电子信息学院

个人资料

直属机构：教师主页校级站点
联系电话：
性别：男
电子邮箱：hunan@suda.edu.cn
专业技术职务：
办公地址：本部电子楼335
毕业院校：中国科学技术大学
通讯地址：
学位：工学博士
邮编：
学历：博士研究生
传真：

教育经历

教育经历：

博士研究生（硕博连读）, 2008.09-2013.06, 电子工程与信息科学系, 中国科学技术大学, 信号与信息处理, 工学博士
大学本科, 2004.09-2008.06, 电子工程与信息科学系, 中国科学技术大学, 电子信息工程, 工学学士

工作经历

工作经历：

2017.07-至今, 苏州大学电子信息学院, 教学科研岗, 副教授
2014.03-2017.06, 苏州大学电子信息学院, 教学科研岗, 讲师（高聘副教授）
2013.06-2014.02, 中国电子科技集团公司第十四研究所, 一部, 工程师

个人简介

个人简介：

社会职务

社会职务：

现任电子信息学院电子信息工程党支部书记

研究领域

研究领域：

1、生物医学信号处理与人工智能（AI）：包括脑电（EEG）信号处理、脑机接口、电子听诊器心肺音信号处理以及心肺疾病AI预诊、心脏诊疗相关的生物医学信号处理等。

2、传感器阵列信号处理：包括波达方向（DOA）估计、波束形成、目标检测算法等。

开授课程

开授课程：

1、《模拟电路》, 面向本科二年级学生
2、《通信电子线路》, 面向本科二年级学生
3、《人工神经网络》, 面向研究生一年级

课程教学：

科研项目

科研项目：

论文

论文：

1、Chunjian Yang, Neng Dai, Zhi Wang, Shengsheng Cai, Jiajun Wang, Nan Hu*, Cardiopulmonary auscultation enhancement with a two-stage noise cancellation approach[J], Biomedical Signal Processing and Control, 2023, 79: 104175.
2、Chunjian Yang, Nan Hu#, Dongyang Xu, Zhi Wang, Shengsheng Cai, Monaural cardiopulmonary sound separation via complex-valued deep autoencoder and cyclostationarity[J], Biomedical Physics & Engineering Express, 2023, 9: 035002.
3、Huaying Liu, Guanzhong Gong, Wei Zou, Nan Hu, Jiajun Wang*, Topologically preserved registration of 3D CT images with deep networks[J], Physics in Medicine & Biology, 2023, 68: 035010.
4、Gangcheng Cai, Huaying Liu, Wei Zou, Nan Hu, Jiajun Wang*, Registration of 3D medical images based on unsupervised cooperative cascade of deep networks[J], Biomedical Signal Processing and Control, 2023, 82: 104594.
5、Limei Shuai, Wei Zou, Nan Hu, Xin Gao, Jiajun Wang*, An advanced W-shaped network with adaptive multi-scale supervision for osteosarcoma segmentation[J], Biomedical Signal Processing and Control, 2023, 80: 104243.
6、Mingwen Qu, Chunqi Chang, Jiajun Wang, Jianling Hu, Nan Hu*, Nonnegative block-sparse Bayesian learning algorithm for EEG brain source localization[J], Biomedical Signal Processing and Control, 2022, 77: 103838.
7、Yue Ma, Doudou Bian, Dongyang Xu, Wei Zhou, Jiajun Wang, Nan Hu*, A spatio-temporal interactive attention network for motor imagery EEG decoding[C], ICSPCC 2022, Xi'an, China, 25-27 Oct. 2022.
8、Neng Dai, Zhangwei Chen, Fan Zhou, You Zhou, Nan Hu, Shaofeng Duan, Wei Wang, Yongfu Yu, Longjiang Zhang, Juying Qian and Junbo Ge*, Association of Lipoprotein (a) with Coronary CTA Assessed High-Risk Coronary Disease Attributes and Cardiovascular Outcomes[J], Circulation: Cardiovascular Imaging, 2022, 15(12): e014611.
9、Mengli Sun, Wei Zou, Nan Hu, Jiajun Wang*, Zheru Chi, Iterative brain tumor retrieval for MR images based on user's intention model[J], Pattern Recognition, 2022, 127: 108650.
10、Neng Dai, Rui Zhang, Sheng Yuan, Nan Hu, Changdong Guan, Tongqiang Zou, Zheng Qiao, Jining He, Shaofeng Duan, Lihua Xie, Kefei Dou, Yingmei Zhang, Bo Xu*, Junbo Ge*, Prognostic implications of quantitative flow ratio-derived physiological 2-dimensional residual disease patterns after stenting[J], JACC: Cardiovascular Interventions, 2022, 15(16): 1624-1634.
