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更新日期：2024年4月23日 姓 名 吴凯 性 别 男 出生年月 1981年6月 籍贯 江西临川 民 族 汉族 政治面貌 九三学社社员 最后学历 博士研究生 最后学位 医学博士 技术职称 教授 导师类别 博、硕导 行政职务 副主任 Email kaiwu@scut.edu.cn 工作单位 生物医学科学与工程学院 邮政编码 511442 通讯地址 华南理工大学广州国际校区C1b-314 单位电话 个人主页 http://www.scholat.com/wukai 个人简介 吴凯，华南理工大学生物医学科学与工程学院，国家人体组织功能重建工程技术研究中心，教授，博导，工学硕士，医学博士/博士后（日本东北大学），国家重点研发计划首席专家，广东省杰出青年基金获得者。广东省政协委员，广东省科协委员，九三学社社员、广东省委会参政议政专委会委员、华南理工大学基层委委员-参政议政专委会副主任，华南理工大学归国华侨联合会副主席，广东省海外留学青年联谊会常务理事，广州市侨界青年联合会理事。广东省普通高校智慧康复技术与装备重点实验室副主任，广东省老年痴呆诊断与康复工程技术研究中心副主任，广东省精神疾病转化医学工程技术研究中心副主任，广东省智慧健康管理工程技术研究中心副主任。日本东北大学客座教授，日本东北医科药科大学客座研究员，佛山科学技术学院岭南讲座教授，广州医科大学附属脑科医院客座教授，广东省第二人民医院特聘教授。主持国家重点研发计划、国家自然科学基金、广东省杰出青年基金、广东省科技计划重大科技专项、广州市重点领域研发计划、广州市科技计划产学研协同创新重大专项等项目二十多项，参与国家重点研发计划、国家自然科学基金、广东省重点领域研发计划、广州市重点领域研发计划、广东省及广州市科技计划等项目二十多项。发表论文150多篇（Google引用超过2900次，Google-H指数为27，单篇论文最高引用211次，ESI高被引论文1篇）。参加国际学术会议20多次，做口头报告8次；参加国内学术会议70多次，其中邀请报告56次。申请发明专利27项（授权21项），实用新型专利17项（授权14项），软件著作权5项。获得广东省科技进步奖二等奖、中国仪器仪表学会科技进步奖二等奖等科技奖励7项。担任Nature Communication、Schizophrenia Bulletin、eBioMedicine、Human Brain Mapping、Neuroimage、Journal of Psychiatry and Neuroscience、Frontiers in Human Neuroscience、Brain and Language、CNS Neuroscience &Therapeutics等国际期刊及OHBM等国际会议审稿人，《生物医学工程学杂志》、《中国医学物理学杂志》、《临床医学工程》编委。担任国家级人才项目、国家重点研发计划、国家及广东省自然科学基金、广东省重大科技项目、广东省及广州市人才项目、珠海市创新创业团队、珠海市独角兽项目、广东省高企等评审专家，广东省、广州市、深圳市、珠海市、汕头市、梅州市等省市科技计划项目评审专家，广东省药品监督管理局审评认证中心审评专家，广东省企业科技特派员。ORCID：https://orcid.org/0000-0003-4467-1597  Web of Science ResearcherID ：G-1229-2014ResearchGate: https://www.researchgate.net/profile/Kai-Wu-12 工作经历 2004/07 – 至今   华南理工大学，助教、讲师、副教授、教授 教育经历 2008/04 – 2011/03，日本东北大学，医学院，博士；2001/09 – 2004/07，华南理工大学，生物科学与工程学院，硕士；1997/09 – 2001/07，中国农业大学，工学院，学士。 获奖、荣誉称号 1. 2013.02，Research Award of IDAC, Tohoku University;2. 2010.03，Poster Presentation Award, 12th International Symposium of GCOE “Nano-BME”;3. 2016.06，2014-2015学年度华南理工大学本科教学优秀二等奖；4. 2016.10，2015年度华南理工大学学生科技创新优秀指导教师二等奖；5. 2016.12，2015年度《中国生物医学工程学报》刊文最佳引文论著类并列第二名；6. 2017.05，2016年度华南理工大学学生科技创新优秀指导教师三等奖；7. 2018.09，2018年广州市基层科普工作优秀科普工作者；8. 2019.03，2018年广东省生物医学工程学会先进工作者;9. 2019.09，2019年第五届中国互联网+大学生创新创业大赛广东省分赛季军、金奖，指导教师；10. 