崔健，男，汉族，哲学博士，之江实验室副研究员，哈尔滨工业大学（深圳）副教授，浙江省海外高层次人才、杭州市 C 类人才，浙江大学生物医学工程与仪器学院兼任教师，硕导。主要研究脑电（眼动）信号解码、心/脑磁设备研发及降噪算法、多模态数据融合、机器学习等领域。发表论文30余篇（谷歌学术引用1109，H 指数17），包括IEEE TNNLS、ESWA、JBHI 等，授权发明专利15项。个人邮箱：cuijian@hit.edu.cn

一、近期主要论文

[1]Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals, Z. Xing, H. Li, H. Dou, Z. Zhong, J. Dai, C. Wang, J. Cui*, X. Zhang, T. Jiang, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025, Accepted. (CCF B，通讯)

[2]Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition，L. Yuan, J Cui*, R. Li*, Z. Zheng*, MY Siyal, Z Yi，Engineering Applications of Artificial Intelligence (EAAI) 137, 109153，2024(中科院一区 TOP，通讯, IF=8.0)

[3]A benchmarking framework for eye-tracking-based vigilance prediction of vessel traffic controllers，Z. Li, R. Li, L. Yuan, J. Cui*, F. Li*，Engineering Applications of Artificial Intelligence (EAAI) 129, 107660, 2024(中科院一区 TOP，通讯, IF=8.0)

[4]SPARK: A High-Efficiency Black-Box Domain Adaptation Framework for Source Privacy-Preserving Drowsiness Detection，L. Yuan, R. Li*, J. Cui*, MY Siyal，IEEE Journal of Biomedical and Health Informatics (JBHI), 2024 (中科院二区 TOP，通讯, IF=6.7)

[5]EEG-based Cross-dataset Driver Drowsiness Recognition with an Entropy Optimization Network，L. Yuan, S. Zhang, R. Li*, Z. Zheng*, J. Cui*, M. Y.Siyal， IEEE Journal of Biomedical and Health Informatics (JBHI), 2024(中科院二区 TOP，通讯, IF=6.7)

[6]A spectral-ensemble deep random vector functional link network for passive brain–computer interface, R. Li, R. Gao, P. N. Suganthan, J. Cui*, O. Sourina, L. Wang, et al. Expert Systems with Applications (ESWA) 227, 120279, 2023 (中科院一区 TOP，通讯, IF=7.5)

[7]Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces. J. Cui, L. Yuan, Z. Wang*, R. Li, & T. Jiang, (2023).Frontiers in Computational Neuroscience, 17. (中科院四区，一作, IF=2.3)

[8]R. Li, M. Hu, J. Cui*, L. Wang and O. Sourina, Ensemble of randomized neural network and boosted trees for eye-tracking-based driver situation awareness recognition and interpretation, ICONIP 2023 (CCF C，通讯)

[9]J Cui, L Yuan, R Li, Z Wang, D Yang, T Jiang，Benchmarking EEG-based Cross-dataset Driver Drowsiness Recognition with Deep Transfer Learning,EMBC 2023 (一作)

[10]J. Cui, Z. Lan, O. Sourina and W. Müller-Wittig, EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network, in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 (中科院一区 Top, 一作，IF=8.9)

[11]J. Cui, Z. Lan, Y. Liu, R. Li, F. Li, O. Sourina, W. Müller-Wittig, A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG, Methods, 2022 (中科院三区,一作，IF=4.3)

[12]J. Cui, & A. Sourin, Mid-air interaction with optical tracking for 3D modeling. Computers & Graphics, 74, 1-11, 2018 (中科院三区,一作，IF=2.8)

[13]J. Cui, Q. Pan, Q. Qian, M. He, & Q. Sun, A multi-agent dynamic model based on different kinds of bequests. Physica A: Statistical Mechanics and its Applications, 392(6), 1393-1397, 2013 (中科院二区,一作，IF=3.1)

[14]J Cui, A Sourin, Interactive shape modeling using leap motion controller,SIGGRAPH Asia 2017 Technical Briefs, 2017 (CCF A, 一作)

[15]J. Cui, A. Kuijper, D. W. Fellner & A. Sourin, Understanding people's mental models of mid-air interaction for virtual assembly and shape modeling. In Proceedings of the 29th international conference on computer animation and social agents (CASA) (pp. 139-146), 2016 (CCF C, 一作)

二、近期主持/参与项目

[1]国家自然科学基金委员会, 国家重大科研仪器研制项目（2024）,基于量子隧穿效应的室温无液氦便携式脑磁装置研制,711万，在研，参与

[2]之江实验室,自设青年基金项目（2023）,脑认知启发的人工智能研究,20万，在研，主持

[3]新加坡大众捷运公司（Singapore SMRT）,横向科研项目（2019），用于工程列车调车的虚拟现实(VR)培训模拟器（Virtual Reality (VR) Training Simulator for Shunting of Engineering Trains (VR-TSST)）,150万，结题，参与

[4]新加坡民航局（Civil Aviation Authority of Singapore）, 横向科研项目（2019）,基于脑电图的空中交通管制运营商 (ATCO) 的人为因素评估以优化培训（EEG-based Human Factors Evaluation of Air Traffic Control Operators (ATCOs) for Optimal Training）, 50万，结题，参与

[5]新加坡海事学院（Singapore Maritime Academy）, 横向科研项目（2019）,用于海上液化天然气消防培训的虚拟现实模拟系统（VR-based Liquefied Natural Gas (LNG) firefighting simulation system）,25万元，结题，参与

[6]新加坡海事与港务管理局（Maritime and Port Authority of Singapore）,横向科研项目（2018）,海事风险管理中的人为因素（ Human factors in maritime riskmanagement）,100万,结题，参与

三、专利情况

[1]崔健、薛云龙、张莎莎、王兆祥、郑重、蒋田仔，基于异构图网络的 EEG-fNIRS 运动想象识别方法和装置，2024.7.26，ZJ-2023-1-000653-CN-02

[2]崔健、张莎莎、郑重、薛云龙、王兆祥、张军阳，基于动态功能脑网络的大脑视听融合机制探索方法和装置，2024.7.2，ZJ-2024-1-000839-CN-02

[3]张莎莎、崔健、郑重、薛云龙、张瑜、王兆祥、张军阳、蒋田仔，一种视听刺激下的大脑编码方法、装置及介质，2024.8.23，ZJ-2024-1-000875-CN-02

[4]袁月、王兆祥、崔健、张军阳、张瑜、蒋田仔，一种癫痫患者单通道脑电信号的实时检测系统，2024.6.4，ZJ-2023-1-333734-CN-02

[5]郑重、王辰、崔健、张瑜、王兆祥、张军阳、蒋田仔，心磁信号和心冲击信号采集系统、方法和存储介质，2024.08.13，CN118177812B

[6]王兆祥、李姗、张军阳、崔健、张瑜、蒋田仔，基于神经电信号的癫痫样棘波处理方法和装置，2024.03.12，CN117033988B

[7]郑重、薛云龙、袁立强、崔健、张莎莎、王兆祥、张军阳、张瑜、蒋田仔，基于熵优化神经网络的跨库脑电疲劳识别方法和系统，2024.7.2，ZJ-2024-1-000901-CN-02

[8]郑重、薛云龙、袁立强、崔健、张莎莎、王兆祥、张军阳、张瑜、蒋田仔，基于EGRF模型的跨库脑电疲劳识别方法及装置，2024.7.30，ZJ-2024-1-000890-CN-02