Summary
Kevin Ren is a deputy technical manager and PhD-trained computer scientist with over eight years applying ML/DL to semiconductor smart manufacturing at ITRI. He leads development of time-series regression and prognostics systems—delivering virtual metrology, failure prediction, and RUL solutions—while integrating models into production PHM pipelines. His hands-on work spans deep learning architectures (ResNet, SENet, FCN, GANs) and classical ML (SVM, RF, GBDT), and he has translated research prototypes into system-integrator-ready solutions. As a lecturer in predictive maintenance, he combines technical leadership with mentorship and cross-team collaboration. Notably, he won a smart-manufacturing big-data competition using stacked GBDT and combined spatial-spectral feature engineering to tackle scarce failure data. Based in Taiwan, Kevin balances research rigor with pragmatic deployment experience across image, time-series, and sensor-driven problems.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National Tsing Hua University
English, Chinese