST36. Acupuncture in Medicine, 2014.

[22]           Effects of extremely low-frequency magnetic fields on the response of a conductance-based neuron model. International Journal of Neural Systems, 2014.

[23]           Ordinal Pattern Based Complexity Analysis for EEG Activity Evoked by Manual Acupuncture in Healthy Subjects. International Journal of Bifurcation and Chaos, 2014.

[24]           Investigation of EEG abnormalities in the early stage of Parkinson's disease. Cognitive Neurodynamics, 2013.

[25]           Topology identification of uncertain nonlinearly coupled complex networks with delays based on anticipatory synchronization. Chaos, 2013.

[26]           Multi-scale order recurrence quantification analysis of EEG signals evoked by manual acupuncture in healthy subjects. Cognitive Neurodynamics, 2013.

[27]           Modulation of electroencephalograph activity by manual acupuncture stimulation in healthy subjects: An autoregressive spectral analysis. Chinese Physics B, 2013.

[28]           Modulation of brain functional connectivity with manual acupuncture in healthy subjects: an EEG case studying. Chinese Physics B, 2013.

[29]           Adaptive lag synchronization based topology identification scheme of uncertain general complex dynamical networks. The European Physical Journal B, 2012.

[30]           Spiking patterns of a minimal neuron to ELF sinusoidal electric field. Applied Mathematical Modelling, 2012.

[31]           Parameter estimation of the FitzHugh-Nagumo model using noisy measurements for membrane potential. Chaos, 2012.

[32]           Bifurcations in the Hodgkin-Huxley model exposed to DC electric fields. Neurocomputing, 2012.

[33]           Decoding acupuncture electrical signals in spinal dorsal root ganglion. Neurocomputing, 2012.

[34]           Characteristics analysis of acupuncture electroencephalograph based on mutual information Lempel-Ziv complexity. Chinese Physics B, 2012.

[35]           基于复杂度的针刺脑电信号特征提取. 物理学报, 2011.

[36]           针刺足三里的脊髓背根神经电信号非线性特征提取, 物理学报, 2010.

[37]           Fire patterns of modified HH neuron under external sinusoidal ELF stimulus. Chaos, Solitons & Fractals, 2009.

主持课题:

1.   主持, 天津市自然科学基金面上项目(18JCYBJC88200, 2018.10-2021.09

2.   主持, 中国博士后科学基金面上项目(2013M530060, 2013.06-2015.09

3.   主持, 天津市自然科学基金青年项目(13JCQNJC03700, 2013.04-2016.09

4.   主持, 国家自然科学基金青年项目(61104032, 2012.01-2014.12

5.   参加, 天津市卫生健康科技面上项目(TJWJ2024MS037, 2024.07-2027.06

6.   参加, 天津市自然科学基金面上项目(15JCYBJC19000, 2015.04-2018.03

7.   参加,国家高技术研究发展计划(863计划)(2015AA033303, 2015.01-2017.12

8.   参加, 国家自然科学基金青年项目(61401312, 2015.01-2017.12

9.   参加, 国家自然科学基金面上项目(61374182, 2014.01-2017.12

10. 参加, 国家自然科学基金青年项目(81001551, 2011.01-2013.12

11. 参加, 国家自然科学基金青年项目(50907044, 2010.01-2012.12

12. 参加, 国家自然科学基金青年项目(50707020, 2008.01-2010.12

发明专利:

申请专利10余项,其中授权7项;授权软件著作权10余项。

1.    一种基于EcoG癫痫神经信号的解码方法和云端解码系统. 专利号: 201910049383.4.

其他荣誉:

1.   天津市特聘教授青年学者

2.   “十三五中青年骨干创新人才培养计划人选

3.   “131”创新型人才培养工程第二层次人选

4.   天津职业技术师范大学优秀青年教师资助计划人选