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»

  • Sep 2021, our paper “Low-rank and Sparse Tensor Decomposition with RidgeRegularized Subspace Clustering for Metro Passenger Flow Modeling” has been selected as the best paper finalist in the theoretical track for the 16th INFORMS Hybrid Workshop on Data Mining and Decision Analytics on Saturday, October 23, 2021.

  • Sep 2021, our paper “Tensor Topic Models with Graphs and Their Applications on Individualized Travel Patterns” has been selected as the best paper finalist in the applied track for the 16th INFORMS Hybrid Workshop on Data Mining and Decision Analytics on Saturday, October 23, 2021.

  • Aug 2021, my Ph.D. student Nurretin Dorukhan Sergin has successfully defend his dissertation and congratulation to Dorukhan.

  • 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 and News.

  • 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.

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). Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach. Transportation Research Part C: Emerging Technologies.

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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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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