Hong Peng

Political Affiliation: Member of the Communist Party of China (CPC)
Academic Title: Professor, Doctoral/Master’s Supervisor
Position: Director of the Military-Civilian Collaborative Innovation Center, School of Information Science and Engineering
Affiliated Institute: Institute of Optoelectronics and Electromagnetic Information
Office Address: Room 315, Feiyun Building
Educational Background
Sep. 1998 – Jul. 2002 School of Information Science and Engineering, Lanzhou University | Bachelor of Science in Radio Physics
Sep. 2002 – Jul. 2005 School of Information Science and Engineering, Lanzhou University | Master of Science in Radio Physics
Sep. 2009 – Jul. 2015 School of Information Science and Engineering, Lanzhou University | Doctor of Science in Radio Physics
Work Experience
Aug. 2005 – Mar. 2007 Teaching Assistant, School of Information Science and Engineering, Lanzhou University
Mar. 2007 – Mar. 2014 Lecturer, School of Information Science and Engineering, Lanzhou University
Sep. 2010 – Aug. 2011 Visiting Scholar, ETH Zurich, Switzerland
Jun. 2014 – Jan. 2020 Associate Professor, School of Information Science and Engineering, Lanzhou University
Jan. 2020 – Present Professor, School of Information Science and Engineering, Lanzhou University
Teaching Activities
Undergraduate Courses Taught: Communication Electronic Circuits, Methods of Mathematical Physics, Introduction to Modern Communication Systems
Graduate Supervision
He has been supervising master’s students since 2016, with a total of 10 master’s students supervised. Graduates are currently employed in enterprises such as Huawei and research institutions including the Institute of Modern Physics, Chinese Academy of Sciences.
Research Interests
Bioelectrical signal processing, ubiquitous affective computing, wearable sensors, etc. Has long been engaged in the research of biosensors, bioelectrical signal processing and affective information feature analysis.
Majors for Student Recruitment
Communication and Information System, Information and Communication Engineering, Electronic and Communication Engineering, Computer Science and Technology
Research Projects
Completed Projects (Hosted/Participated): 2 projects of the National Basic Research Program of China (973 Program) (Project Nos.: 2011CB711000, 2014CB744600), 1 International Cooperation Project of the National Natural Science Foundation of China (Project No.: 61210010), 2 projects of the National Natural Science Foundation of China (Project Nos.: 60973138, 61300231)
Ongoing Projects: 1 Key Project of the National Natural Science Foundation of China (Project No.: 616320141), 1 Major Instrumentation Project of the National Natural Science Foundation of China (Project No.: 161627808)
Publications
He has published more than 10 SCI/EI indexed papers. Major SCI/EI papers in the past 5 years are as follows:
T. Wang, C. Li, C. Wu, C. Zhao, J. Sun, H. Peng, X. Hu, B. Hu. “A Gait Assessment Framework for Depression Detection Using Kinect Sensors,” IEEE Sensors Journal, 2020. doi: 10.1109/JSEN.2020.3022374.
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 IEEE 22th International Conference on e-Health Networking, Applications and Services (Healthcom). IEEE, 2020.
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 fNIRS Study,” in 3rd IFAC Conference on Cyber-Physical & Human-Systems. CPHS, 2020.
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.
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.
H. Peng, C. Li, et al. A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation. Neurocomputing, 2019. DOI: 10.1016/j.neucom.2019.12.010
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.
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
Hu B*, Peng H, Zhao Q, et al. (2015) Signal Quality Assessment Model for Wearable EEG Sensor on Prediction of Mental Stress. NanoBioscience
International Cooperation
Sep. 2010 – Aug. 2011 Participated in the European Union’s Seventh Framework Programme for Research and Technological Development, and conducted a one-year academic exchange at ETH Zurich, Switzerland.
Social Work
Dec. 2013 – May 2018 Served as Secretary-General of ACM Lanzhou Chapter, China
Mail: pengh@lzu.edu.cn