彭宏

  • 政治面貌

  • 职称

    教授,博士生导师/硕士生导师

  • 职务

  • 所在系所

    光电子与电磁信息研究所

  • 邮箱

    pengh@lzu.edu.cn

  • 办公地址

    飞云楼315

学习经历

  1998.09-2002.07,必赢nn699net,无线电物理专业,理学学士
  2002.09-2005.07,必赢nn699net,无线电物理专业,理学硕士
  2009.09-2015.07,必赢nn699net,无线电物理专业,理学博士

工作经历

  2005.08-2007.03,必赢nn699net,助教
  2007.03-2014.03,必赢nn699net,讲师
  2010.09-2011.08,瑞士苏黎世联邦理工学院,访问学者
  2014.06-2020.01,必赢nn699net 副教授
  2020.01-至今,必赢nn699net 教授

教学情况

  主讲本科生课程:通信电子线路,数学物理方法,现代通信系统概论

指导研究生情况

  2016年开始指导硕士研究生,指导硕士研究生10人,目前就职于华为等企业及中科院近代物理研究所等科研单位。

研究方向

  生物电信号处理、普适情感计算、可穿戴传感器等,多年来一直从事生物传感器、生物电信号处理及情感信息特征分析等工作

招生专业

  通信与信息系统,信息与通信工程,电子与通信工程,计算机科学与技术

项目成果

主持参与完成的项目:

国家“973”计划项目2项(项目号2011CB711000,2014CB744600)

国家国际科技合作专项1项(项目号2013DFA11140)

国家自然科学基金国际合作项目1项(项目号61210010)

国家自然科学基金项目2项(项目号60973138, 61300231)

目前在研项目:

国家自然科学基金重点项目1项(项目号616320141)

国家自然科学基金重大仪器专项1项(项目号161627808)

发表论文及专著

发表SCI/EI论文10余篇,近5年主要的SCI/EI论文如下:

[1]T. Wang, C. Li, C.Wu, C. Zhao, J. Sun, H. Peng, X. Hu, B. Hu.(2020). "A Gait Assessment Framework for Depression Detection Using Kinect Sensors," IEEE Sensors Journal, 2020. doi: 10.1109/JSEN.2020.3022374.

[2]T. Wang, J. Sun, J. Chao, S. Zheng, C. Zhao, C.Wu, H. Peng*. “A Novel Gait Analysis Method Based on The Pseudo-velocity Model for Depression Detection,” in 2020 IEEE22th International Conference on e-Health Networking, Applications and Services (Healthcom). IEEE, 2020."

[3]C. Wu, J. Sun, T. Wang, C. Zhao, S. Zheng, C. Lei, H. Peng*. “An Application of Affective Computing on Mental Disorders: A Resting State fNIRSStudy,” in 3rd IFAC Conference on Cyber-Physical & Human-Systems. CPHS, 2020."

[4]S. Zheng, C. Lei, T. Wang, C. Wu, J. Sun, H. Peng*. “Feature-level Fusion for Depression Recognition Based on fNIRS Data,” The IEEE International Conference on Bioinformatics and Biomedicine, 2020.

[5]C. Zhao, C. Li, J. Chao, T. Wang, C. Lei, J. Liu, H. Peng*. “F-score Based EEG Channel Selection Methods for Emotion Recognition,” in 2020 IEEE 22th International Conference on e-Health Networking, Applications and Services(Healthcom). IEEE, 2020.

[6] H. Peng C. Li, et al. A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation. Neurocomputing. DOI: 10.1016/j.neucom.2019.12.010

[7]Jiaqi, W., Yanxiang, G., Wenhan, H., Jianbo, Z., Hong, P.*, Xiping, H*., & Cheng, J*. (2019). Mobile crowdsourcing based context-aware smart alarm sound for smart living. Pervasive and Mobile Computing, 55, 32-44.

[8]Hong Peng, Jinlong Chao, Sirui Wang, Jie Dang, Fengqi Jiang, Bin Hu, and Dennis Majoe. Single-Trial Classification of fNIRS Signals in Four Directions Motor Imagery Tasks Measured From Prefrontal Cortex. IEEE TRANSACTIONS ON NANOBIOSCIENCE. 2018, 17(3):181-190.

[9] Hong Peng, Jinlong Chao,Yongzong Wang,Bin Hu*,Dennis Majoe. Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks. 2017 IEEE International Conference on Bioinformatics and Biomedicine:360-366

[10]Hu B*, Peng H, Zhao Q, et al. (2015) Signal Quality Assessment Model for Wearable EEG Sensor on Prediction of Mental Stress. NanoBioscience, IEEE Transactions on 14: 553-561.

对外合作

2010.09-2011.08,参加欧盟框架7合作项目,赴瑞士苏黎世联邦理工学院交流1年。

荣誉获奖

社会工作

2013.12-2018.05,担任ACM中国兰州分会秘书长

其他信息

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