Hongyue Sun

PhD

Portrait of Hongyue Sun.

Hongyue Sun

PhD

Hongyue Sun

PhD

Associate Professor of Research
Department of Industrial and Systems Engineering
School of Engineering and Applied Sciences

Research Topics

Data Science Enabled Decision Making in Advanced Manufacturing and Occupational Safety

Biography Publications Teaching Research Latest News

Journal Publications

  1. Vahedi, Z., Kheiri, K. S. #,  Sun, H., Megahed, M. F., and Cavuoto, A. L. The relationship between RPE and strength change for a fatiguing dynamic upper extremity task: A consideration of multiple cycles and task conditions, Journal of Occupational and Environmental Hygiene, conditionally accepted.
  2. Toscano, J. D., Zuniga-Navarrete, C., Segura, L. J.#, Siu, W. D. J., and Sun, H†. Teeth Mold Point Cloud Completion via Data Augmentation and Hybrid RL-GAN, ASME Transactions, Journal of Computing and Information Science in Engineering, accepted.
  3. Lamooki, S. R., Hajifar, S.#, Kang, J., Sun, H., Megahed, M. F., Cavuoto, A. L. (2022) A Data Analytic End-to-end Framework for the Automated Quantification of Ergonomic Risk Factors across Multiple Tasks Using a Single Wearable Sensor, Applied Ergonomics, 102, 103732.
  4. Lamooki, S. R.*, Hajifar, S.#,*, Hannan, J., Sun, H., Megahed, M. F., Cavuoto, A. L. (2022) Classifying Tasks Performed by Electrical Line Workers Using a Wrist-worn Sensor: A Data Analytic Approach, PloS One, 17(12):e0261765.
  5. Hajifar, S.#, and Sun, H.† (2022) Online Domain Adaptation for Continuous Cross-subject Liver Viability Evaluation Based on Irregular Surface Thermal Data, IISE Transactions, 54(9), 869-880 (QCRE Best Student Paper Award in IISE 2021).
  6. Ghofrani, F., Sun, H., He, Qing. (2022) Analyzing Risk of Service Failures in Heavy Haul Rail Lines: A Hybrid Approach for Imbalanced Data. Risk Analysis, 42(8), 1852-1871. (Second Place in 2019 Railway Applications Section Poster Competition in INFORMS)
  7.  Hajifar, S.#, Lamooki, S. R., Cavuoto, A. L., Megahed, M. F., Sun, H.† (2021) Investigation of Heterogeneity Sources for Occupational Task Recognition via Transfer Learning, Sensors, 21(19), 6677.
  8. Li, Z.#,*, Lee, J.*, Yao, F., and Sun, H.† (2021) Quantifying the CVD-grown 2D MoS2 via Image Clustering, Nanoscale, 13, 15324 - 15333.
  9. Segura, L. J.#, Wang, T., Zhou, C., and Sun, H.† (2021) Online Droplet Anomaly Detection from Streaming Videos in Inkjet Printing, Additive Manufacturing, 38, 101835.
  10. Hajifar, S.#, Sun, H., Megahed, M. F., Jones-Farmer A., Rashedi E., and Cavuoto, A. L. (2021) A Forecasting Framework for Predicting Perceived Fatigue: Using Time Series Methods to Forecast Ratings of Perceived Exertion with Features from Wearable Sensors. Applied Ergonomics, 90, 103262.
  11. Sun, H.†, Pedrielli, G., Zhao, G., Zhou, C., Xu, W., and Pan, R. (2020) Cyber Coordinated Simulation for Distributed Multi-stage Additive Manufacturing Systems. Journal of Manufacturing Systems, 57, 61-71.
  12. Huang, J., Segura, L. J.#, Wang, T., Zhao, G., Sun, H., and Zhou, C. (2020) Unsupervised Learning for the Droplet Evolution Prediction and Process Dynamics Understanding in Inkjet Printing. Additive Manufacturing, 35, 101197.
