Yu An

Research intern

Huawei•  November 2022 - Present

• Conducted extensive literature reviews to identify feasible development directions for the team. • Prepared deep dive research reports and presented my insights to domain experts, which helped the team make informed decisions about their development efforts.

University College Dublin

Computer Science, PhD•  September 2018 - Present

• Developed and implemented machine learning models on large-scale datasets (image, tabular datasets), resulting in 7 top-tier journal & conference research articles (Google Scholar). • Proficient in building PyTorch and Keras-based machine learning models, resulting in a GitHub repository with 35 stars. Successfully utilized a variety of ML models, such as Regression, Random Forest, Decision Tree, KNN, VGG, ResNet, U-Net, GAN, DnCNN, neural style transfer, transfer learning, and active learning. • Skilled in statistical analysis with Python packages (Scikit-learn, Pandas, NumPy, OpenCV), SQL and R programming language. Expertise in data visualization tools such as Matplotlib, Plotly and Tableau. • Experience with Linux, CUDA, google cloud platform (e.g. Colab) environment. • Awarded 2 best poster prize in 2019, 2022 and UCD CS school scholarship (€31360/year)