黄晓林

电子电工实验教学中心 硕导

个人简历

博士,副教授,黄晓林老师长期从事信号处理与数据分析,主持省、市级科研项目4项,参与国家重点研发计划1项,省重点研发计划2项。发表学术论文40多篇,授权发明专利5 项。主讲课程《计算方法》、《数据科学导论》,慕课《探索数据的奥秘》(省级一流本科课程),主编教材《数据科学导论:探索数据的奥秘》(江苏省重点规划教材)。指导研究生、本科生获得港澳宝典资料大全优秀硕士论文、港澳宝典资料大全优秀本科生论文、物联网大赛国家奖等多项荣誉。

研究方向

信号处理、数据分析

主要课程

计算方法
数据科学导论

中国大学MOOC: 《探索数据的奥秘》

代表成果
  • 1.Q. Yu, X. Huang*, et al. Intensive Care Unit False Alarm Identification Based on Convolution Neural Network. IEEE Access. 9: 81841-81854, 2021, doi: 10.1109/ACCESS.2021.3086862.

  • 2. J. Xi, X. Huang*,et al . Classification for memory activities: experiments and EEG analysis based on networks constructed via phase locking value. Computational and Mathematical Methods in Medicine. 2022: 3878771. 2022. https://doi.org/10.1155/2022/3878771. 

  • 3. Xiaofei Ma, Xiaolin Huang*, et al. Brain Connectivity Variation Topography Associated with Working Memory. PLoS One. 11(12): e0165168. 2016.

  • 4. Fengzhen Hou, Xiaolin Huang*, et al. Combination of equiprobable symbolization and time reversal asymmetry for heartbeat interval series analysis. Phys. Rev. E. 87(1): 012908. 2013.

  • 5. Xiaofei Ma, Xiaolin Huang*, et al. Symbolic joint entropy reveals the coupling of various brain regions. Physica A. 490: 1087-1095. 2018.

  • 6. Jie Zhang, Xiaolin Huang*, et al. Nearest Neighbor Method to Estimate Internal Target for Real-Time Tumor Tracking. Technology in Cancer Research & Treatment. 17: 1-13. 2018.

  • 7. Xiaofei Ma, Xiaolin Huang*, et al. EEG based topography analysis in string recognition task. Physica A. 469: 531-539. 2017.

  • 8. Weifeng Li, Xiaolin Huang*, et al. Common Interferences Removal from Dense Multichannel EEG Using Independent Component Decomposition. Computational and Mathematical Methods in Medicine. 2018: 1482874. 2018.

  • 9. Chengyu Huo, Xiaolin Huang*, et al. A multi-scale feedback ratio analysis of heartbeat interval series in healthy vs. cardiac patients. Medical Engineering and Physics. 36(12): 1693-1698. 2014.

  • 教材:

    黄晓林、刘斌等。数据科学导论 : 探索数据的奥秘。ISBN 978-7-302-56169-9。北京 : 清华大学出版社, 2020.10。  江苏省重点规划教材,面向新工科的电工电子信息基础课程系列教材。

        





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