Qianyu Wang

Studying the potential performance of FLArE/FASER2 particle detectors at the CERN Forward Physics Facility.

• Analytical calculations of muon trajectories' angular acceptance of FASER2 detector and compilation of Python codes for optimization of dimensions of FASER2 magnet unit and tracker unit
• Compilation of Python codes for estimation of momentum resolution of particle track simulation from FLArE and optimization of particle detector dimension
• Analytical calculations of reconstructions of particles' vertex positions and compilation of Python codes to distinguish decayed muons from muon background

Research on Airglow Image Classification by Machine Learning

• Built a convolutional neural network and trained an image classification model to select the airglow image captured at clear night from massive airglow images, the classification model achieved a prediction accuracy of 94%
• Published the paper Analysis of Airglow Image Classification Based on Feature Map Visualization as the second author on Applied Sciences

Research on Artificial Intelligence Security

• Research on malicious attack types against deep neural network image classifiers
• Experimented with the effectiveness of defense mechanisms using Gaussian noise encryption
• The second author's paper on this topic was published in IOPScience