Anh-Duy Pham

I am a Doctoral Researcher at the Chair of Logistics and Quantitative Methods at the Julius-Maximilians-Universität Würzburg. My research is situated at the intersection of advanced machine learning and operations management.

Specifically, I focus on graph-based time series forecasting to enable data-driven decision-making in supply chain management. I combine this with expertise in Agent-based Modelling to simulate and analyze complex economic and environmental systems.

My academic background is rooted in Generative Deep Learning and Computer Vision, having developed novel deepfake autoencoders using StyleGAN and Vision Transformers during my Master's. I have previously applied these skills to biometrics and CAE simulations at various Fraunhofer institutes.