Summary
Jingyue Pang is a PhD candidate at Harbin Institute of Technology specializing in Prognostics and Health Management, remaining useful life prediction for lithium-ion batteries, anomaly detection, and big data mining. Over five years she has authored eight journal and conference papers (including SCI and EI indexed work), holds 21 invention patent applications with three granted, and has been a key contributor to eight research projects. Combining a strong academic foundation in machine learning and data mining (MS) with instrumentation expertise (BS), she applies practical monitoring-data processing techniques to real-world reliability problems. Jingyue also mentors graduate students and bridges theoretical research with applied patentable innovation, reflecting a focus on translating models into deployable solutions.
5 years of coding experience
MS, machining learning and data mining, MS, machining learning and data mining at Harbin Institute of Technology
BS, instrument science and technology, BS, instrument science and technology at chongqing university of technology
Chinese, English