| Cumulative sum control charts for monitoring Weibull‐distributed time between events MS Shafae, RM Dickinson, WH Woodall, JA Camelio Quality and Reliability Engineering International 31 (5), 839-849, 2015 | 55 | 2015 |
| Automated surface defect detection using high-density data LJ Wells, MS Shafae, JA Camelio Journal of Manufacturing Science and Engineering 138 (7), 071001, 2016 | 30 | 2016 |
| Defending against product-oriented cyber-physical attacks on machining systems MS Shafae, LJ Wells, GT Purdy The International Journal of Advanced Manufacturing Technology 105, 3829-3850, 2019 | 21 | 2019 |
| Community-driven PPE production using additive manufacturing during the COVID-19 pandemic: Survey and lessons learned HD Budinoff, J Bushra, M Shafae Journal of manufacturing systems 60, 799-810, 2021 | 18 | 2021 |
| Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies MH Rahman, T Wuest, M Shafae Journal of Manufacturing Systems 68, 196-208, 2023 | 12 | 2023 |
| Physics-based detection of cyber-attacks in manufacturing systems: A machining case study MH Rahman, M Shafae Journal of Manufacturing Systems 64, 676-683, 2022 | 11 | 2022 |
| Automated part inspection using 3D point clouds LJ Wells, MS Shafae, JA Camelio International Manufacturing Science and Engineering Conference 55461 …, 2013 | 7 | 2013 |
| Connecting part geometry and cost for metal powder bed fusion HD Budinoff, M Shafae The International Journal of Advanced Manufacturing Technology 121 (9), 6125 …, 2022 | 6 | 2022 |
| Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment E Yazdandoost, YJ Son, M Shafae Journal of Computing and Information Science in Engineering 24, 071003-1, 2024 | 4* | 2024 |
| Process Defects Knowledge Modeling in Laser Powder Bed Fusion Additive Manufacturing: An Ontological Framework N Hasan, MH Rahman, A Wessman, T Smith, M Shafae Manufacturing Letters 35, 822-833, 2023 | 3 | 2023 |
| Advancing the Utility of Manufacturing Data for Modeling, Monitoring, and Securing Machining Processes MSA Shafae Virginia Tech, 2018 | 3 | 2018 |
| DT4I4-Secure: Digital Twin Framework for Industry 4.0 Systems Security YZ Lin, S Shao, MH Rahman, M Shafae, P Satam 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile …, 2023 | 2 | 2023 |
| Correlating Alloy Inconel 718 Solidification Microstructure to Local Thermal History Using Laser Powder Bed Fusion Process Monitoring Y Zhang, N Hasan, J Middendorf, T Spears, T Smith, F Zhang, M Shafae, ... TMS Annual Meeting & Exhibition, 595-611, 2023 | 2 | 2023 |
| Sensor signal prediction at unreported time periods B Zhang, S Asthana, A Megahed, A Elwany, MSA Shafae US Patent 11,423,051, 2022 | 2 | 2022 |
| Assessing the performance of control charts for detecting previously unexplored shift types in high density spatial data R Dastoorian, L Wells, M Shafae Quality Engineering 34 (1), 125-141, 2022 | 2 | 2022 |
| Stochastic Data Analysis and Modeling of a Telephone Call Center MS Shafae, MH Elwany, MN Fors, Y Abouelseoud Alexandria University, Production Engineering Department. Alexandria …, 2012 | 1 | 2012 |
| Additive manufacturing of hydrogel-based lunar regolith pastes: A pathway toward in-situ resource utilization and in-space manufacturing MH Rahman, AK Hayes, K Muralidharan, DA Loy, M Shafae Journal of Manufacturing Processes 118, 269-282, 2024 | | 2024 |
| Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data N Hasan, AK Saha, A Wessman, M Shafae arXiv preprint arXiv:2403.13861, 2024 | | 2024 |
| Taxonomy for Cybersecurity Threat Attributes and Countermeasures in Smart Manufacturing Systems MH Rahman, R Cassandro, T Wuest, M Shafae arXiv preprint arXiv:2401.01374, 2023 | | 2023 |
| Smart Manufacturing Modeling, Monitoring and Security: Challenges and Opportunities M Shafae IISE Annual Conference and Expo, 2023 | | 2023 |
Md Habibor RahmanPhD Candidate, University of ArizonaVerified email at arizona.edu
