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姓名:胡南

职称:副教授

直属机构:电子信息学院

学位:工学博士

毕业院校:中国科学技术大学

电子邮箱:hunan@suda.edu.cn

办公地址:本部电子楼335

联系电话:

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相关教师

个人资料

  • 直属机构:电子信息学院
  • 联系电话:
  • 性别:
  • 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:

Technical Program Committee Member

of

IEEE International Conference on Computer and Communications (ICCC),

International Conference on Bioinformatics and Computational Biology (ICBCB),

......

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、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.
  • 3、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.
  • 4、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.
  • 5、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.
  • 6、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.
  • 7、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
  • 8、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.
  • 9、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.
  • 10、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.
  • 11、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.
  • 12、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.
  • 13、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.
  • 14、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.
  • 15、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.
  • 16、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.
  • 17、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.
  • 18、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: