About

Hongya Lu is a highly accomplished Machine Learning Engineer with over 7 years of experience in data mining and 4 years of applied AI research experience in devising industry solutions. Currently, she is working at Apple as a Machine Learning Engineer. Hongya has a proven capability of advancing AI/Industry 4.0 in manufacturing, healthcare, and financial fields. She is proficient in programming with deliveries of Python and Matlab packages for real systems applications. Hongya is an expert in machine learning research for enhancing algorithms accuracy, efficiency, and robustness. She has also worked on algorithmic design for online learning and dynamic optimization systems, with hands-on lab validation. In her previous role at Koh Young Technology, Inc., Hongya worked as a Graduate Research Associate. She enhanced stencil printing performance by 15% from Cpk evaluation using an incremental learning-based printer control system. She achieved NRMSE = 0.05 with a theoretically designed & lab validated real-time paste volume prediction model. Hongya delivered a ready-to-implement real-time optimization model .py code for application to the assembly line. She established a generalized dynamic control module with hybrid online learning and optimization approaches. She also optimized adaptive online learning algorithms in the presence of limited sample diversity & drifts. Hongya worked on label-free pathological tissue detection using 3D OCT images. She designed a 99% accuracy segmentation model using a dual-tree wavelet based convolutional neural network. She reduced noise in image reconstruction by using wavelet filtering techniques. Hongya performed human thyroid medical image recognition using texture-based features. She also theoretically investigated spectral analysis techniques for enhancing deep neural networks. Hongya has also worked as a Research Assistant at Innovation Company. She worked on the Pharmacy Dispensers Reliability Project. Hongya optimized and predicted product reliability through machine learning methods. She diagnosed product quality problems with fault tree and root causes analysis methods. Hongya analyzed product infant mortality with fuzzy logic methods. She also worked on warranty study and optimization. Hongya holds a Doctor of Philosophy (PhD) degree in Industrial and System Engineering from Binghamton University. She also has a Master's degree in Geodetection and Information Technology from the Institute of Geophysics, China Earthquake Administration. Hongya fulfilled her Graduate Courses from the University of Chinese Academy of Sciences in Geophysics. She completed her Bachelor's degree in Solid Geophysics from Yunnan University. Hongya has expertise in ML, Research Scientist, AI, Neural Networks,