Ding Pengxin, CPC member, Doctor of Engineering, associate researcher; The research direction is artificial intelligence and informatization. From 2016 to 2020, he studied in School of Computer (Software) of Sichuan University and obtained a doctor's degree.

Dr. Ding Pengxin has been engaged in the research on artificial intelligence and informatization for a long time, and is committed to the application of relevant research results in transportation, medical and other fields. Presided over and participated in more than ten scientific research and engineering projects, and received more than 10 million yuan.

[Research direction]

1. Artificial intelligence

2. Informatization

[Undertake the project]

1. The R&D and implementation project of UAV and UAV collaborative control module was hosted by State Grid ICT Yili Technology Co., Ltd

2 Research and verification of air traffic control operation efficiency evaluation method and data mining technology driven by high-quality development of civil aviation

3. Research on biochemical metabolism mechanism of brain fatigue based on chromatography-mass spectrometry

4 Research and verification of data mining technology for ATC risk assessment

5 Research on the generation mechanism and prediction method of controller acute fatigue based on the time-varying characteristics of traffic flow and intervention strategies

[Current teaching]

Data structure, undergraduate

[Publish papers]

[1] Ding, P, Zhang, J, Zhou, H. et al. Pyramid context learning for object detection. The Journal of Supercomputing, 76, 9374–9387 (2020). SCI检索 IF 2.469

[2] Ding P, Zhou H, Shang J, et al. Object Detection via Flexible Anchor Generation. International Journal of Pattern Recognition and Artificial Intelligence. 已录用. SCI检索 IF.1.375

[3] Ding P, Shen Q, Huang T, et al. A Generation Method and Verification of Virtual Dataset[C]. Man-Machine-Environment System Engineering. Springer, Singapore, 2020: 469-475.

[4] Shen Q , Huang T, Ding P, et al. Training Real-Time Panoramic Object Detectors with Virtual Dataset[C]// ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021.

[5] Chen Z, Zhang J, Ding P. Fatigue Detection of Air Traffic Controllers Using Metabolomic Methods[C]//2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT). IEEE, 2019: 471-474.

[Contact Information]

E-mail: 41777581@qq.com