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. (Accepted).
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.
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. Journal of Manufacturing Science and Engineering, April 2022; 144(4): 041004.
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)
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, Accepted.
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.
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.
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. Journal of Manufacturing Science and Engineering, 144(11):111007.
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).
Mamun, A.*, Bappy, M.*, Senanayaka, A., Li, J., Jiang, Z., Tian, Z., Fuller, S., Falls, T., Bian, L., & Tian, W. (2022) Multi-channel sensor fusion for real-time bearing fault diagnosis by frequency-domain multilinear principal component analysis. The International Journal of Advanced Manufacturing Technology. Accepted.
Fullington, D.*, Bian, L., & Tian, W. (2022) Design De-identification of Thermal History for Collaborative Process-defect Modeling of Metal-based Additive Manufacturing. Journal of Manufacturing Science and Engineering. 145(5), 051004. (QCRE Best Student Poster Competition at IISE 2022)
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. Journal of Manufacturing Science and Engineering. Accepted.
Senanayaka, A., Tian, W., Falls, T., & Bian, L. (2023) Understanding the Effects of Process Conditions on Thermal-Defect Relationship: A Transfer Machine Learning Approach. Journal of Manufacturing Science and Engineering. Accepted.
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. Accepted.
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. Accepted.
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. Accepted.
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. Accepted.
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. Accepted.
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. Accepted.