I am a PhD student in Industrial Engineering at Arizona State University, advised by Hao Yan. Prior to studying at ASU, I received my M.S. degree in University of Washinton and B.S. degree in Jilin University.

My research interest lies in Machine Learning, Deep Learning, Natural Language Processing, Change Detection and Anomaly Detection. Currently I’m working on the two following projects: building high-dimensional process monitoring system, text mining for improving aviation safety. A copy of my CV is here.

Publications

• Hao Yan, Xinyu Zhao, Zhiyong Hu, and Dongping Du. Physics-based deep spatio-temporal metamodeling for cardiac electrical conduction simulation. IEEE 15th International Conference on AutomationScience and Engineering (CASE), 2019

• Xinyu Zhao, Hao Yan, Jing Li, Yutian Pang, and Yongming Liu. Spatio-temporal anomaly detection,diagnostics, and prediction of the air-traffic trajectory deviation using the convective weather, 11th Annual Conference of the Prognostics and Health Management Society, PHM 2019

• Xinyu Zhao, Yunyi Kang, Hao Yan, and Feng Ju. Semi-supervised constrained hidden markov modelusing multiple sensors for remaining useful life prediction and optimal predictive maintenance, 11th Annual Conference of the Prognostics and Health Management Society, PHM 2019