n  个人介绍：

孙艺珂，助理教授，1999 年出生于四川省成都市，2020 年本科毕业于东北大学计算机科学与工程学院，2025 年博士毕业于清华大学生物医学工程学院。入选人社部博新计划、中国科协青年人才托举博士生专项。担任Innovation、Measurement、JNE、IEEE TBioCAS等国际高水平期刊审稿人；荣获英国皇家物理学会Trusted Reviewer认证；担任Neuroelectronics青年编委；入选脑机接口产业联盟“青百荟”百人青年专家名单。

 

n  主要方向：

1.   微创双向调控脑机接口系统

2.   柔性侧脑室脑机接口系统

3.   新型稳态视觉诱发电位技术

 

n  教育经历：

2020.09-2025.10  清华大学 生物医学工程学院 博士

2016.09-2020.07  东北大学 计算机科学与工程学院 学士

 

n  研究介绍：

研究团队主要研究方向为无创/微创脑机接口系统。高度交叉融合，汇聚电子、计算机、神经科学、材料学等多学科背景，多项成果获得国内一级学会奖励，与国内多家顶级医院与科研院所保持合作关系。脑机接口是当前学术界与产业界共同聚焦的前沿蓝海，蕴藏着推动人机融合与智能医学革命的巨大潜力。我们诚邀对脑机交互、智能医疗与神经工程感兴趣的同学加入，无论你来自何种学科背景，怀揣怎样的未来规划，这里都将为你提供跨领域协作的科研平台、前沿的课题资源与广阔的成长空间。让我们一起探索人类与机器智能深度融合的未来图景。

 

n  代表论文：

Sun, Y, Gao, Y, Wang, K, Sun, J, Chen, Y, Huang, C, Li, X, Yang, Y, Zhao, T, Zhu, H, Liu, R, Chen, X, Lu, B, & Gao, X (2026). Lateral Ventricular Brain-Computer Interface System with Lantern-Inspired Electrode for Stable Performance and Memory-Guided Decoding. National Science Review. (Q1, IF(2-YEAR) = 17.1)

Sun, Y, Gao, Y, Shen, A, Sun, J, Chen, X, & Gao, X (2025). Creating ionic current pathways: A non-implantation approach to achieving cortical electrical signals for brain-computer interface. Biosensors and Bioelectronics, 268, 116882. (Q1, IF(2-YEAR) = 10.5)

Sun, Y#, Chen, X#, Liu, B, Liang, L, Wang, Y, Gao, S, & Gao, X* (2025). Signal acquisition of brain-computer interfaces: a medical-engineering crossover perspective review. Fundamental Research. (Q1, IF(2-YEAR) = 6.3)

Sun, Y, Chen, X, Wang, Y, Li, Y, Zhang, Y, Wu, Q, Gao, S, & Gao, X* (2025). Connecting Minds and Devices: A Fifty-Year Review of Brain-Computer Interfaces. Chinese Journal of Electronics. (Q2, IF(2-YEAR) = 3)

Sun, Y., Zhang, Z., Qi, Q., Li, X., Sun, J., Zhang, K., Zhuang, J., Chen, X., & Gao, X. (2025). Beyond Frequency: Leveraging Spatial Features in SSVEP-Based Brain-Computer Interfaces with Visual Animations. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Sun, Y, Li, Y, Chen, Y, Yang, C, Sun, J, Liang, L, Chen, X, & Gao, X (2024). Efficient dual-frequency SSVEP brain-computer interface system exploiting interocular visual resource disparities. Expert Systems with Applications, 252, 124144. (Q1, IF(2-YEAR) = 7.5)

Sun, Y#, Sun, J#, Chen, X, Wang, Y, & Gao, X* (2024). EEG signatures of cognitive decline after mild SARS-CoV-2 infection: an age-dependent study. BMC Medicine, 22(1), 257. (Q1, IF(2-YEAR) = 7.1)

Sun, Y#, Liang, L#, Li, Y#, Chen, X, & Gao, X (2024). Dual-Alpha: a large EEG study for dual-frequency SSVEP brain–computer interface. GigaScience, 13, giae041. (Q1, IF(2-YEAR) = 11.8)

Sun, J#, Xie, Z#, Sun, Y#, Shen, A, Li, R, Yuan, X, Xiao, Y, Lu, B, & Li, Y (2024). Precise prediction of cerebrospinal fluid amyloid beta protein for early Alzheimer’s disease detection using multimodal data. MedComm, 5(5), e532. (Q1, IF(2-YEAR) = 10.7)

Sun, Y, Chen, X, & Gao, X* (2024). The potential of diverse brain–computer interface signal acquisition techniques in neurorestoratology. Journal of Neurorestoratology, 12(3). (Q2, IF(2-YEAR) = 3.1)

Sun, Y, Shen, A, Du, C, Sun, J, Chen, X, & Gao, X* (2023). A Real-Time Non-Implantation Bi-Directional Brain-Computer Interface Solution without Stimulation Artifacts. IEEE Transactions on Neural Systems and Rehabilitation Engineering. (Q1, IF(2-YEAR) = 4.9)

Sun, Y, Shen, A, Sun, J, Du, C, Chen, X, Wang, Y, Pei, W, Chen, X, & Gao, X* (2022). Minimally invasive local-skull electrophysiological modification with piezoelectric drill. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2042-2051. (Q1, IF(2-YEAR) = 4.528)

Sun, Y, Liang, L, Sun, J, Chen, X, Tian, R, Chen, Y, Zhang, L, & Gao, X* (2022). A binocular vision ssvep brain–computer interface paradigm for dual-frequency modulation. IEEE Transactions on Biomedical Engineering, 70(4), 1172-1181. (Q2, IF(2-YEAR) = 4.756)