2019.10，2019年第五届中国互联网+大学生创新创业大赛全国总决赛银奖，指导教师；11. 2020.07，2020年度广东省测量控制与仪器仪表科学技术奖一等奖（排名第一），“老年痴呆早期辅助诊断与康复移动医疗服务平台关键技术研究”（厅局级）；12. 2020.12，2020年度中国仪器仪表学会科技进步奖二等奖（排名第二），“阿尔茨海默病早期预警与诊断系统研发与应用”（省部级）；13. 2021.03，2020年度广东省科学技术奖科技进步奖二等奖（排名第二），“阿尔茨海默病早期预警与诊断系统研发与应用”（省部级）；14. 2021.05，2021年广东省人口文化促进会先进个人荣誉称号；15. 2021.07，2021年度广东省测量控制与仪器仪表科学技术奖特等奖（排名第二），“精神分裂症精准诊断技术与大数据平台研发与示范”（厅局级）；16. 2022.01，2021年第三届广东医学科技奖一等奖（排名第六），“精准静脉麻醉技术的研究与应用”（厅局级）;17. 2022.10，2022年度中国仪器仪表学会科技进步奖二等奖（排名第一），“重性精神疾病精准智能诊疗技术及系统研发与应用”（省部级）;18. 2023.10，2023年度广东省测量控制与仪器仪表科学技术奖特等奖（排名第一），“肢体运动功能障碍康复训练系统研发与应用示范”（厅局级）。 社会、学会及学术兼职 中国工程师联合体国际合作委员会委员中国卫生信息与健康医疗大数据学会-康复产业工作委员会副主任委员中国仪器仪表学会-医疗仪器分会理事中国生物医学工程学会-数字医疗与医疗信息化分会委员中国图象图形学学会-高级会员-医学影像专委会委员中国康复医学会-科技管理与评估委员会常委广东省工程师学会-常务理事兼秘书长广东省测控技术与装备应用促进会-健康医疗仪器与装备专委会主任委员广东省生物医学工程学会-常务理事-青年学术分会主任委员-医学信息工程分会副主任委员兼秘书长广东省精准医学应用学会-医学大数据和人工智能分会副主任委员广东省转化医学学会-健康医疗大数据与人工智能分会副主任委员广东省医疗器械管理学会-医用电气专委会副主任委员智慧医疗产学研创新联盟-副理事长兼秘书长广州市穗港澳高层次人才成果转化促进会-副会长广州市医学会-精神病学分会委员 研究领域 研究方向：脑科学与脑疾病、医学人工智能、智能医疗器械、智能医疗系统等。1. 基于多模态磁共振影像和肠道菌群分析，采用人脑连接组学、微生物组学、机器学习等技术，研究人脑结构及功能网络的拓扑属性和“脑-肠-微生物轴”理论，分析人脑复杂网络及肠道菌群结构在发育及老化过程的变化规律，研究脑重大疾病（老年期痴呆、帕金森症、抑郁症、精神分裂症、双相情感障碍、焦虑症等）对脑结构及功能、肠道菌群的损伤机制以及智能辅助诊断系统。2. 研究智能医疗器械、生物医学信号处理、医学人工智能等技术在慢性病管理、重大疾病预防及康复中的应用，开发了系列可穿戴式健康信息监护设备、基于移动互联网的健康监护系统等产品。 科研项目 主持项目（近五年）：1. 国家重点研发计划-“诊疗装备与生物医用材料 ”重点专项，“柔性穿戴式医疗器械安全有效评价研究与公共服务平台建设”，2023.9-2026.8。2. 国家重点研发计划-“主动健康和老龄化科技应对”重点专项，“肢体运动功能障碍康复训练系统研制及训练模式研究——上下肢综合辅助康复训练系统研制（课题一）”，2020.7-2023.6。3. 国家自然科学基金-面上项目， “双相情感障碍和精神分裂症脑复杂网络异常与肠道菌群失调相关性初探 ”， 2018.1-2021.12。4. 国家自然科学基金-青年基金，“抑郁症共病焦虑障碍的人脑复杂网络特征与认知功能异常研究”，2015.1-2017.12。5. 广东省基础与应用基础研究基金自然科学基金-杰出青年项目，“精神疾病辅助诊断新技术”，2021.1-2024.12。6. 广州市重点领域研发计划-“脑科学与类脑研究”重大科技专项，“中老年人群压力反应多模多维融合模型及新型干预模式研究”，2022.4-2025.3。7. 广州市科技计划-产学研协同创新重大专项， “精神分裂症精准诊断技术研发与临床示范”，2017.5-2020.4。        参与项目（近五年）：1. 国家重点研发计划-“诊疗装备与生物医用材料 ”重点专项，“体外诊断设备移液系统高性能核心元器件研发及产业化集成应用”，2023.9-2026.8。2. 国家重点研发计划-“国家质量基础设施体系 ”重点专项，“高适应性智能化数字 X 射线 3D 在线检测关键部件及系统研制 ”，2023.1-2025.12。3. 国家重点研发计划-“主动健康和老龄化科技应对”重点专项，“养老助残友好智慧健康宜居环境体系构建与应用示范”，2021.7-2023.6。4. 国家重点研发计划-“数字诊疗装备研发”试点专项，“人工智能医学信息系统软件测试审评方法研究及其数据库开发”，2019.7-2021.12。5. 