11、Neng Dai, Sheng Yuan, Kefei Dou, Rui Zhang, Nan Hu, Jining He, Changdong Guan, Tongqiang Zou, Zheng Qiao, Shaofeng Duan, Lihua Xie, Yongfu Yu, Yingmei Zhang, Bo Xu*, Junbo Ge*, Prognostic implications of prestent pullback pressure gradient and poststent quantitative flow ratio in patients undergoing percutaneous coronary intervention[J], Journal of the American Heart Association, 2022, 11(11): e024903
12、Neng Dai, Rui Zhang, Nan Hu, Changdong Guan, Tongqiang Zou, Zheng Qiao, Min Zhang, Shaofeng Duan, Lihua Xie, Kefei Dou, Yingmei Zhang, Bo Xu*, Junbo Ge*, Integrated coronary disease burden and patterns to discriminate vessels benefiting from percutaneous coronary intervention[J], Catheterization and Cardiovascular Interventions, 2022, 99(1): E12-E21.
13、Mingwen Qu, Tingting Chen, Shiqi Lu, Jianling Hu, Jiajun Wang, Nan Hu*, Inverse solution of steady-state responses based on sparse Bayesian learning[J], IEEE Access, 2021, 9: 15133-15148.
14、Chonghui Xu, Nan Hu*, Yuezhou Li, A millimeter wave radar target detection method in K-distributed clutter background[C], TOCS 2021, Shenyang, China, 10-11 Dec. 2021.
15、Zhen Shi, Neng Dai, Renyu Liu, Jiajun Wang, Shengsheng Cai, Nan Hu*, Machine-learning-based aortic stenosis detection for electronic stethoscope[C], WCSP 2021, Changsha, China, 20-22 Oct. 2021.
16、Mingwen Qu, Yue Ma, Shiming Zhou, Jiajun Wang, Nan Hu*, Drowsiness detection using forehead electrophysiological signals and CNN-multiGRU networks[C], IHMSC 2021, Hangzhou, China, 21-22 Aug. 2021.
17、Weikang Huang, Wei Zou, Erxi Fang, Nan Hu, Jiajun Wang*, Content-based brain tumor retrieval for MR images with joint deep and handcrafted visual features[C], DSInS 2021, Chengdu, China, 03-04 Dec. 2021.
18、Tingting Chen, Shiqi Lu, Ping Qian, Guolin Chen, Nan Hu*, An automatic detection method for 40-Hz auditory steady state response and its application in prognosis of comatose patients[J], Clinical Neurophysiology, 2020, 131(3): 703-715.
19、Nan Hu, Tianyun Wang, Qiang Wei, Jianling Hu*, Underdetermined wideband DOA estimation utilizing noncircular complex Gaussian distribution[J], IEEE Sensors Letters, 2020, 4(5): 7001604.
20、Tingting Chen, Jiajun Wang, Bing Sun, Nan Hu*, Solving the inverse problem for auditory steady-state response via sparse Bayesian learning[C], ITNEC 2020, Chongqing, China, 12-14 June 2020.
21、Dan Shen, Nan Hu, Wei Zou, Jiajun Wang*, Simultaneous artery-vein segmentation in fundus images using an improved fully convolutional network[C], ICCC 2020, Chengdu, China, 11-14 Dec. 2020.
22、Xiangdong Lin, Wei Zou*, Nan Hu, Jiajun Wang, An Improved Deep Supervised Hashing Method for Hamming Space Retrieval[C], ICCC 2020, Chengdu, China, 11-14 Dec. 2020.

科技成果

软件著作软件著作：专利专利：

1、胡南，陈婷婷，曲铭雯，孙兵，王加俊, 基于稀疏贝叶斯学习的稳态诱发响应脑源定位方法, ZL202010001431.5, 苏州大学, 发明专利, 已授权.
2、胡南，孙兵，陈婷婷，陆士奇，陈国林, 昏迷病人预后评价装置, ZL201810662454.3, 苏州大学, 发明专利, 已授权.
3、胡南，陈小平，胡丹峰，方二喜, 一种非均匀传感器阵列宽带信号波达方向估计方法, ZL201811178910.3, 苏州大学, 发明专利, 已授权.

荣誉及奖励

荣誉及奖励：

1、2020年度“苏州市科协青年科技人才托举工程”资助培养对象, 2020年9月

招生信息

招生信息：招生信息1：

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姓名：胡南

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