Andi Wang

Andi Wang

Assistant Professor

School of Manufacturing Systems and Networks

Ira Fulton School of Engineering
Arizona State University

Phone: (602) 543-5001
Email: andi.wang “at” asu.edu

Address:
6075 Innovation Way W
Technology Center 128
Mesa, AZ 85212

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  • Journal Publications

    1. Xian, X., Semenov, A., Hu, Y., Wang, A. and Jin, Y. (2022) Adaptive Sampling and Quick Anomaly Detection in Large Networks. IEEE Transactions on Automation Science and Engineering. Accepted.

    2. Wang, F., Wang, A., Tang, T. and Shi, J. (2022) Health Index Construction with High Dimensional Data. Submitted to IEEE Transactions on Automation Science and Engineering. Accepted.

    3. Miao, H., Wang, A., Chang, T. and Shi, J. (2022) A product-oriented transformation of continuous streaming data for relationship mining in a hot rolling process. AMSE Transactions, Journal of Manufacturing Science and Engineering. Accepted.

    4. Miao, H., Wang, A., Li, B. and Shi, J. (2021) Process Modeling with Multi-level Categorical Inputs via Variable Selection and Level Aggregation. Submitted to IISE Transactions. Accepted.

    5. Wang, A., Du, J., Zhang, X. and Shi, J. (2021). Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation. Submitted to Technometrics. (INFORMS 2019 Data Mining Section Best Paper Finalist, accepted)

    6. Wang, A., Chang, T. and Shi, J. (2021) Multiple Event Identification and Characterization by Retrospective Analysis of Structured Data Streams. IISE Transactions. (accepted) [code]

    7. Miao, H., Wang, A., Li, B. and Shi, J. (2021) Structural Tensor-on-Tensor Regression with Interaction Effects and its Application to a Hot Rolling Process. Journal of Quality Technology.(accepted)

    8. Zhong, Z., Wang, A., Kim, H. and Shi, J. (2021). Adaptive Cautious Regularized Run-to-Run Controller for Lithography Process. IEEE Transaction on Semiconductor Manufacturing. accepted.

    9. Mou, S., Wang, A., Zhang, C., & Shi, J. (2021). Additive Tensor Decomposition Considering Structural Data Information. IEEE Transactions on Automation Science and Engineering, accepted. (Finalist, IISE QCRE Division Best Student Paper Competition. The winner will be announced at IISE conference in May 2021. )

    10. Tian, H., Wang, A., Chen, J., Jiang, X., Shi, J., Zhang, C., Mei, Y. and Wang, B. (2021) Learning the Treatment Effects on FTIR Signals Subject to Multiple Sources of Uncertainties. IEEE Transactions on Automation Science and Engineering, accepted.

    11. Wang, A., & Shi, J. (2021). Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs. IISE Transactions, 53(5), 582-596. (INFORMS 2020 Quality, Statistics and Reliability Section Best Paper Finalist)

    12. Wang, A., Xian, X., Tsung, F., & Liu, K. (2018). A spatial-adaptive sampling procedure for online monitoring of big data streams. Journal of Quality Technology, 50(4), 329-343.

    13. Cheng, L., Wang, A., & Tsung, F. (2018). A prediction and compensation scheme for in-plane shape deviation of additive manufacturing with information on process parameters. IISE Transactions, 50(5), 394-406. (IISE Transactions, Feature Article)

    14. Cheng, L., Tsung, F., & Wang, A. (2017). A Statistical Transfer Learning Perspective for Modeling Shape Deviations in Additive Manufacturing. IEEE Robotics and Automation Letters, 2(4), 1988-1993.

    15. Xian, X., Wang, A., & Liu, K. (2018). A nonparametric adaptive sampling strategy for online monitoring of big data streams. Technometrics, 60(1), 14-25.

    16. Wang, A., Song, S., Huang, Q., & Tsung, F. (2017). In-plane shape-deviation modeling and compensation for fused deposition modeling processes. IEEE Transactions on Automation Science and Engineering, 14(2), 968-976.

    17. Wang, A., Wang, K. and Tsung, F. (2014). Statistical Surface Monitoring by Spatial-Structure Modeling. Journal of Quality Technology, 46(4).

  • Conference Proceedings

    1. M. Jiang, A. Wang, Z. Li, and F. Tsung. (2022) A Unified Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network. CASE 2023. Accepted.
    2. Wang, A., Jafari, D., Vaneker, T., & Huang, Q. (2022) Surface Roughness Characterization for Additive Manufactured Products via Double Kernel Smoothing Spatial Variogram Estimation. MSEC 2022. Accepted.