I graduated with a Ph.D. in Mechanical Engineering from Imperial College London in 2017, my thesis work focusing on the mechanical testing and microstructural/Computational analysis of materials in the Creep Age Forming process. Following this I was a product manager at Foodom robotic restaurant company. My work focused on the prototype development and testing for the automated cooking devices.
A particular topic of interest (and continued collaboration) is the advanced microstructural analysis, mechanical testing and constitutive modelling in areas of metal forming technologies for predicting microstructural evolutions of metals and final shape of formed parts.
 

The Advanced Materials Processing and Intelligent Manufacturing Laboratory, led by Prof. Yo-Lun Yang at the Institute of Manufacturing Technology, National Taipei University of Technology, focuses on bridging fundamental materials science with cutting-edge computational and AI-driven approaches. Our core research spans three pillars: (1) constitutive modeling and AI-assisted process optimization for aluminum alloy forming — including creep age forming (CAF) and hot stamping quenching (HFQ) technologies for aerospace and automotive lightweighting applications; (2) sustainable biochar-based composite materials development utilizing agricultural waste; and (3) high-performance tool steel characterization for advanced die and mold applications. A signature contribution of the lab is the Micro-Mechanism Informed Artificial Neural Network (MMIANN), a hybrid physics-neural framework that integrates dislocation dynamics, grain boundary migration, and precipitation kinetics with machine learning to achieve multi-scale predictive capability for non-isothermal manufacturing processes.

The lab is equipped with thermo-mechanical testing capabilities including Gleeble 3800 simulation systems for coupled cooling-deformation experiments, universal testing machines for elevated-temperature mechanical characterization, and forming limit testing facilities. Microstructural analysis is conducted through transmission electron microscopy (TEM) for nanoscale precipitation and dislocation studies. The lab maintains active international collaborations with Imperial College London (UK), Kalasalingam Academy of Research and Education (India), and Beijing University of Technology (China), as well as domestic industry partnerships with organizations including the Metal Industries Research and Development Centre (MIRDC) and Gloria Material Technology Corporation. Students in the lab gain hands-on experience in both experimental materials characterization and computational modeling using tools such as MATLAB, Python, and Abaqus finite element analysis, preparing them for careers in advanced manufacturing, aerospace, and automotive industries.