国家自然科学基金-面上项目，“聚焦磁声耦合调控EGR3基因转染精神分裂大鼠神经环路的多模态磁共振影像研究”，2023.01-2026.12。6. 国家自然科学基金-面上项目，“基于机器学习的青少年抑郁症自杀风险识别模型构建及干预研究”，2022.01-2025.12。7. 国家自然科学基金-青年基金，“语音训练对腭裂代偿性构音障碍的异常神经网络重塑脑成像研究”，2019.1-2021.12。8. 广东省重点领域研发计划-脑科学与类脑科学研究，“孤独症早期诊断及干预技术研究”，2023.12-2026.11。9. 广东省重点领域研发计划-脑科学与类脑科学研究，“神经认知老化发展模式及机制、早期预警与干预研究”，2023.12-2026.11。10. 广东省重点领域研发计划-新一代通信与网络-5G+智慧医疗,“基于5G网络的智慧医疗和应急救援关键技术研究”,2020.9-2022.8。11. 广东省重点领域研发计划-重点科技产业质量基础共性技术研究及应用,“典型免疫和分子诊断计量技术、仪器研究及产业公共服务平台建设”,2020.6-2023.5。12. 广东省重点领域研发计划-脑科学与类脑科学研究，“自闭症诊疗方法研究”，2019.1-2021.12。13. 广东省教育厅重点实验室，“广东省普通高校智慧康复技术与装备重点实验室”，2021.1-2023.12。14. 广州市重点领域研发计划-“健康医疗” 重大科技专项，“基于环境光学及应用光学的近视筛查防控 关键技术体系研发及应用示范 ”，2022.4-2025.3。15. 广州市重点领域研发计划-农业和社会发展科技专题，“基于穿戴式脑电大数据AI分析的睡眠障碍智能诊疗平台研发及示范应用”，2022.4-2025.3。16. 广州市重点领域研发计划-农业和社会发展科技专题，“儿童青少年双相情感障碍早期智能诊断技术及综合干预模式研究”，2022.4-2025.3。17. 广州市重点领域研发计划-农业和社会发展科技专题，“基于脑电AI分析的便携式抑郁症智能诊断设备研发及临床应用研究 ”，2021.1-2023.12。18. 广州市科技计划-产学研协同创新重大专项，“基于多模态MR的肝硬化结节早期癌变人工智能辅助分析系统”，2019.4-2021.12。19. 广州市科技计划-对外科技合作专题，“精神分裂症精准医学大数据研究平台的研究与临床应用”，2018.4-2020.12。20. 广州市科技计划-产学研协同创新重大专项，“适用于救护车的移动式智能医用高压氧供系统研制及测试技术研究”，2018.4-2020.12。 发表论文 Refereed Journal Article: (First author △, Corresponding author*)(1) Wu K*, Taki Y, Sato K, Sassa Y, Inoue K, Goto R, Okada K, Kawashima R, He Y, Evans AC, Fukuda H. Overlapping community structure of structural brain network in young healthy individuals. PLoS ONE, 2011, 6(5): e19608.(2011IF: 4.092; Q1/ Cited: 75) (2) Wu K*, Taki Y, Sato K, Kinomura S, Goto R, Okada K, Kawashima R, He Y, Evans AC, Fukuda H. Age-related changes in topological organization of structural brain networks in healthy individuals. Human Brain Mapping, 2012, 33(3): 552-568.(2012IF: 6.878; Q1/ Cited: 178) (3) Wu K*, Taki Y, Sato K, Kinomura S, Hashizume H, Sassa Yuko, Takeuchi H, Kawashima R, Fukuda H. Topological organization of functional brain networks in healthy children: Differences in relation to age, sex, and intelligence. PLoS ONE, 2013, 8(2): e55347.(2013IF: 3.534; Q1/ Cited: 147)(4) Wu K*, Taki Y, Sato K, Qi HC, Kawashima R, Fukuda H. A longitudinal study of structural brain network changes with normal aging. Frontiers in Human Neuroscience, 2013, 7:113.