Qasaimeh, Q*., Li, H., Hamasha, S., Liu, J. (2025), “A Machine Learning Framework with Shapley’s Additive Explanations to Assess Solder Joint Reliability for Electronic Packaging”, Journal of Electronic Materials, 54, 7586–7608, DOI:10.1007/s11664-025-12101-4.
Hossain, M., Silva, D., Vinel, A., West, B., Shamsaei, N., Liu, J. (2025), “Investigation of Inconel 718 powder flowability for laser beam powder bed fusion using physics-informed machine learning framework”, Powder Metallurgy, DOI:10.1177/00325899251339973.
Mahmood, S., Baugh, L., Lee, S., Ahmad, N., Silva, D., Vinel, A., Liu, J., Shao, S., Shamsaei, N., Jackson, R., Schulze, K. (2025), “A comparative analysis of non-destructive surface topography measurement techniques for additively manufactured metal parts”, Additive Manufacturing, 105, 104791, DOI: 10.1016/j.addma.2025.104791.
Ahmad, N., Irfan, S.*, Maleki, E., Lee, S., Liu, J., Shao, S., Shamsaei, S. (2025), “Determining critical surface features affecting fatigue behavior of additively manufactured Ti-6Al-4V”, International Journal of Fatigue, 197, 108956, DOI: 10.1016/j.ijfatigue.2025.108956.
Qasaimeh, Q*., Liu, J., Qasaimeh, A., Evans, J., Hamasha, S. (2025), “Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages”, Journal of Intelligent Manufacturing, DOI: 10.1007/s10845-025-02564-x.
Nikfar, M., Irfan, S.*, Baugh, L., Mahood, S., Ahmad, N., Liu., J., et al. (2025), “On extreme value theory-based estimation of surface quality for metal additive manufacturing”, Progress in Additive Manufacturing, DOI:10.1007/s40964-025-00998-6.
Haynes, K., Harris, G., Schall, M., Liu, J., Davis, J. (2024), “Gauging the Technology Acceptance of Manufacturing Employees: A New Measure for Pre-Implementation”, Sustainability, 16(12), 4969.
Li, A.*, Poudel, A., Shao, S., Shamsaei, N., Liu, J. (2024), “Nondestructive Fatigue Life Prediction for Additively Manufactured Metal Parts through a Multimodal Transfer Learning Framework”, IISE Transactions, 1-16.
Liu, J., Ye, J.*, Silva, D., Vinel, A., Shamsaei, N., Shao, S. (2023), “A Review of Machine Learning Techniques for Process and Performance Optimization in Laser Beam Powder Bed Fusion Additive Manufacturing”, Journal of Intelligent Manufacturing, 34 (8), 3249-3275.
Ye, J.*, Poudel, A., Liu, J., Vinel, A., Silva, D., Shao, S., Shamsaei, N., (2023), “Machine Learning Augmented X-Ray Computed Tomography Features for Volumetric Defect Classification in Laser Beam Powder Bed Fusion”, International Journal of Advanced Manufacturing Technology, 126 (7), 3093-3107.
Gu, Z., Zhu, R., Shen, T., Lin, D., Liu, H., Liu, Y., Liu, X., Liu, J., Zhuang, S., Gu, F. (2023), “Autonomous Nanorobots with Powerful Thrust under Dry Solid-contact Conditions by Photothermal Shock”, Nature Communications, 14 (1), 7663.
Gao, T.*, Li, A.*, Zhang, X., Harris, G., Liu, J. (2023), “A Data-driven Process-quality-property Analytical Framework for Conductive Composites in Additive Manufacturing”, Manufacturing Letters, 35, 626-635.
Jayswal, A., Liu, J., Harris, G., Mailen, R., Adanur, S., (2023), “Creep Behavior of 3D Printed Polymer Composites”, Polymer Engineering and Science, 63 (11), 3809-3818.
Jayswal, A., Liu, J., Harris, G., Adanur, S. (2023), “Thermo-mechanical Properties of Composite Filaments for 3D Printing of Fabrics”, Journal of Thermoplastic Composite Materials, 36 (12), 4800-4825.
