師資
沈新科，南方科技大學(xué)生物醫(yī)學(xué)工程系研究助理教授；2017年本科畢業(yè)于北京航空航天大學(xué)、2023年博士畢業(yè)于清華大學(xué)，并于2023年入職南方科技大學(xué)生物醫(yī)學(xué)工程系博士后，被評(píng)為“校長(zhǎng)卓越博士后”。沈新科博士的研究聚焦于腦機(jī)接口與情感計(jì)算，致力于開發(fā)面向情緒健康監(jiān)測(cè)與調(diào)控的情感腦機(jī)接口系統(tǒng)。沈新科博士在NeuroImage, IEEE Transactions on Affective Computing, Advanced Materials等國(guó)際知名期刊和會(huì)議以第一作者或共同第一作者發(fā)表論文9篇，其中2篇為ESI高被引論文，論文總被引1000余次。主持深圳市優(yōu)秀科技創(chuàng)新人才培養(yǎng)（博士啟動(dòng)）項(xiàng)目1項(xiàng)，核心參與深圳市科技重大專項(xiàng)項(xiàng)目1項(xiàng)。申請(qǐng)4項(xiàng)國(guó)家發(fā)明專利，其中2項(xiàng)已授權(quán)。在世界機(jī)器人大賽BCI腦控機(jī)器人大賽中獲得二等獎(jiǎng)、一等獎(jiǎng)等獎(jiǎng)項(xiàng)。
教育背景
2017.09 – 2023.01 博士，清華大學(xué)，醫(yī)學(xué)院，生物醫(yī)學(xué)工程。導(dǎo)師：宋森
2013.09 – 2017.06 本科，北京航空航天大學(xué)，生物與醫(yī)學(xué)工程學(xué)院，生物醫(yī)學(xué)工程
研究經(jīng)歷
2023.03 ~2025.03 博士后，南方科技大學(xué)，工學(xué)院，生物醫(yī)學(xué)工程。導(dǎo)師：劉泉影
承擔(dān)項(xiàng)目
2024-2026 基于對(duì)比學(xué)習(xí)的情感腦機(jī)接口算法研究（深圳市優(yōu)秀科技創(chuàng)新人才培養(yǎng)項(xiàng)目-博士啟動(dòng)項(xiàng)目，30萬(wàn)元, 主持）
2024-2025 高密度經(jīng)顱電刺激同步腦電采集的閉環(huán)神經(jīng)調(diào)控系統(tǒng)關(guān)鍵技術(shù)研發(fā)（深圳市科技重大專項(xiàng)，200萬(wàn)元，主要成員）
發(fā)表論文
1) Shen, X.#, Tao, L.#, Chen, X., Song, S., Liu, Q.*, & Zhang, D.* (2024). Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience. NeuroImage, 301, 120890.
2) Shen, X.#, Liu, X.#, Hu, X., Zhang, D.*, & Song, S.* (2023). Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition. IEEE Transactions on Affective Computing, 14(3), 2496-2511. (ESI Highly Cited Paper)
3) Shen, X., Liu, T.*, Tao, D., Fan, Y., Zhang, J., Li, S., Jiang, J., Zhu, W., Wang, Y., Wang, Y., Brodaty, H., Sachdev., P. & Wen, W. (2018). Variation in longitudinal trajectories of cortical sulci in normal elderly. NeuroImage, 166, 1-9.
4) Shen, X., Hu, X., Liu, S., Song, S., & Zhang, D.* (2020, July). Exploring EEG microstates for affective computing: decoding valence and arousal experiences during video watching. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 841-846). IEEE.
5) Xue, S.#, Shen, X.#, Zhang, D., Sang, Z., Long, Q., Song, S., & Wu, J. (2025). Unveiling frequency-specific microstate correlates of anxiety and depression symptoms. Brain Topography, 38(1), 12.
6) Tang, J.#, Yuan, F.#, Shen, X.#, Wang, Z., Rao, M., He, Y., Sun, Y., Li, X., Zhang, W., Li, Y., Gao, B., Qian, H., Bi, G., Song, S., Yang, J. J.* & Wu, H.* (2019). Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges. Advanced Materials, 31(49), 1902761. (ESI Highly Cited Paper)
7) Yang, P.#, Shen, X.#, Li, Z., Luo, Z., Lou, K., & Liu, Q. (2023). Perturbing a Neural Network to Infer Effective Connectivity: Evidence from Synthetic EEG Data. IJCAI-workshop, 2023.
8) Liu, J.#, Shen, X.#, Song, S., & Zhang, D.* (2021, May). Domain Adaptation for Cross-Subject Emotion Recognition by Subject Clustering. In 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 904-908). IEEE.
9) 沈新科, 李奕超, 劉錦, 宋森, & 張丹*. (2021). 基于腦電功能連接微狀態(tài)的情緒狀態(tài)解碼. 智能科學(xué)與技術(shù)學(xué)報(bào), 3(1), 49-58.
10) Liu, J., Hu, X., Shen, X., Lv, Z., Song, S., & Zhang, D. (2023). The EEG microstate representation of discrete emotions. International Journal of Psychophysiology, 186, 33-41.
11) Liu, J., Hu, X., Shen, X., Song, S., & Zhang, D. (2023). Electrophysiological Representations of Multivariate Human Emotion Experience. Cognition and Emotion.
12) Chen, J., Wang, X., Huang, C., Hu, X., Shen, X., Zhang, D. (2023). A large finer-grained affective computing EEG dataset[J]. Scientific Data, 2023, 10(1): 740.
13) Ke, L., Zhang, Y., Fu, Y., Shen, X., Zhang, Y., Ma, X., & Di, Q. (2022). Short-term PM2. 5 exposure and cognitive function: association and neurophysiological mechanisms. Environment International, 107593.
專利
1) 王展, 沈新科, 胥瑾, 辛盛海, 樊海寧, 王海久, 周瀛, 任利, 陽(yáng)丹才讓, 馬潔, 王志鑫. 一種基于神經(jīng)網(wǎng)絡(luò)的肝包蟲病灶分割方法及系統(tǒng). 201811548266.4[P]. 2019-04-26. (已授權(quán))
2) 武劍, 宋森, 薛司洋, 沈新科, 桑振華. 微狀態(tài)源定位方法、裝置、電子設(shè)備和存儲(chǔ)介質(zhì). CN202310752490.X[P]. 2023-10-03. (已授權(quán))
3) 李鋮, 沈新科, 黃辰, 張丹. 情緒識(shí)別方法、裝置、芯片、電子設(shè)備及介質(zhì), CN202211175016.7[P]. 2022-09-26. (已受理)
4) 張丹, 郭寶順, 王非, 沈新科, 陳菁菁, 胡鑫.腦電信號(hào)分類方法、裝置、設(shè)備和存儲(chǔ)介質(zhì). 202211182344 .X[P]. 2022-12-23. (已受理)