(2013IF: 2.895; Q2/ Cited: 73) (5) Peng HJ *, Wu K*, Li J, Qi HC, Guo SW, Chi MY, Wu XM, Guo YB, Yang YL, Ning YP. Increased suicide attempts in young depressed patients with abnormal temporal-parietal-limbic gray matter volume. Journal of Affective Disorders, 2014, 165: 69-73.(2014IF: 3.383; Q2/ Cited: 64) (6) Qi HC△, Ning YP△, Li J, Guo SW, Chi MY, Gao MJ, Guo YB, Yang YL，Peng HJ*, Wu K*. Gray matter volume abnormalities in depressive patients with and without anxiety disorders. Medicine, 2014, 93(29):e345.(2014IF: 5.723; Q1/ Cited: 32) (7) Minyue Chi, Shengwen Guo, Yuping Ning, Jie Li, Haochen Qi, Minjian Gao, Jiexin Wang, Xiaowei Hu, Yangbo Guo, Yuling Yang, Hongjun Peng *, Kai Wu*. Using support vector machine to identify imaging biomarkers of major depressive disorder and anxious depression. Bio-Inspried Computing - Theories and Applications, Communication in Computer and Information Science, 2014, 472: 63-67.(EI/ Cited: 11)(8) Minyue Chi, Shengwen Guo, Yuping Ning, Jie Li, Haochen Qi, Minjian Gao, Xiuyong Wu, Junwei Xue, Xin Du, Jiexin Wang, Xiaowei Hu, Yangbo Guo, Yuling Yang, Hongjun Peng *, and Kai Wu*. Discriminative Analysis of Major Depressive Disorder and Anxious Depression Using Support Vector Machine. Journal of Computational and Theoretical Nanoscience,2015, 12(7), 1395-1401.(2015IF:1.666; Q2/ Cited: 6)(9) Xiaobing Lu△, Yongzhe Yang△, Fengchun Wu, Minjian Gao, Yong Xu, Yue Zhang, Yongcheng Yao, Xin Du, Chengwei Li, Lei Wu, Xiaomei Zhong, Yanling Zhou, Ni Fan, Yingjun Zheng, Dongsheng Xiong, Hongjun Peng, Javier Escudero, Biao Huang, Xiaobo Li, Yuping Ning*, Kai Wu*. Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images. Medicine, 2016, 95:30(e3973).(2016IF:2.028; Q2/ Cited: 72) (10) Wanqun Yang△, Bin Liu△, Biao Huang*, Ruiwang Huang, Lijuan Wang, Yuhu Zhang, Xiong Zhang, Kai Wu*. Altered resting-state functional connectivity of the striatum in Parkinson's disease after levodopa administration. PLoS ONE, 2016,11(9): e0161935. (2016IF: 2.766; Q1/ Cited: 26) (11) Peng Xie△, Kai Wu△, Yingjun Zheng, Yangbo Guo, Yuling Yang, Jianfei He, Yi Ding, Hongjun Peng*. Prevalence of