Ting Wan is a senior engineer with six years of experience applying machine learning and signal processing to industrial inspection and reliability projects, currently designing FPGA-based control systems and visual data compression for high-speed road inspection. With a PhD in Mechanical and Aerospace Engineering, she developed multiscale electro-chemo-mechanical models and used density functional theory to probe ion transport in solid-state battery materials. Her academic work produced DRTtools, a widely adopted MATLAB/Python GUI for distribution of relaxation times that has garnered significant citations, and she has translated that tool into a PyQt5-based Python application. Comfortable moving research into production, she has combined unsupervised anomaly detection, STFT-based analytics, and novel health indices for train wheel monitoring with practical embedded implementations. Colleagues would highlight her rare blend of theoretical rigor and hands-on system-building across FPGA, Python, and signal-processing stacks.
6 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical and Aerospace Engineering, Doctor of Philosophy - PhD, Mechanical and Aerospace Engineering at 香港科技大學
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