  13. Huang, J., Sun, H., Kwok, T., Zhou, C., and Xu, W. (2020) Geometric Deep Learning for Shape Correspondence in Mass Customization by 3D Printing. ASME Transactions, Journal of Manufacturing Science and Engineering, 142(6), 061003.
  14. Segura, L. J.#, Zhao, G., Zhou, C. and Sun, H.† (2020) Nearest-neighbor Gaussian Process Emulation for Tensor Responses in Freeze Nano 3D Printing of Energy Devices. ASME Transactions, Journal of Computing and Information Science in Engineering, 20(4), 041005.
  15. Li, Y., Sun, H., Deng, X., and Zhang, C., Wang, B., Jin, R. (2020) Manufacturing Quality Prediction Using Smooth Spatial Variable Selection Estimator with Applications in Aerosol Jet® Printed Electronics Manufacturing. IISE Transactions, 52(3), 321-333 (Honorable Mention for the Best Application Paper in the 2020 IISE Transactions).
  16. Sun, H.†, Jin, R., and Luo, Y. (2020) Supervised Subgraph Augmented Non-negative Matrix Factorization for Interpretable Manufacturing Time Series Data Analytics. IISE Transactions, 52(1), 120-131. (QCRE Best Student Paper Award Finalist in IISE 2017; Invited Paper, INFORMS IISE Transactions Invited Session)
  17. Lan, Q., Sun, H., Robertson, J., Deng, X., and Jin, R. (2018) Non-invasive Assessment of Liver Quality in Transplantation based on Thermal Imaging Analysis. Computer Methods and Programs in Biomedicine, 164, 31-47.
  18. Sun, H., Rao, P., Kong, Z., Deng, X., and Jin, R. (2018) Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process. IEEE Transactions on Automation Science and Engineering, 15(1), 393-403.
  19. Li, Y., Mohan, K., Sun, H., and Jin, R. (2017) Ensemble Modelling of In Situ Features for Printed Electronics Manufacturing with In Situ Process Control Potential. IEEE Robotics and Automation Letters, 2(4), 1864-1870.
  20. Sun, H., Huang, S., and Jin, R. (2017) Functional Graphical Models for Manufacturing Process Modeling. IEEE Transactions on Automation Science and Engineering, 14(4), 1612-1621. (Data Mining Section Best Student Paper Award Finalist in INFORMS 2016)
  21. Sun, H.*, Luo, S.*, Jin, R., and He, Z. (2017) Ensemble Engineering and Statistical Modeling for Parameter Calibration towards Optimal Design of Microbial Fuel Cells. Journal of Power Sources, 356, 288-298.
  22. Sun, H., Wang, K., Li, Y., Zhang, C., and Jin, R. (2017) Quality Modeling of Printed Electronics in Aerosol Jet Printing Based on Microscopic Images. ASME Transactions, Journal of Manufacturing Science and Engineering, 139(7), 071012.
  23. Sun, H., Deng, X., Wang, K., and Jin, R. (2016) Logistic Regression for Crystal Growth Process Modeling through Hierarchical Nonnegative Garrote based Variable Selection. IIE Transactions, 48(8), 787-796. (QCRE Best Student Paper Award Finalist in ISERC 2014)
  24. Luo, S.*, Sun, H.*, Ping, Q., Jin, R., and He, Z. (2016) A Review of Modeling Bioelectrochemical System: Engineering and Statistical Aspects. Energies, 9(2), 111.
  25. Sun, H.*, Luo, S.*, Jin, R., and He, Z. (2015) Multitask Lasso Model for Investigating Multimodule Design Factors, Operational Factors, and Covariates in Tubular Microbial Fuel Cells. ACS Sustainable Chemistry & Engineering, 3(12), 3231-3238.
  26. Tian, W., Sun, H., Zhang, X., and Woodall, W. H. (2015) The Impact of Varying Patient Populations on the In-control Performance of the Risk-adjusted CUSUM Chart. International Journal for Quality in Health Care, 27(1), 31-36.

