Hao Yan

Hao Yan

Assistant Professor in School of Computing, Informatics, and Decision Systems Engineering

Arizona State University

Biography

Research Interest

Develop machine learninng models and efficient real-time large-scale optimization algorithms for high-dimensional data (i.e., Images, profiles, signals) in different industrial systems and spatio-temporal systems for anomaly detection and system modeling

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Interests
  • Artificial Intelligence
  • Data Science
  • Deep Learning
Education
  • Ph.D. in Industrial Engineering, 2017

    Georgia Institution of Technology

  • M.S. in Statistics, 2016

    Georgia Institution of Technology

  • M.S. in Computational Science and Engineering, 2016

    Georgia Institution of Technology

  • B.S. in Physics, 2011

    Beijing University

Recent News

All news»

  • July 2021, our project “Photovoltaic Plant Predictive Maintenance Optimization under Uncertainties Using Probabilistic Information Fusion” is funded by Solar Energy Technologies Office | Department of Energy to artificial intelligence techniques in solar industries, Amount: 750K + 380K Cost share. Role: PI, See Award Annoucement.

  • Nov 2020, INFORMS QSR Best Paper Competition, 2020 for our paper “Adaptive Partially-Observed Sequential Change Point Detection with Multiple Failure Modes​”. See the Awards - Quality, Statistics & Reliability.

  • Nov 2020, INFORMS Data Mining Best Paper Competition Finalist, 2020 for our paper “​Thompson Sampling based Partially Observable Online Change Detection via Bayesian Spike-Slab Composite Decomposition”, See Finalists Announcement.

  • Aug 2020, IEEE CASE Best Conference Paper Award 2020 for our paper “Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile”. See the IEEE CASE Best Conference Paper Award Annoucement.

  • Feb 2020, Co-PI for NASA ULI “Information Fusion for Teal-Time National Air Transportation System Prognostics under Certainty”, provide air-traffic risk quantification using sequence of event data, Link.

Students

Ph.D. Students

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Jiayu Huang

Arizona State University

Ph.D. Students

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Jiuyun Hu

Arizona State University

Ph.D. Students

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Nurettin Dorukhan Sergin

Arizona State University

Ph.D. Students

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Xinyu Zhao

Arizona State University

Ph.D. Students

Recent Publications

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(2021). Combining Anatomical Constraints and Deep Learning for 3-D CBCT Dental Image Multi-Label Segmentation. 2021 IEEE 37th International Conference on Data Engineering (ICDE).

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(2021). Image Decomposition-Based Sparse Extreme Pixel-Level Feature Detection Model with Application to Medical Images. IISE Transactions on Healthcare Systems Engineering.

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(2021). Deep Multistage Multi-Task Learning for Quality Prediction and Diagnostics of Multistage Manufacturing Systems. Journal of Quality Technology.

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(2021). Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection. ASME 2020 15th International Manufacturing Science and Engineering Conference.

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(2021). Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report. Proceedings 37th IEEE International Conference on Data Engineering.

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Contact

  • haoyan@asu.edu
  • (480) 727-0556
  • ASU School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ 85281
  • Enter Brickyard Building and take the stairs to Office 338 on Floor 3