Jayswal, A., Mailen, R., Liu, J., Harris, G., Siwakoti, M., Adanur, S. (2023), “Thermo-mechanical Behavior of 3D Printed Fabric Structures”, Polymer Engineering and Science, 63, 1725-1736.
Liu, J., Ye, J.*, Momin, F., Zhang, X., Li, A*. (2022), “Nonparametric Bayesian framework for material and process optimization with nanocomposite fused filament fabrication”, Additive Manufacturing, 54, 102765.
Poudel, A., Yasin, M., Ye, J.*, Liu, J., Vinel, A., Shao, S., Shamsaei, N. (2022), “Feature-based Volumetric Defect Classification in Metal Additive Manufacturing”, Nature Communications, 13 (1), 6369.
Li, A.*, Baig, S., Liu, J., Shao, S., Shamsaei, N. (2022), “Defect Criticality Analysis on Fatigue Life of L-PBF 17-4 PH Stainless Steel via Machine Learning”, International Journal of Fatigue, 163, 107018.
Osho, J., Hyre, A., Pantelidakis, M., Ledford, A., Harris, G., Liu, J., Mykoniatis, K. (2022), “Four Rs Framework for the Development of a Digital Twin: The Implementation of Representation with an FDM Manufacturing Machine”, Journal of Manufacturing Systems, 63, 370-380.
Pantelidakis, M., Mykoniatis, K., Liu, J., Harris, G. (2022), “A Digital Twin Ecosystem for Additive Manufacturing Using a Real-time Development Platform”, International Journal of Advanced Manufacturing Technology, 120 (9), 6547-6563.
Hyre, A., Harris, G., Osho, J., Pantelidakis, M., Ledford, A., Mykoniatis, K., Liu, J. (2022), “Digital Twins: Representation, Replication, Reality, and Relational (4Rs)”, Manufacturing Letters, 31, 20-23.
Ali, H., Ahmed, A., Matus, C., Liu, J. (2022), “Mitigating Urinary Incontinence Condition Using Machine Learning”, BMC Medical Informatics and Decision Making, 22 (1), 243.
Gao, Y., Cao, Z., Liu, J., Zhang, J. (2021), “A Novel Dynamic Brain Network in Arousal for Brain States and Emotion Analysis”, Mathematical Biosciences and Engineering, 18 (6), 7440-7463.
Gao, Y., Gao, B., Chen, Q., Liu, J., Zhang, Y. (2020), “Deep Convolutional Neural Networks based Epileptic Electroencephalogram (EEG) Signal Classification”, Frontiers in Neurology, 11, 375.
Liu, J., Zheng, J., Rao. P., Kong, Z. (2020), “Machine Learning Driven In-situ Process Monitoring with Vibration Frequency Spectra for Chemical Mechanical Planarization”, International Journal of Advanced Manufacturing Technology, 111 (7), 1873-1888.
Liu, J., Liu, C., Bai, Y., Rao. P., Williams, C., Kong, Z. (2019), “Layer-wise Spatial Modeling of Porosity in Additive Manufacturing”, IISE Transactions, 51(2), 109-123. Featured by ISE Magazine, Vol. 51, No. 1, January 2019
Liu, J., Jin, R., Kong, Z. (2018), “Wafer Quality Monitoring using Spatial Dirichlet Process based Mixed-effect Profile Modeling Scheme”, Journal of Manufacturing Systems, 48, 21-32.
Liu, J., Beyca, O., Rao, P., Kong, Z., Bukkapatnam, S. (2016), “Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization”, IEEE Transactions on Automation Science and Engineering, 14 (1), 208-221.
Rao, P., Liu, J., Roberson, D., Kong, Z. (2015), “Online Real-time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors”, ASME Trans Journal of Manufacturing Science and Engineering, 137 (6), 1007-1 – 1007-12.
Yu, Z., Wang, L., Liu, J. (2013), “A General Steel Hardenability Calculation Method”, Advanced Materials Research, 816, 140-143.
