Publications and Presentations

Published Articles

Rahman, M. H., Hayes, A., Muralidharan, K., Loy, D. A., & Shafae, M. (2024). Additive manufacturing of hydrogel-based lunar regolith pastes: A pathway toward in-situ resource utilization and in-space manufacturing. Journal of Manufacturing Processes, 118, 269-282. https://doi.org/10.1016/j.jmapro.2024.03.024.
Rahman, M. H., Hamedani, E.Y., Son, Y. J., & Shafae, M. S. (2024). Taxonomy-driven Graph-Theoretic Approach for Manufacturing Cybersecurity Risk Modeling and Assessment. ASME Journal of Computing and Information Science in Engineering, 24 (2024): 071003-1. https://doi.org/10.1115/1.4063729.
Rahman, M. H., Wuest, T., & Shafae, M. (2023). Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies. Journal of Manufacturing Systems, 68, 196–208. https://doi.org/https://doi.org/10.1016/j.jmsy.2023.03.009.
Lin, Y., Shao, S., Rahman, M.H., Shafae, M., & Satam, P. (2024). DT4I4-Secure: Digital Twin Framework for Industry 4.0 Systems Security. In 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE. http://dx.doi.org/10.1109/UEMCON59035.2023.10316090.
Hasan, N., Rahman, M. H., Wessman, A., Smith, T. M., & Shafae, M. (2023). Process Defects Knowledge Modeling in Laser Powder Bed Fusion Additive Manufacturing: An Ontological Framework, Manufacturing Letters, vol. 35, pp. 822-833. https://doi.org/10.1016/j.mfglet.2023.08.132.
Rahman, M. H., Shafae, M. S. (2022). Physics-based detection of cyber-attacks in manufacturing systems: a machining case study, Journal of Manufacturing Systems, 64, 676-683. https://doi.org/10.1016/j.jmsy.2022.04.012.
Rahman, M. H., Rifat, M., Azeem, A., & Ali, S. M. (2018). A quantitative model for disruptions mitigation in a supply chain considering random capacities and disruptions at supplier and retailer. International Journal of Management Science and Engineering Management, 13(4), 265-273. https://doi.org/10.1080/17509653.2018.1436009.
Rifat, M., Rahman, M. H., & Das, D. (2017). A review on application of nanofluid MQL in machining. In AIP Conference Proceedings (Vol. 1919, No. 1, p. 020015). https://doi.org/10.1063/1.5018533.

Preprints

Rahman, M. H., Cassandro, R., Wuest, T., & Shafae, M. (2024). Taxonomy for Cybersecurity Threat Attributes and Countermeasures in Smart Manufacturing Systems. https://doi.org/10.48550/arXiv.2401.01374.
Sikaroudi, A. M. E., & Rahman, M. H. (2020). Predictive process mining by network of classifiers and clusterers: the PEDF model. arXiv preprint. https://doi.org/10.48550/arXiv.2011.11136.

Presentations

Rahman, M. H., Son, Y. J., & Shafae, M. S. (2023). Taxonomy-driven Graph-theoretic Approach for Manufacturing Cybersecurity Risk Modeling and Assessment. INFORMS Annual Meeting, Phoenix, AZ.
Shafae, M. S., & Rahman, M. H. (2023). Advancing The Security of Cyber-physical Manufacturing Systems: Challenges and Opportunities. INFORMS Annual Meeting, Phoenix, AZ.
Rahman, M. H., Son, Y. J., & Shafae, M. (2023). Taxonomy-Driven Cyberattack Graphical Models for Cybersecurity Risk Modeling and Assessment in Smart Manufacturing Systems. IISE Annual Conference and Expo, New Orleans, LA.
Hasan, N., Rahman, M. H., Wessman, A., Smith, T. M., & Shafae, M. (2023). Process Defects Knowledge Modeling in Laser Powder Bed Fusion Additive Manufacturing: An Ontological Framework. IISE Annual Conference and Expo, New Orleans, LA.
Bushra, J., Budinoff, H. D., Rahman, M. H., & Shafae, M. S. (2022, July). Data-driven surrogate model for laser powder bed fusion part-process design. Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, TX.
Rahman, M. H., & Shafae, M. S. (2022, June). Physics-based Detection of Cyber-Attacks in Manufacturing Systems: A Machining Case Study. North American Manufacturing Research Conference (NAMRC), West Lafayette, IN.
Shafae, M. S., & Rahman, M. H. (2022, May). Advancing the Security of Cyber-Physical Manufacturing Systems: Challenges and Opportunities. IISE Annual Conference and Expo, Seattle, WA.
Rahman, M. H., & Shafae, M. S. (2022, May). Physics-based Attack Detection in Cyber-Physical Manufacturing Systems: A Machining Case Study. IISE Annual Conference and Expo, Seattle, WA.
Rahman, M. H., Hayes, A., Shafae, M. S., Muralidharan, K., & Loy, D. (2022, May). Establishing The Printability of Hydrogel-Based Lunar Regolith Pastes Using Material Extrusion Additive Manufacturing. IISE Annual Conference and Expo, Seattle, WA.
Shafae, M. S., & Rahman, M. H. (2021, November). Cybersecurity Framework for Vulnerabilities Identification and Mitigation in Cyber-Physical Manufacturing Systems. International Conference on Additive Manufacturing, Anaheim, CA.
Rahman, M. H., Hayes, A., Shafae, M. S., Muralidharan, K., & Loy, D. (2021, November). Investigating the Printability of Lunar Regolith-based Material with Gel-forming Polymers Using Extrusion-based Additive Manufacturing. International Conference on Additive Manufacturing, Anaheim, CA.
Rahman, M. H., Hayes, A., Shafae, M. S., Muralidharan, K., & Loy, D. (2021, May). Strategies for Lunar In Situ Resource Utilization through Lunar Regolith-based AM. IISE Annual Conference and Expo (virtual).
Rahman, M. H., & Shafae, M. S. (2020, November). Cybersecurity Framework for Vulnerabilities Identification and Mitigation in Cyber-Physical Manufacturing Systems. IISE Annual Conference and Expo (online).