Refereed Conference or Symposium Proceedings

  1. Zuniga-Navarrete, C., Sun, H†., Zhou, C., and Segura, L. J.# (2023) Model Calibration in Inkjet Printing Process. ASME 2023 18th International Manufacturing Science and Engineering Conference, accepted.
  2. Rubino, M.#, Weng, M.#, Chen, J.#, Saptarshi, S.#, Francisco, M.#, Francisco, A.#, Zhou, C., Sun, H. and Xu W. (2022) Demo: A Campus Prototype of Interactive Digital Twin in Cyber Manufacturing, 20th ACM Conference on Embedded Networked Sensor Systems, accepted.
  3. Toscano, J. D., Hajifar, S.#, Segura, C. O., Segura, L. J.#, and Sun, H.† (2021) Deformation Analysis of 3D Printed Metacarpophalangeal and Interphalangeal Joints via Transfer Learning. ASME 2021 16th International Manufacturing Science and Engineering Conference, 85062, V001T01A014.
  4. Segura, L. J.#, Muñoz, C. N., Zhou, C. and Sun, H.† (2020) Sketch-based Tensor Decomposition for Non-parametric Monitoring of Electrospinning Processes. ASME 2020 15th International Manufacturing Science and Engineering Conference, 84263, V002T09A002.
  5. Huang, J., Wang, T., Segura, L. J.#, Joshi, G. S., Sun, H., and Zhou, C. (2020) Spatiotemporal Fusion Network for the Droplet Behavior Recognition in Inkjet Printing. ASME 2020 15th International Manufacturing Science and Engineering Conference, 84256, V001T01A038.
  6. Toscano, J. D., Li, Z.#, Segura, L. J.#, and Sun, H.† (2020) A Machine Learning Approach to Model the Electrospinning Process of Biocompatible Materials. ASME 2020 15th International Manufacturing Science and Engineering Conference, 84263, V002T06A031.
  7. Ghofrani, F., Sun, H., and He, Q. (2020) A Data-driven Service Failure Prediction Approach for Heavy Haul Rail Lines. Transportation Research Board (TRB) 99th Annual Meeting.
  8. Hajifar, S.#, Purnanandam, R.#, Sun, H.†, and Zhou, C. (2019) Exploring the Multi-stage Effects of Material Preparation and Printing on 3D Printing Product Quality. ASME 2019 14th International Manufacturing Science and Engineering Conference, 58745, V001T01A025.
  9. Huang, J., Sun, H., Kwok, T., Zhou, C., and Xu, W. (2019) Geometric Deep Learning for Shape Correspondence in Mass Customization. ASME 2019 14th International Manufacturing Science and Engineering Conference, 58745, V001T01A034.
  10. Segura, L. J.#, Zhao, G., Sun, H.†, and Zhou, C. (2019) Gaussian Process Tensor Responses Emulation for Droplet Solidification in Freeze Nano 3D Printing of Energy Products. ASME 2019 14th International Manufacturing Science and Engineering Conference, 58745, V001T01A024.
  11. Sun, H.†, Pedrielli, G., Zhao, G., Bragagnolo, A., Zhou, C., Pan, R., Xu, W. (2018) Cyber-coordinated Simulation Models for Multi-stage Additive Manufacturing of Energy Products. 14th IEEE Conference on Automation Science and Engineering, 893-898. (Selected as a Prominent Paper)
  12. Chen, X., Sun, H., and Jin, R. (2016) Variation Analysis and Visualization of Manufacturing Processes via Augmented Reality. Proceedings of the 2016 IIE Annual Conference.
  13. Sun, H., Jin, R., and Zimmerman, B. (2015) Process Modeling and Mapping for a Plasma Spray Coating Process. Proceedings of the 2015 IIE Annual Conference, 1797-1804. (PI Best Student Paper Award Finalist in ISERC 2015)
  14. Zhu, L., Dai, C., Sun, H., Li, W., Jin, R., and Wang, K. (2014) Curve Monitoring for a Single-crystal Ingot Growth Process. Proceedings of the 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2014), Atlantis Press, 227-232.
  15. Wang, A., Sun, H., and Wu, X. (2011) Ameliorated GA Approach for Base Station Planning. International Conference on Modeling and Optimization, Proceeding of SPIE, 8285, 82850L.