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»

  • May 2023, our paper “Interpretation and visualization of distance covariance with additive decomposition of correlations formula” has been selected as the best paper award in IISE DAIS Track. Congraduations to my collaborator Andi Wang.

  • Feb 2023, our short course “AI for Air Traffic Safety Enhancement” is open in AIAA. Congratulations to the all NASA ULI Members.

  • Sep 2022, our Project “Novel threat detection methodology to detect HIV outbreaks in Washington” has received funding from National Institutes of Health.

  • Sep 2022, our Project “AIDen: An AI-empowered detection and diagnosis system for jaw lesions using CBCT” has received funding from National Institutes of Health.

  • Jul 2022, my Ph.D. student Xinyu Zhao has successfully defended his dissertation “Hierarchical Sequential Event Prediction and Translation from Aviation Accident Report Data”, He is currently working in Zillow. Congratulations to Xinyu.

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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(2023). ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data. IEEE Transactions on Automation Science and Engineering.

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(2023). Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints. Knowledge-Based Systems.

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(2022). Adaptive Partially Observed Sequential Change Detection and Isolation. Technometrics.

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Contact

Email: haoyan@asu.edu

Phone: (480) 727-0556

Directions: Enter Brickyard Building and take the stairs to Office 338 on Floor 3