Tian, W., Sun, H., Zhang, X., & 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.
Loizou, J., Tian, W., Robertson, J., & Camelio, J. A. (2015). Automated Wear Characterization for Broaching Tools Based on Machine Vision Systems. Journal of Manufacturing Systems, 37, 558-563.
Tian, W., Jin, R., Huang, T., & Camelio, J. A. (2017). Statistical Process Control for Multistage Processes with Non-repeating Cyclic Profile Outputs. IISE Transactions, 49(3), pp.320-331. (Finalist of the Best Paper Award of the IISE Process Industry Division in 2014)
Khanzadeh, M., Tian, W., Yadollahi, A., Doude, H.R., Tschopp, M.A. & Bian, L. (2018) Dual process monitoring of metal-based additive manufacturing using tensor decomposition of thermal image streams. Additive Manufacturing, 23, 443-456.
Komolafe, T., Tian, W., Purdy, G. T., Albakri, M., Tarazaga, P., & Camelio, J. (2019). Repeatable part authentication using impedance based analysis for side-channel monitoring. Journal of Manufacturing Systems, 51, 42-51.
Seifi, S. H., Tian, W., Doude, H., Tschopp, M. A., & Bian, L. (2019). Layer-wise modeling and anomaly detection for laser-based additive manufacturing. Journal of Manufacturing Science and Engineering, 1-36.
Jafari-Marandi, R., Khanzadeh, M., Tian, W., Smith, B., & Bian, L. (2019). From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing. Journal of Manufacturing Systems, 51, 29-41.
Tian, W., Ma, J., & Alizadeh, M. (2019). Energy consumption optimization with geometric accuracy consideration for fused filament fabrication processes. The International Journal of Advanced Manufacturing Technology, 1-11.
Alizadeh, M., Esfahani, M. N.*, Tian, W., & Ma, J. (2020). Data-Driven Energy Efficiency and Part Geometric Accuracy Modeling and Optimization of Green Fused Filament Fabrication Processes. Journal of Mechanical Design, 142(4).
Chen, W., Nichols, L., Brinkley, F., Bohna, K.*, Tian, W., Priddy, M., & Priddy, L. (2020) Alkali treatment facilitates functional nano-hydroxyapatite coating of 3D printed polylactic acid scaffolds. Materials Science & Engineering C, 111686.
Shelly, Z., Burch, R., Tian, W., Strawderman, L., Piroli, A., & Bichey, C. (2020). Using K-means Clustering to Create Training Groups for Elite American Football Student-athletes Based on Game Demands. International Journal of Kinesiology & Sports Science. Accepted.
Ye, Z., Liu, C., Tian, W., & Kan, C. (2021). In-situ point cloud fusion for layer-wise monitoring of additive manufacturing. Journal of Manufacturing Systems, 61, 210-222.
Foroutan, M.*, Goodin, C., & Tian, W. (2021). Assessing Impact of Understory Vegetation Density on Solid Obstacle Detection for Off-road Autonomous Ground Vehicles. ASME Letters in Dynamic Systems and Control. April 2021; 1(2): 021008.
Joshi, S., Hamilton, M., Warren, R., Faucett, D., Tian, W., Wang, Y. and Ma, J., (2021) Implementing Virtual Reality technology for safety training in the precast/prestressed concrete industry. Applied ergonomics, 90, p.103286.
Shi, Z., Kan, C., Tian, W., & Liu, C. (2021). A Blockchain-Based G-Code Protection Approach for Cyber-Physical Security in Additive Manufacturing. Journal of Computing and Information Science in Engineering, 21(4), 041007.
Li, Y., Shi, Z., Liu C., Tian, W., Kong, Z., & Williams, C. (2021) Augmented Time Regularized Generative Adversarial Network (ATR-GAN) and Its Applications for Online Process Anomaly Detection in Additive Manufacturing. IEEE Transactions on Automation Science and Engineering, 19(4), 3338 - 3355. DOI: 10.1109/TASE.2021.3118635
Seifi, S.H., Yadollahi, A., Tian, W., Doude, H., Hammond, V.H. and Bian, L. (2021) In Situ Nondestructive Fatigue‐Life Prediction of Additive Manufactured Parts by Establishing a Process–Defect–Property Relationship. Advanced Intelligent Systems, p.2000268. DOI: https://doi.org/10.1002/aisy.202000268
Khanzadeh, M., Dantin, M., Tian, W., Priddy, M.W., Doude, H. and Bian, L. (2022) Fast Prediction of Thermal Data Stream for Direct Laser Deposition Processes Using Network-Based Tensor Regression. ASME Journal of Manufacturing Science and Engineering, April 2022; 144(4): 041004. DOI: https://doi.org/10.1115/1.4052207
Mamun, A.*, Liu, C., Kan, C., Tian, W. (2022) Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis. Journal of Manufacturing Systems, 62:429-40. (Finalist of the Student Research Presentation Competition, NAMRC 49) DOI: https://doi.org/10.1016/j.jmsy.2021.12.007
Shi, Z., Mamun, A.*, Kan, C., Tian, W. and Liu, C. (2022) An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing. Journal of Intelligent Manufacturing, 34: 1815–1831. DOI: https://doi.org/10.1007/s10845-021-01879-9
