(1) Mamun, A. 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, 429-440. https://doi.org/10.1016/j.jmsy.2021.12.007

(2) Mamun, A. A., Bappy, M. M., Mudiyanselage, A. S., Li, J., Jiang, Z., Tian, Z., ... & 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, 124(3), 1321-1334. https://doi.org/10.1007/s00170-022-10525-4

(3) Mamun, A. A., Bappy, M. M., Bian, L., Fuller, S., Falls, T. C., & Tian, W†. (2023). Missing signal imputation for multi-channel sensing signals on rotary machinery by tensor factorization. Manufacturing Letters, 35, 1109-1118. https://doi.org/10.1016/j.mfglet.2023.08.097

(4) Mamun, A. A., Liu, C., Kan, C., & Tian, W†. (2021). Real-time process authentication for additive manufacturing processes based on in-situ video analysis. Procedia Manufacturing, 53, 697-704. https://doi.org/10.1016/j.promfg.2021.06.068

(5) Guerra-Zubiaga, D. A†., Mamun, A. A., & Gonzalez-Badillo, G. (2018). An energy consumption approach in a manufacturing process using design of experiments. International Journal of Computer Integrated Manufacturing, 31(11), 1067-1077. https://doi.org/10.1080/0951192X.2018.1493234

(6) Mamun, A. A., Bormon, K. K., Rasu, M. N. S., Talukder, A., Freeman, C†., Burch, R., & Chander, H. (2022). An assessment of energy and groundwater consumption of textile dyeing mills in Bangladesh and minimization of environmental impacts via long-term key performance indicators (KPI) baseline. Textiles, 2(4), 511-523. https://doi.org/10.3390/textiles2040029

(7) Mamun, A. A†., Nabi, M. M., Islam, F., Bappy, M. M., Uddin, M. A., Hossain, M. S., & Talukder, A. (2023). Streamline video-based automatic fabric pattern recognition using Bayesian-optimized convolutional neural network. The Journal of The Textile Institute, 1-14. https://doi.org/10.1080/00405000.2023.2269760

(8) Shi, Z., Mamun, A. A., Kan, C., Tian, W., & Liu, C†. (2023). An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing. Journal of Intelligent Manufacturing, 1-17. https://doi.org/10.1007/s10845-021-01879-9

(9) Senanayaka, A., Mamun, A. A., Bond, G., Tian, W., Wang, H., Fuller, S., ... & Bian, L†. (2022). Similarity-based multi-source transfer learning approach for time series classification. International Journal of Prognostics and Health Management, 13(2). https://doi.org/10.36001/ijphm.2022.v13i2.3267

(10) Mamun, A. A†., Uddin, M, A., Sayeed, M. A., Bappy, M. M., Talukder, A. (2024). Energy consumption modeling in industrial sewing operations: A case study on carbon footprint measurement in the apparel industry. Manufacturing Letters 41S (2024) pp. 1635-1644. https://doi.org/10.1016/j.mfglet.2024.09.190 

(11) Nguimfack, R., Bappy, M. M., Mamun, A. A., Bian, L., Tian, W†. (2024). Domain adaptation of time series data collected from heterogenous sensors-a case Study on real-time rotary machinery fault diagnosis. Manufacturing Letters  41S (2024) pp. 1535-1543.

https://doi.org/10.1016/j.mfglet.2024.09.180 

(12) Mamun, A. A†., Guerra-Zubiaga, D. A., Peng, Y. (2024). Smart systems for real-time bearing faults diagnosis by using vibro-acoustic sensor fusion with Bayesian optimized 1-D CNNs. Nondestructive Testing and Evaluation (2024): 1-25. https://doi.org/10.1080/10589759.2024.2375567 

(13) Mamun, A. A†., Islam, M, I., Sayeed, M. A., Al-Kouz, W., Noor, A. (2024). Multilinear principal component analysis-based tensor decomposition for real-time fabric weave pattern recognition from high-dimensional streaming data. Pattern Analysis and Applications 27, 100 (2024). https://doi.org/10.1007/s10044-024-01318-4

(14) Mamun, A. A†., S., Uddin, M. A., Kim, T., Bappy, M. M. (2024). Analysis of GLCM-feature-based dimensionality reduction and feature extraction methods for classifying fabric design patterns by using video data. Fibers and Polymers. (under review). 