childhood trauma and correlations between childhood trauma, suicidal ideation, and social support in patients with depression, bipolar disorder, and schizophrenia in southern China. Journal of Affective Disorders,2018(228):41-48. (2018IF: 4.084; Q1/ Cited: 138) (12) Wu F△, Zhang Y△, Yang Y, Lu X, Fang Z, Huang J, Kong L, Chen J, Ning Y*, Li X, Wu K*. Structural and functional brain abnormalities in drug-naive,  first-episode, and chronic patients with schizophrenia: a multimodal MRI study. Neuropsychiatric Disease and Treatment, 2018(14):2889–2904.(2018IF: 2.228; Q3/ Cited:23)(13) Xiaobo Li*,Kai Wu*, Yue Zhang, Lingyin Kong, Lynn E. DeLisi. Altered Topological Characteristics of Morphological Brain Network Relate to Language Impairment in Genetic High-risk Subjects and Schizophrenia Patients. Schizophrenia Research, 2019(208):338–343.(2019IF: 3.759; Q2/ Cited:12) (14) Jing Wang, Hongjun Peng, Yue Zhang, Kai Wu*. Discriminative Analysis of Depression Patients Studied with Structural MR Images Using Support Vector Machine and Recursive Feature Elimination. Sensing and Imaging, 2019(20): 21.(EI) (15) Ziyan Wu, Yuyang Luo, Yu Gao, Ying Han, Kai Wu*, Xiaobo Li*. The Role of Frontal and Occipital Cortices in Processing Sustained Visual Attention in Young Adults with Attention-Deficit/Hyperactivity Disorder: A Functional Near-Infrared Spectroscopy Study. Neuroscience Bulletin, 2020, 36(6):659–663.(2020IF: 5.203; Q2)(16) Shijia Li, Min Zhuo, Xia Huang, Yuanyuan Huang, Jing Zhou, Dongsheng Xiong, Jiahui Jia, Ya Liu, Zhilin Pan, Hehua Li, Jun Chen, Xiaobo Li, Zhiming Xiang, Fengchun Wu*, Kai Wu*. Altered gut microbiota associated with symptom severity in Schizophrenia. PeerJ, 2020(8):e9574.(2020IF: 2.984; Q2/ Cited:45)(17) Yuanyuan Huang△, Kai Wu△, Hehua Li, Jing Zhou, Dongsheng Xiong, Xia Huang, Jiahui Li, Ya Liu, Zhilin Pan, David T Mitchell, Fengchun Wu*, Xiang Yang Zhang*. Homocysteine level, body mass index and clinical correlates in Chinese Han patients with schizophrenia. Scientific Reports, 2020,10:16119. (2020IF: 4.379; Q1/ Cited:13)(18) Bingye Lei, Fengchun Wu, Jing Zhou, Dongsheng Xiong, Kaixi Wang, Lingyin Kong, Pengfei Ke, Jun Chen, Yuping Ning, Xiaobo Li, Zhiming Xiang, Kai Wu*. NEURO-LEARN: A Solution for Collaborative Pattern Analysis of Neuroimaging Data. Neuroinformatics, 2021(19):79-91. 