Esfahani, M. N.*, Bappy, M.*, Bian, L., & Tian, W. (2022) In-situ Layer-wise Certification for Direct Laser Deposition Processes based on Thermal Image Series Analysis. Journal of Manufacturing Processes, 75: 895-902. DOI: https://doi.org/10.1016/j.jmapro.2021.12.041
Liu, C., Tian, W., & Kan, C. (2022) When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development. Journal of Manufacturing Systems, 64: 648-656. DOI: https://doi.org/10.1016/j.jmsy.2022.04.010
Bappy, M.*, Liu, C., Bian, L. & Tian, W. (2022) Morphological Dynamics-based Anomaly Detection towards In-situ Layer-wise Certification for Directed Energy Deposition Processes. ASME Journal of Manufacturing Science and Engineering, 144(11):111007. DOI: https://doi.org/10.1115/1.4054805
Senanayaka, A., Mamun, A.*, Bond, G., Tian, W., Wang, H., Fuller, S., Falls, T.C., Rahimi, S. & Bian, L. (2022) Similarity-based Multi-source Transfer Learning Approach for Time Series Classification. International Journal of Prognostics and Health Management, 13(2). DOI: https://doi.org/10.36001/ijphm.2022.v13i2.3267
Mamun, A.*, Bappy, M.*, Senanayaka, A., Li, J., Jiang, Z., Tian, Z., Fuller, S., Falls, T., Bian, L., & Tian, W. (2023) Multi-channel sensor fusion for real-time bearing fault diagnosis by frequency-domain multilinear principal component analysis. The International Journal of Advanced Manufacturing Technology, 124(3), pp.1321-1334. DOI: https://doi.org/10.1007/s00170-022-10525-4
Fullington, D.*, Bian, L., & Tian, W. (2023) Design De-identification of Thermal History for Collaborative Process-defect Modeling of Metal-based Additive Manufacturing. ASME Journal of Manufacturing Science and Engineering, 145(5), 051004. (QCRE Best Student Poster Competition at IISE 2022) DOI: https://doi.org/10.1115/1.4056488
Zamiela, C., Bian, L., Jiang, Z., Stokes, R., Tian, W., Tian, Z., Netchaev, A., & Dickerson, C. (2023) Deep Multi-Modal U-Net Fusion Methodology of Thermal and Ultrasonic Images for Porosity Detection in Additive Manufacturing. ASME Journal of Manufacturing Science and Engineering, 145(6): 061009. DOI: https://doi.org/10.1115/1.4056873
Senanayaka, A., Tian, W., Falls, T., & Bian, L. (2023) Understanding the Effects of Process Conditions on Thermal-Defect Relationship: A Transfer Machine Learning Approach. ASME Journal of Manufacturing Science and Engineering, 145(7): 071010. DOI: https://doi.org/10.1115/1.4057052
Bappy, M.*, Fullington, D.*, Bian, L., & Tian, W. (2023) Evaluation of Design Information Disclosure through Thermal Feature Extraction in Metal based Additive Manufacturing. Manufacturing Letters. 36, 86-90. DOI: https://doi.org/10.1016/j.mfglet.2023.03.004
Shi, Z., Tian, W., Kan, C., & Liu, C. (2023) Sensor Data Protection through Integration of Blockchain and Camouflaged Encryption in Cyber-physical Manufacturing Systems. ASME Journal of Computing and Information Science in Engineering. Jul 2024, 24(7): 071004. DOI: https://doi.org/10.1115/1.4063859
Zamiela, C., Tian, W., Guo, S., & Bian, L. (2023) Thermal-Porosity Characterization Data of Additively Manufactured Ti–6Al–4V Thin-walled Structure via Laser Engineered Net Shaping. Data in Brief. 2023 Dec 1; 51: 109722. DOI: https://doi.org/10.1016/j.dib.2023.109722
Yangue, E., Fullington, D.*, Smith, O.*, Tian, W., & Liu, C. (2024) Diffusion generative model-based learning for smart layer-wise monitoring of additive manufacturing. ASME Journal of Computing and Information Science in Engineering. Jun 2024, 24(6): 060903. DOI: https://doi.org/10.1115/1.4065092
Fullington, D.*, Yangue, E., Bappy, M.*, Liu, C., & Tian, W. (2024) Leveraging Small-scale Datasets for Additive Manufacturing Process Modeling and Part Certification: Current Practice and Remaining Gaps. Journal of Manufacturing Systems. 2024, 75: 306-321. DOI: https://doi.org/10.1016/j.jmsy.2024.04.021
Zamiela, C., Stokes, R., Tian, W., Doude, H., Priddy, M., & Bian, L. (2024) Physics-Informed Approximation of Internal Thermal History for Surface Deformation Predictions in Wire Arc Directed Energy Deposition. ASME Journal of Manufacturing Science and Engineering. Aug 2024, 146(8): 081007. DOI: https://doi.org/10.1115/1.4065416
Bappy, M.*, Van Epps, E.*, Priddy, L.B. and Tian, W. (2024) Parameter optimization for accurate and repeatable strut width in the 3D printing of composite bone scaffolds. Journal of Manufacturing Processes, 131: 1631-1641. DOI: https://doi.org/10.1016/j.jmapro.2024.09.057
Bappy, M.*, Fullington, D.*, Bian, L., & Tian, W. (2024) Adaptive Thermal History Deidentification for Privacy-preserving Process-defect Modeling of Metal Additive Manufacturing. ASME Journal of Computing and Information Science in Engineering. Accepted.