工学博士，工学院机器人工程系讲师。毕业于西安交通大学机械工程专业，主要研究方向为脑控机器人、人机混合智能、机器人控制等技术。先后主持及参与了国家重点研发计划专项课题1项，国家自然科学基金项目1项，国防科技创新项目2项，省部基金1项，市重点项目1项，横向项目多项。获得陕西高校科学技术成果二等奖1项，国家级科技竞赛奖3项（其中全国冠军1项、全国亚军1项），省部级科技竞赛奖2项。发表SCI、EI检索论文20余篇，授权国家发明专利近10项，登记软件著作权3项。受邀担任 IEEE WRC SARA、Frontiers in Psychology 等多个国际权威学术期刊审稿人。

学术兼职

n  中国指挥与控制学会无人系统专委会  委员

n  IEEE  Member

n  多个权威期刊特约审稿人

代表专著

医疗机器人技术丛书《无创脑控技术及应用》专著（筹），副主编，推荐编写人：丁汉院士

获湖北省公益学术著作基金项目资助

代表成果

In preparation

[1]     T Zhang, Z Yan, D Wang*, A Novel Multimodal Emotion Recognition Method Inspired by Biological Homology [J]. IEEE Transactions on Affective Computing. 2024

[2]     Z Yan, T Zhang*, D Wang*, A Novel Theory, Method and Device for Detecting Microscopic Surface Defects in Industrial Products [J]. IEEE Transactions on Instrumentation and Measurement. 2024

[3]     Y Chen, T Zhang*, D Wang*, TQL：A Robust Q-Learning based Decision Transformer [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024

Submitted

[4]     T Zhang, X Zhang*, et al. Human-Computer Co-Adaptive Approach Considering the Diversity of Mental States and Neuroplasticity of the Brain [J]. Expert Systems with Applications. 2024

[5]     Y Chen, T Zhang*, D Wang*, Light-weight ensemble Q-network joint implicit constraints for offline reinforcement learning [J] IEEE Transactions on Neural Networks and Learning Systems. 2024

[6]     Y Chen, T Zhang*, Tao Li, D Wang*, EMDSAC-ft: Bridging the Gap in Offline-to-Online Reinforcement Learning through Value Distribution Learning [J] IEEE Transactions on Neural Networks and Learning Systems. 2024

[7]     B Li; C Deng; T Zhang; S Hu. Tool wear prediction in milling CFRP with new fiber orientation based on deep feature transfer learning network [J]. Advances in Manufacturing. 2024

Published

2024

[8]     Zhang X, Zhang T*, Jiang Y, et al. A Novel Brain-Controlled Prosthetic Hand Method Integrating AR-SSVEP Augmentation, Asynchronous Control, and Machine Vision Assistance [J]. Heliyon 2024, 10(5): e26521. (SCI: 001200298700001, IF: 4.0)

[9]     Z Yan, T Zhang*, D Wang*, MSD-YOLO: A Novel Method for Detecting Microscopic Surface Defects in Metal spray-painted thermal mugs [C]. IEEE WRC SARA. 2024

2022

[10]     Zhang T, Zhang X*, Lu Z, et al. Feasibility study of personalized speed adaptation method based on mental state for teleoperated robots[J]. Frontiers in Neuroscience, 2022,16:976437. (SCI: 000883612500001, Top, IF:5.152)

[11]  Zhang T, Zhang X*, Zhu W, et al. Study on the diversity of mental states and neuroplasticity of the brain during human-machine interaction[J]. Frontiers in Neuroscience, 2022,16:921058. (SCI: 000899355900001, Top, IF:5.152)

[12]  Zhang X, Lu Z*, Li H, Zhang T, et al. An Asynchronous Artifact-enhanced EEG-based Control Paradigm Assisted by Slight Facial-expression[J]. Frontiers in Neuroscience, 2022.9.6. (SCI: 000847864800001, Top, IF:5.152)

[13]  Zhang X*, Lu Z*, C Fan*, Y Wang, T Zhang, H Li and Q Tao. Compound Motion Decoding Based on sEMG Consisting of Gestures, Wrist Angles, and Strength[J]. Frontiers in Neurorobotics, 2022.11.10. (SCI: 000889183100001，IF: 3.493)

2021

[14]  张腾, 张小栋, 张英杰, 等. 引入深度强化学习思想的脑-机协作精密操控方法[J]. 西安交通大学学报, 2021,55(02):1-9. (EI: 20210910014525, 封面文章)

[15]  Zhang X, Lu Z*, Zhang T, et al. Realizing the Application of EEG Modeling in BCI Classification: Based on a Conditional GAN Converter[J]. Frontiers in Neuroscience, 2021,15:727394. (SCI: 000725586600001, Top, IF:4.677)

2020

[16]  Jiang Z, Zhang X*, Zhang T, et al. Analysis of Nerve Excitation for TENS under Point Current Source[C]. IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, Xi’an, China, 2020.

[17]  Lu Z, Zhang X*, Li H, Zhang T, et al. A Semi-Asynchronous Real-Time Facial-Expression Assisted Brain Control Method: An Extension[C]. IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, Xi’an, China, 2020.

2019

[18]  Zhang T, Zhang X*, Zhang Y, et al. Effects of user fatigue mental state on the facial-expression paradigm of BCI: 2019 WRC Symposium on Advanced Robotics and Automation (WRC SARA), 2019[C]. IEEE, 21-22 Aug. 2019.

代表专利

授权国家发明专利：

[1]     一种脑-机协作数字孪生强化学习控制方法及系统: 中国发明专利, ZL202010998177.0[P].

[2]     排爆机器人遥操作者典型精神状态的诱发范式设计及脑电辨识方法: 中国发明专利, ZL202011024291.X[P].

[3]     肢体外骨骼辅助康复脑-肌电融合感知的自主学习与进化方法: 中国发明专利, ZL202010954596.4[P].

[4]     一种多抓取模型下腕关节力矩的肌电连续预测方法及系统: 中国发明专利, ZL201911077156.9[P].

[5]     假手指压力与关节角度反馈的电刺激驱动方法与系统: 中国发明专利, ZL201911167807.3[P].

[6]     由弱肌电伪微表情脑电信号驱动的异步实时脑控方法: 中国发明专利, ZL201910087028.6[P].

[7]     一种现实增强的自适应动态多场景诱发脑控方法: 中国发明专利, CN112114662A [P].

申请国家发明专利：

[1]     一种脑状态分期波动的感知方法及装置：中国发明专利.

[2]     一种使人脑和机器脑互适应的调控方法及系统：中国发明专利.

[3]     一种脑机混合智能增强的人机协作方法及系统：中国发明专利.

[4]     一种仿生眼机制的工业品表面缺陷检测方法及装置：中国发明专利.

[5]     一种面向非结构化缺陷环境检测的自调节打光和捕捉图像装置：中国发明专利.

代表竞赛获奖（省部级、国家级）

[1]     “超能勇士-2019”单兵外骨骼系统挑战赛协同控制项目, 中**********部, 2019.10, 亚军. （1/4）

[2]     外骨骼系统西安挑战赛, 中国指挥与控制学会, 2019.9, 亚军. （1/4）

[3]     “HRG 博实杯”第一届中国研究生机器人创新设计大赛, 教育部, 2019.8, 三等奖. （4/5）

所授课程

n  机器人系统结构设计

n  智能机器人技术及系统应用

n  智能机器人技术综合实训