(15) Sayam, M. A., Mamun, A. A†. (2024). A brief review of 3D printing technologies and materials used in smart textiles. Progress in Additive Manufacturing. (under review). 

(16) Amin, M. A†., Talukder, A., Mamun, A. A., Sultana, N. (2024).  Effect of COVID-19 and Russo-Ukraine war on global fashion and textile supply chain: a content analysis. The Singapore Economic Review.

(17) Sayam, M. A., Mamun, A. A†., & Noor, A. (2024). A comprehensive review on noise-induced hearing loss among textile workers around the world.

(18) Mamun, A. A†., Sealy, W., & McClain, M. (2024). Advancing the cyber-physical security of additive manufacturing through dual monitoring systems. 

(19) Mamun, A. A†., Pan, D., & Zhou, R. (2024). Extrusion multiplier effect of voids and rasterization of 3D-FFF.  

(20) Mamun, A. A†., S., Uddin, M. A., Kim, T., Bappy, M. M. (2024). Fabric pattern feature missingness imputation of by using fully Bayesian CANDECOMP/PARAFAC tensor completion. 

(1) Mamun, A. A., Bappy, M. M., Fuller, S., Falls, T.C., Bian, L., Tian, W. † (2021). Heterogeneous sensor fusion for in-situ condition monitoring of rotary machines. IISE annual conference.

(2) Mamun, A. A., Bian, L., & Tian, W. † (2020). Thermal modeling for direct laser deposition processes via Transfer Learning. IISE annual conference.

(3) Tian, W., † Liu, C., & Mamun, A. A. (2020). Process authentication for additive manufacturing processes based on in-situ video analysis. INFORMS.

(4) Zambrano Degan, B., Franco Barbosa, G Guerra-Zubiaga, D. A., † Nasajpour-Esfahani, N., & Mamun, A. A. (2020, November). 3D digital manufacturing applied on drilling of 7050-T651 aluminum performed by robot. In ASME International Mechanical Engineering Congress and Exposition (Vol. 84492, p. V02BT02A011). American Society of Mechanical Engineers. https://doi.org/10.1115/IMECE2020-23507

(5) Guerra-Zubiaga, D. A., † Heiling, D., Onadipe, O., Katuwal, R. K., Dhital, P., & Mamun, A. A. (2015, November). Tacit Knowledge Reuse in a Next Generation Sustainable Manufacturing Process. In ASME International Mechanical Engineering Congress and Exposition (Vol. 57366, p. V02BT02A059). American Society of Mechanical Engineers. https://doi.org/10.1115/IMECE2015-53745

(1) Smith, O., Mamun, A. A., & Tian, W. “Metal FFF quality assurance and certification based on in-situ layer-wise image analysis” IISE Southeast Regional Student Conference (2024).  Won the Best Technical Paper award.

(2) Mamun, A. A. “Real-time fabric pattern recognition using Bayesian Optimized Deep Learning method.” Research Symposium, University of North Alabama, (2023).

(3) Mamun, A. A., & Tian, W. “Vibro-acoustics sensor fusion for in-situ bearing fault diagnosis by frequency-domain multilinear principal component analysis.” Graduate Research Symposium, Mississippi State University, (2023).

(4) Mamun, A. A., & Tian, W. “Real-time Process authentication for Additive Manufacturing processes based on in-situ video   analysis.” Graduate Research Symposium, Mississippi State University, (2021).

(5) Mamun, A. A., & Tian, W. “An approach of Additive Manufacturing process validation using layer-wise texture analysis based on real-time video capturing.” Southeastern Additive Manufacturing Symposium, (2021).