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Nano-Biomedical Engineering 2009,Proceedings of the Tohoku University Global Centre of Excellence Programme, 207-212. Imperial College Press.2009, 3. (available by: http://books.google.com/)2. Kai Wu, Hiroshi Fukuda. Graph theoretical analysis of human structural brain networks. Nano-Biomedical Engineering 2012, Proceedings of the Tohoku University Global Centre of Excellence Programme, 325-330. Imperial College Press. 2012, 3.3. Hiroshi Fukuda, Yasuyuki Taki, Kai Wu, Kazunori Sato, Ryoi Goto, Kentaro Inoue, Ken Okada, Ryuta Kawashima. Development and aging of the human brain studied with brain magnetic resonance image. Nano-Biomedical Engineering 2012, Proceedings of the Tohoku University Global Centre of Excellence Programme, 179-190. Imperial College Press. 2012, 3.4. Kai Wu. Understanding medical images based on computational anatomy models (Chapter 3, 151-285).In: Hidefumi Kobatake, Yoshitaka Masutani. Computational anatomy based on whole body imaging (Basic principles of computer-assisted diagnosis and therapy. Springer, 2017. (ISBN 978-4-431-55974-0)中文教材：1. 余学飞,叶继伦(主编),张宁,吴凯,卢广文(副主编). 现代医学电子仪器原理与设计(第四版，普通高等教育“十一五”国家级规划教材).华南理工大学出版社,2018. 科研创新 已授权发明专利：(1) ZL200510036528.5，蓝牙无线心功能参数监护系统及其应用 ，发明专利，20071103；(2) ZL201410746483.X，基于可穿戴装置的心电检测装置，发明专利，20161005；(3) ZL201410746929.9，基于可穿戴装置的脑电检测装置，发明专利，20170111；(4) ZL201410747825.X，基于可穿戴装置的血氧饱和度检测装置，发明专利，20170125；(5) ZL201410810342.X，基于移动互联网的老年痴呆症监护系统， 发明专利，20170125；(6) ZL201410811322.4，基于移动互联网的孕产妇健康监护系统，发明专利，20170620；(7) ZL201510523860.8，一种可实现血氧饱和度检测的健康服务机器人，发明专利，20171020；(8) ZL201510523162.8 ，一种可实现脑电检测的健康服务机器人，发明专利，20180227；(9) ZL201510524087.7 ，一种基于多功能智能电子药箱的健康服务机器人，发明专利，20180413；(10) ZL201510523110.0，基于健康服务机器人的老年痴呆症监护系统，发明专利，20180720；(11) ZL201510523148.8， 一种可实现心电检测的健康服务机器人，发明专利，20181102；(12) ZL201510523139.9，基于健康服务机器人的老年人健康服务系统，发明专利，20181102；(13) ZL201610308820.6，面向大学生的精神压力评估及高危人群干预系统，发明专利，20190118；(14) ZL201610308819.3，基于可穿戴式NIRS-EEG的精神分裂症早期检测评估系统，发明专利，20190301；(15)  