• Designing a unique garment prototype that fits different body shapes and sizes

• Garment fit evaluation between parent and child block patterns: ease amount, dart features, ease distribution

• Experimental investigation of the garment pressure sensor in the real and 3D environment

• Developing a theoretical framework for supporting Technical Designers’ decision-making in the era of artificial intelligence

• Developing a Machine Learning model for fit prediction

• Developing a body asymmetry prediction model in the context of apparel production using Discriminant Function Analysis

Creative Pattern Making for Fashion Design

Global Fashion Management

• Rigging 3D scans using MIXAMO, AutoCAD 2D/3D

• Animating with Clo3D, AutoCAD 2D/3D

• Evaluating fit (ease, surface area, and volume) between real and virtual environments with Geomagic Wrap

• Developed a size chart for children's cloth face masks using computational methods including PCA, K-means Clustering, ANOVA, Correlation and Regression analysis

• Explored shift dress fit perception differences tried on individuals' 3D and parametric avatars

• Explored the impact of color (lightness and hue) on garment fit perception across 2D and 3D views on different body shapes using ANCOVA, and Paired t-Test