Journal papers:

• Boyang Xu, Hasnaa ouidadi, Nicole Van Handel, and Shenghan Guo (2024) “3D X-ray Computed Tomography Image Segmentation and Point Cloud Reconstruction for Internal Defect Identification in Laser Powder Bed Fused Parts,” Journal of Manufacturing Science and Engineering, accepted. 

• Naichen Shi, Raed Al Kontar, and Shenghan Guo (2024) “Personalized Feature Extraction for Manufacturing Process Signature Characterization and Anomaly Detection,” Journal of Manufacturing Systems, Volume 74, 2024, Pages 435-448, ISSN 0278-6125, https://doi.org/10.1016/j.jmsy.2024.04.002.

• Christian Zamiela, Wenmeng Tian, Shenghan Guo, and Linkan Bian (2023) “Thermal-Porosity Characterization Data of Additively Manufactured Ti–6Al–4V Thin-Walled Structure via Laser Engineered Net Shaping,” Data in Brief, Volume 51, Pages 109722, https://doi.org/10.1016/j.dib.2023.109722.

• Shenghan Guo, Rui Dai, Haofan Sun, Qiong Nian, pTS-LSTM: Temperature prediction for fused filament fabrication using thermal image time series, Journal of Manufacturing Processes, Volume 106, 2023, Pages 316-327, ISSN 1526-6125, https://doi.org/10.1016/j.jmapro.2023.09.053.

• Christian Zamiela, Wenmeng Tian, Shenghan Guo, Linkan Bian, Thermal-porosity characterization data of additively manufactured Ti–6Al–4V thin-walled structure via laser engineered net shaping, Data in Brief, Volume 51, 2023, 109722, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.109722.

• Shenghan Guo, Christian Zamiela, and Linkan Bian (2023) "Knowledge-transfer-enabled porosity prediction for new part geometry in laser metal deposition," Journal of Manufacturing Processes, Volume 103, Pages 64-77, ISSN 1526-6125, https://doi.org/10.1016/j.jmapro.2023.08.002.

• Nathan Fonseca, Sri Vaishnavi Thummalapalli, Sayli Jambhulkar, Dharneedar Ravichandran, Yuxiang Zhu, Dhanush Patil, Varunkumar Thippanna, Arunachalam Ramanathan, Weiheng Xu, Shenghan Guo, Hyunwoong Ko, Mofe Fagade, Arunchala M Kannan, Qiong Nian, Amir Asadi, Guillaume Miquelard‐Garnier, Anna Dmochowska, Mohammad K Hassan, Maryam Al‐Ejji, Hassan M El‐Dessouky, Felicia Stan, and Kenan Song (2023) "3D Printing‐Enabled Design and Manufacturing Strategies for Batteries: A Review ," Small, https://doi.org/10.1002/smll.202302718.

• Shenghan Guo, Hyunwoong Ko, and Andi Wang (2023) "Applications and Prospects of Machine learning for Aerosol Jet Printing: A Review," IISE Transactions, DOI: 10.1080/24725854.2023.2223620.

• Hasnaa Ouidadi, Shenghan Guo, Christian Zamiela, Linkan Bian (2023) "Real-time defect detection using online learning for laser metal deposition," Journal of Manufacturing Processes, Volume 99, Pages 898-910, ISSN 1526-6125, https://doi.org/10.1016/j.jmapro.2023.05.030.

• Shenghan Guo, Dali Wang, Zhili Feng, Jian Chen, and Weihong Guo (2023) "Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction," Sensors 2023, 23, 5313. https://doi.org/10.3390/s23115313. 

• Yuxiang Zhu, Tina Kwok, Joel C. Haug, Shenghan Guo, Xiangfan Chen, Weiheng Xu, Dharneedar Ravichandran, Yourka D. Tchoukalova, Jeffery L. Cornella, Johnny Yi, Orit Shefi, Brent L. Vernon, David G. Lott, Jassica N. Lancaster, Kenan Song (2023) "3D Printable Hydrogel with Tunable Degradability and Mechanical Properties as a Tissue Scaffold for Pelvic Organ Prolapse Treatment." Advanced Materials Technologies. DOI: 10.1002/admt.202201421. 

• Shenghan Guo, Weihong Guo, Linkan Bian, and Yuebin Guo (2022) “A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition,” IEEE Transactions on Automation Science and Engineering. DOI: 10.1109/TASE.2022.3158204.

• Shenghan Guo, Mohit Agarwal, Clayton Cooper, Qi Tian, Robert Gao, Weihong Guo, and Yuebin Guo (2022) “Machine Learning for Metal Additive Manufacturing: Towards a Physics-Driven Paradigm,” Journal of Manufacturing Systems, 62, pp. 145-163, DOI: 10.1016/j.jmsy.2021.11.003.

• Xi Huang, Bo Liu, Shenghan Guo, Weihong Guo, Ke Liao, Guoku Hu, Wen Shi, Mitchell Kuss, Michael J. Duryee, Daniel R. Anderson, Yongfeng Lu, and Bin Duan (2022) “Sers Spectroscopy with Machine Learning to Analyze Human Plasma Derived Sevs for Coronary Artery Disease Diagnosis and Prognosis,” Biomedical and Translational Medicine, DOI: 10.1002/btm2.10420.

• Shenghan Guo, Dali Wang, Zhili Feng, Jian Chen, and Weihong Guo (2021) “Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos with Image Segmentation and Convolutional Neural Network,” AMSE Journal of Manufacturing Science and Engineering. 144(2): 021009, DOI: 10.1115/1.4051829.

• Shenghan Guo, Dali Wang, Zhili Feng, and Weihong Guo (2021) “UIR-Net: Object Detection in Infrared Imaging of Thermomechanical Processes in Automotive Manufacturing,” IEEE Transactions on Automation Science and Engineering. DOI: 10.1109/TASE.2021.3116040.