ZL202010765570.5， 精神分裂症高风险人群自主神经功能数据处理方法及装置，发明专利，20200803；(16)  ZL202310368422.3，一种便携式多信息融合分析及干预评估系统及其方法，发明专利，20230525；(17)  ZL202310464895.3，一种多模态视觉神经功能检测方法及其系统，发明专利，20230619；(18)  ZL202310572181.4,  一种心脑耦合分析评估方法及其系统，发明专利，20230628；(19)  ZL202310572924.8,  一种多参数耦合的应激水平评估方法及其系统，发明专利，20230628；(20)  ZL202310464893.4,  一种基于多模态耦合分析的运动功能评估方法及其系统，发明专利，20230714；(21) ZL201811171724.7，基于虚拟现实技术与生理参数检测的精神类疾病辅助诊断系统，发明专利，20211007。已授权实用新型专利：(1) 201420763376.3，基于可穿戴装置的脑电检测装置，实用新型，20150603；(2) 201420768815.X，基于可穿戴装置的血氧饱和度检测装置，实用新型，20150701；(3) 201420769116.7，基于可穿戴装置的心电检测装置，实用新型，20150701；(4) 201420826566.5，基于移动互联网的孕产妇健康监护系统 ，实用新型，20150729；(5) 201420826140.X，基于移动互联网的老年痴呆症监护系统， 实用新型，20150729；(6) 201520641334.7，一种基于多功能智能电子药箱的健康服务机器人，实用新型，20160106；(7) 201520641219.X，一种可实现脑电检测的健康服务机器人，实用新型，20160120；(8) 201520641216.6，一种可实现心电检测的健康服务机器人，实用新型，20160120；(9) 201520641413.8，一种可实现血氧饱和度检测的健康服务机器人，实用新型，20160120；(10) 201520642292.9，基于健康服务机器人的老年痴呆症监护系统，实用新型，20160120；(11) 201520642305.2，基于健康服务机器人的老年人健康服务系统，实用新型，20160120；(12) 201620423121.1，基于NIRS的穿戴式脑功能检测装置，实用新型，20170118；(13) 201620422907.1，基于NIRS-EEG的穿戴式多模态脑功能检测装置，实用新型，20170222；(14) 201821421318.7，生物反馈式意识障碍检测及唤醒系统，实用新型，20190716。已授权软件著作权：(1) 2014SR123378，乐指健康管理系统，20140819； (2) 2019SR0082694，脑动力系统，20181010；(3) 2019SR0082706，精神疾病人工智能辅助诊断系统，20181020；(4) 2020SR1264382，神经心理在线测评系统，20201208；(5) 2023SR0978258，上下肢综合辅助康复训练系统，20230510。 已申请公开专利：(1) 201610308877.6，基于NIRS的穿戴式脑功能检测装置，发明专利，20160510；(2) 201610308876.1，基于NIRS-EEG的穿戴式多模态脑功能检测装置，发明专利，20160510；(3) 201811010291.7，生物反馈式意识障碍检测及唤醒系统，发明专利，20180831；(4) 201910271749.2，精神分裂症医学数据处理方法、装置、系统、服务器及介质，发明专利，20190404；(5) 202010822614.3，基于多维度数据的计算机辅助决策方法、装置、系统及服务器，发明专利，20200817；(6) 202011106789.0，一种心理测评数据处理方法、装置、系统及服务器，发明专利，20201016；(7) 201620423039.9，基于可穿戴式NIRS-EEG的精神分裂症早期检测评估系统，实用新型；(8) 201620423040.1，面向大学生的精神压力评估及高危人群干预系统，实用新型；(9) 201821646587.3，基于虚拟现实技术与生理参数检测的精神类疾病辅助诊断系统，实用新型，20181009。 教学活动 主讲或参与讲授本科课程：《医学仪器设计》、《医学图像处理》、《计算神经科学》、《医院信息系统》、《远程医学》、《脑科学前沿导论》、《生物医学工程解析》、《生物医学工程导论》、《生物医学工程与人类健康》、《生物医学工程探索与设计》、《生物医学工程创新与创业》主讲或参与讲授硕士课程：《计算神经科学》、《生物医学传感器》 指导学生情况 1. 