Conference Proceedings
Qasaimeh, Q.*, Li, H., Hamasha, S., Evans, J., Liu, J. (2024), “Interpretable Machine Learning Models Can Outperform Statistical Models in Solder Joint Reliability”, 23rd IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, Aurora, CO, USA, May 28-31, 2024.
Liu, J., Qasaimeh, Q.* (2024), “Physics-Informed Machine Learning for Solder Design and Reliability Prediction for Electronics”, Proceedings of 2024 Pan Pacific Strategic Electronics Symposium (Pan Pacific), Kona, Big Island, HI, USA, Jan 29 – Feb 1, 2024.
Pantelidakis, M., Katsigiannis, M., Mykoniatis, K., Purdy, G., Liu, J. (2023), “Condition monitoring for Overall Equipment Effectiveness using Internet of Things, Edge Computing, and Extended Reality”, IEEE Conference Proceedings of the 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023), Tenerife-canary Islands, Spain, Jul 19-20, 2023.
Gao, T.*, Li, A., Zhang, X., Harris, G., Liu, J. (2023), “A Data-driven Process-Quality-Property Analytical Framework for Conductive Composites in Additive Manufacturing”, SME NAMRC 51, New Brunswick, NJ, Jun 12-16, 2023.
Qasaimeh, Q.*, Liu, J., Qasaimeh, A., Evans, J., Hamasha, S. (2023), “Predicting the Fatigue Life of the Solder Joints in Electronic Assemblies using Physics-informed Data-driven Methodology”, 22nd IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, Orlando, FL, May 30 – Jun 2, 2023.
Li, A.*, Liu, J., Shao, S., Shamsaei, N. (2022), “Defects Classification via Hierarchical Graph Convolutional Network in L-PBF Additive Manufacturing”, Proceedings of the 2022 Annual International Solid Freeform Fabrication Symposium, Austin, TX, Jul 22-27, 2022.
Osho, J., Hyre, A., Pantelidakis, M., Ledford, A., Harris, G., Liu, J., Mykoniatis, K. (2022) “Four Rs Framework for the Development of a Digital Twin: The Implementation of Representation with an FDM Manufacturing Machine”, SME NAMRC 50, West Lafayette, IN, Jun 27-Jul 1, 2022.
Ye, J.*, Yasin, M., Liu, J., Vinel, A., Silva, D., Shamsaei, N., Shao, S. (2021), “Bayesian Process Optimization for Additively Manufactured Nitinol”, Proceedings of the 2021 Annual International Solid Freeform Fabrication Symposium, Virtual, Aug 2-4, 2021.
Abolmaali, S., Vinel, A., Fox, J., Liu, J., Silva, D., Shamsaei, N. (2021), “Location and Orientation Dependency in Surface Roughness of Nickel Super Alloy 625 Parts: Statistical and Distributional Analysis”, Proceedings of the 2021 Annual International Solid Freeform Fabrication Symposium, Virtual, Aug 2-4, 2021.
Hossain, M.*, Silva, D., Vinel, A., Liu, J., Shamsaei, N. (2021), “Powder Features Affecting Structural and Mechanical Properties of Additively Manufactured Inconel 718: A Machine Learning Analysis”, Proceedings of the 2021 Annual International Solid Freeform Fabrication Symposium, Virtual, Aug 2-4, 2021.
Rao, P., Liu, J., Roberson, D., Kong, Z., Williams, C. (2015), “Sensor-based Online Process Fault Detection in Additive Manufacturing”, Proceedings of the ASME 2015 10th International Manufacturing Science and Engineering Conference, Charlotte, NC, Jun 8-12, 2015.
Liu, J., Sun, Y. (2013), “Multivariate Statistical Process Monitoring Scheme with PLS and SVDD”, Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, Baotou, China, Aug 17-18, 2013.
Liu, J., Sun, Y., Xu, H., Yu, Z. (2013), “PCA-based Weighted Similarity Calculation Algorithm for Steel Materials Matching”, Proceedings of 32nd Chinese Control Conference, Xi’an, China, Jul 26-28, 2013.