• Shenghan Guo, Weihong Guo, Amir Abolhassani, and Rajeev Kalamdani, (2021) “Nonparametric, Real-Time Detection of Process Deteriorations in Manufacturing with Parsimonious Smoothing,” IISE Transactions, 53(5), pp. 568-581, DOI: 10.1080/24725854.2020.1786195.

• Qi Tian, Shenghan Guo, Erika Melder, Linkan Bian, and Weihong “Grace” Guo (2021) “Deep Learning-based Data Fusion Method for In-Situ Porosity Detection in Laser-based Additive Manufacturing,” AMSE Journal of Manufacturing Science and Engineering. 143(4): 041011, DOI: 10.1115/1.4048957.

• Shenghan Guo, Mengfei Chen, Amir Abolhassani, Rajeev Kalamdani, and Weihong Guo (2021) “Identifying Manufacturing Operational Conditions by Unsupervised Feature Extraction and Ensemble Clustering,” Journal of Manufacturing Systems. 60, pp. 162-175, ISSN 0278-6125.

• Shenghan Guo, Weihong “Grace” Guo and Linkan Bian (2020) “Hierarchical Spatial-Temporal Modeling and Monitoring of Melt Pool Evolution in Laser-Based Additive Manufacturing,” IISE Transactions, 52(9), pp. 1-21, ISSN 2472-5854.

• Shenghan Guo and Weihong “Grace” Guo, (2020) “Process Monitoring and Fault Prediction in Multivariate Time Series Using Bag-of-Words,” IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2020.3026065.

• Weihong “Grace” Guo, Qi Tian, Shenghan Guo, Yuebin Guo (2020) “A physics-driven deep learning model for process-porosity causal relationship and porosity prediction with interpretability in laser metal deposition,” CIRP Annals, (69)1, pp. 205-208, ISSN 0007-8506.

• Shenghan Guo., Weihong Guo, Abolhassani, A., Kalamdani, R., Puchala, S., Januszczak, A., and Jalluri, C. (2019). “Manufacturing Process Monitoring with Nonparametric Change-Point Detection in Automotive Industry,” ASME Journal of Manufacturing Science and Engineering, 141(7): 071013.

• Weihong Guo, Shenghan Guo, H. Wang, X. Yu, A. Januszczak, and S. Suriano, (2017) “A Data-Driven Diagnostic System Utilizing Manufacturing Data Mining and Analytics,” SAE International Journal of Materials and Manufacturing, 10 (3), pp. 282-292, DOI: 10.4271/2017-01-0233.

• Jim Kyung-Soo Liew, Shenghan Guo and Tongli Zhang, (2017) “Tweet Sentiments and Crowd-Sourced Earnings Estimates as Valuable Sources of Information Around Earnings Releases,” The Journal of Alternative Investments, 19(3), pp. 7-26, DOI: 10.3905/jai.2017.19.3.007.

Conference proceedings:

• Hasnaa Ouidadi, Boyang Xu, and Shenghan Guo "Defect Segmentation from X-Ray Computed Tomography of Laser Powder Bed Fusion Parts: A Comparative Study among Machine Learning, Deep Learning, and Statistical Image Thresholding Methods." Proceedings of the ASME 2023 18th International Manufacturing Science and Engineering Conference. Volume 1: Additive Manufacturing. June 12–June 16, 2023. New Brunswick, NJ.

• Naichen Shi, Raed Al Kontar, and Shenghan Guo "Process Signature Characterization and Anomaly Detection with Personalized PCA in Laser Based Metal Additive Manufacturing." Proceedings of the ASME 2023 18th International Manufacturing Science and Engineering Conference. Volume 9: Quality & Reliability. June 12–June 16, 2023. New Brunswick, NJ.

• Shenghan Guo, Paul Paradise, Nicole Van Handel, and Dhruv Bhate “Image-Based Fractographic Pattern Recognition With Cluster Analysis.” Proceedings of the ASME 2022 17th International Manufacturing Science and Engineering Conference. Volume 2: Manufacturing Processes; Manufacturing Systems. June 27–July 1, 2022. West Lafayette, IN.

• Shenghan Guo, Dali Wang, Jian Chen, Zhili Feng, and Weihong Guo “Learning the Temporal Effect in Infrared Thermal Videos with Long Short-Term Memory for Quality Prediction in Resistance Spot Welding,” Proceedings of the ASME 2022 17th International Manufacturing Science and Engineering Conference. Volume 2: Manufacturing Processes; Manufacturing Systems. June 27–July 1, 2022, West Lafayette, IN.

• Weihong Guo, Jingyu Chen, Shenghan Guo and Jingjing Li, “Process Monitoring of Friction Stir Blind Riveting for Lightweight Materials”, Proceedings of the 2017 Industrial and Systems Engineering Conference.

• Shenghan Guo and James C. Spall, “Accuracy Analysis of Unbiased Estimations for Fisher Information in the Scalar Case,” Proceedings of the 2016 Joint Statistical Meeting (JSM 2016), July 30-Aug. 4, 2016, Chicago, IL.

• Shenghan Guo and James C. Spall, “Analysis of Data-Based Methods for Approximating Fisher Information in the Scalar Case,” Proceedings of the 49th Annual Conference on Information Sciences and Systems (CISS 2015), March 18-20, 2015, Baltimore, MD.

Book chapters:

• Shenghan Guo and James C. Spall, “Chapter 10. Relative Accuracy of Two Methods for Approximating Observed Fisher Information,” Data-Driven Modeling, Filtering and Control: Methods and Applications, (Control, Robotics & Sensors, 2019) DOI: IET Digital Library, https://digitallibrary.theiet.org/content/books/ce/pbce123e