戚昊成, 池敏越, 冯晓明, 陈愿君. 2014年阳普杯生物医疗与健康产业创新创业大赛特等奖, 201312.2. 戚昊成. 2014年研究生国家奖学金, 201410.3. 杜欣, 黄义成, 万宇欣, 冀余蓉, 张忆茹, 孙嵩岚. 2015年阳普杯生物医疗与健康产业创新创业大赛三等奖, 210505.4. 杜欣. 第五届全国可穿戴式计算学术会议优秀论文三等奖, 201505.5. 杜欣. 优秀硕士新生入学奖, 201509.6. 杜欣, 李承炜. 第四届赢在广州大学生创业比赛优胜奖, 201509.7. 杜欣, 冀余蓉等. 首届中国互联网+大学生创新创业大赛华南理工大学一等奖, 201509.8. 杜欣. 2016年共青团中央中国光华科技基金会医学奖学金, 201605.9. 万宇欣, 张忆茹, 冀余蓉等. 2016年国家级大学生创新创业训练计划优秀项目（二项之一）, 201606.10. 李承炜, 杜欣, 王凯曦. 2016年全国大学生生物医学工程创新设计竞赛三等奖, 201610.11. 张越. 2017年广东省生物医学工程学会首届青年学术论坛二等奖, 201705.12. 张越. 第六届磁共振分子影像研究与应用高层论坛, 优秀论文奖, 201710.13. 张越. 第六届磁共振分子影像研究与应用高层论坛, 优秀青年学者奖, 201710.14. 杜欣. 2017年研究生国家奖学金, 201711.15. 李承炜. 2017年PPG奖学金, 201711.16. 张越. 2017年温氏筠诚奖学金, 201711.17. 崔越等.第五届中国互联网+大学生创新创业大赛华南理工大学金奖，201906.18. 崔越等.第五届中国互联网+大学生创新创业大赛广东省分赛季军、金奖，201908.19. 崔越等.第五届中国互联网+大学生创新创业大赛全国总决赛银奖，201910.20. 柯鹏飞. 2019年广东省生物医学工程学会第三届青年学术论坛最佳口头报告奖, 201910.21. 柯鹏飞. 2019年广东省生物医学工程学会青年优秀论文竞赛一等奖, 201910.22. 刘亚.2019年广东省生物医学工程学会第三届学术青年论坛最佳墙报展示奖,201910.23. 刘亚.2019年广东省生物医学工程学会青年优秀论文竞赛三等奖,201910.24. 李嘉慧. 2019年广东省生物医学工程学会第三届青年学术论坛最佳墙报展示奖, 201910.25. 李嘉慧. 2019年广东省生物医学工程学会青年优秀论文竞赛三等奖, 201910.26. 柯鹏飞.2020年中华医学会第十八次全国精神医学大会暨第十四次全国儿童青少年精神医学大会优秀壁报, 202009.27. 黄家源.2022年中国生物医学工程学会青年优秀论文奖，202204.28. 吴晓彤, 张然轩, 王梓涵.2022年第一届广东省大学生生物医学工程创新设计竞赛三等奖，202207.29. 周珈仪, 林鸿杰, 梁劭翀.2023年第二届广东省大学生生物医学工程创新设计竞赛三等奖，202305.30. 蒋雨晴, 商    芸, 卢雅雯.2023年第二届广东省大学生生物医学工程创新设计竞赛三等奖，202305.31. 蒋知乐, 陈文睿, 汪煜新.2023年第八届全国大学生生物医学工程创新设计竞赛二等奖，202307.32. 周钰斌, 陈鹏天, 张皓泉.2023年第八届全国大学生生物医学工程创新设计竞赛三等奖，202307.33. 蒋雨晴, 商    芸, 卢雅雯.2023年第八届全国大学生生物医学工程创新设计竞赛三等奖，202307.34. 梁丽琴.2023年广东省研究生学术论坛生物医学工程分论坛优秀报告奖，202308. 我的团队 教   授：吴效明副教授：熊冬生讲   师：周   静科研助理：李    露、郭旻昕研究生：戚昊辰、陈愿君（2012级）杜   欣、李承炜、杨勇哲（2015级）张   越、王凯熙（2016级）李嘉慧、刘   亚、王   鹏（2017级）雷炳业、孔令茵、潘智林（2018级）肖慧思、柯鹏飞（2019级）陈小怡、黄家源、王   冲、陈泽斌（2020级）梁丽琴（2021级硕-2022级博）李文豪（2021级硕-2024级博）李   懿、彭润霖、韩   睿（2021级硕）高晨洋、廖建灏、王海源、王昱然、李嘉欣（2022级硕）李兆波、刁云恒、王   玮（2023级博）朱宝圆、张   恒、彭   颖、李富超（2023级硕）周珈仪、吴学成、陈书豪、陈冠初（2024级硕）毕业生工作单位（部分）：戚昊辰，北京化工大学（2015）；陈愿君，GE药业（2015）；杜   欣，广州金控资产管理有限公司（2018）；李承炜，华为终端有限公司（2018）；杨勇哲，国家知识产权局专利局专利审查协作广东中心（2018）；张   越，迈瑞医疗（2019）；李嘉慧，国家知识产权局专利局专利审查协作广东中心（2020）；刘   亚，迈瑞医疗（2020）；柯鹏飞，阿里巴巴（2022）；黄家源，上海联影（2023）；陈小怡，阿里巴巴（2023）。