Mohammed Shafae

Assistant Professor of Systems and Industrial Engineering
Member of the Graduate Faculty

Degrees

  • PhD Industrial and Systems Engineering
    • Virginia Tech, Blacksburg, Virginia, United States
    • Advancing the Utility of Manufacturing Data for Modeling, Monitoring, and Securing Machining Processes
  • MS Industrial and Systems Engineering
    • Virginia Tech, Blacksburg, Virginia, United States
  • MS Production Engineering
    • Alexandria University, Alexandria, Egypt
    • Simulation based Performance Evaluation and Enhancement in Call Centers
  • BS Production Engineering
    • Alexandria University, Alexandria, Egypt

Work Experience

  • The University of Arizona (2018 - Ongoing)

Interests

Research

Cyber-physical systems security; smart manufacturing systems; statistical process monitoring; manufacturing process data analytics (modeling, monitoring and diagnosis); advanced metrology systems data driven quality control

Selected Publications

Journals/Publications

  • Hasan, N., Saha, A. K., Wessman, A., & Shafae, M. (2024). Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data. Manufacturing Letters.
  • Rahman, M. H., Hamedani, E. Y., Son, Y., & Shafae, M. (2024). Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment. Journal of Computing and Information Science in Engineering, 24(7).
  • Rahman, M. H., Hayes, A. K., 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.
  • Hasan, N., Rahman, M. H., Wessman, A., Smith, T., & Shafae, M. (2023). Process Defects Knowledge Modeling in Laser Powder Bed Fusion Additive Manufacturing: An Ontological Framework. Manufacturing Letters, 35, 822-833.
  • 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.
  • Budinoff, H. D., & Shafae, M. (2022). Connecting part geometry and cost for metal powder bed fusion. The International Journal of Advanced Manufacturing Technology, 121(9), 6125-6136.
  • Dastoorian, R., Wells, L., & Shafae, M. (2022). Assessing the performance of control charts for detecting previously unexplored shift types in high density spatial data. Quality Engineering, 34(1), 125-141.
  • Rahman, M. H., & Shafae, M. (2022). Physics-based detection of cyber-attacks in manufacturing systems: A machining case study. Journal of Manufacturing Systems.
  • Budinoff, H. D., Bushra, J., & Shafae, M. (2021). Community-driven PPE production using additive manufacturing during the COVID-19 pandemic: Survey and lessons learned. Journal of Manufacturing Systems, 60, 799-810.
  • Shafae, M. S., Wells, L. J., & Camelio, J. A. (2021). Modeling in-process machining data using spatial point cloud vs. time series data structures. Procedia Manufacturing, 53, 44-51.
  • Shafae, M. S., Wells, L. J., & Purdy, G. T. (2019). Defending against product-oriented cyber-physical attacks on machining systems. The International Journal of Advanced Manufacturing Technology, 1-21.
  • Wells, L. J., Shafae, M. S., & Camelio, J. A. (2016). Automated Surface Defect Detection Using High-Density Data. Journal of Manufacturing Science and Engineering, 138(7), 071001-071001-10.
  • Shafae, M. S., Dickinson, R. M., Woodall, W. H., & Camelio, J. A. (2015). Cumulative Sum Control Charts for Monitoring Weibull-distributed Time Between Events. Quality and Reliability Engineering International, 31(5), 839-849.

Proceedings Publications

  • Lin, Y. -., Shao, S., Rahman, M. H., Shafae, M., & Satam, P. (2023, 2023). DT4I4-Secure: Digital Twin Framework for Industry 4.0 Systems Security. In 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 0200-0209.
  • Zhang, Y., Hasan, N., Middendorf, J., Spears, T., Smith, T., Zhang, F., Shafae, M., & Wessman, A. (2023, 2023). Correlating Alloy Inconel 718 Solidification Microstructure to Local Thermal History Using Laser Powder Bed Fusion Process Monitoring. In Proceedings of the 10th International Symposium on Superalloy 718 and Derivatives. TMS 2023. The Minerals, Metals & Materials Series., 595-611.
  • Wells, L. J., Shafae, M. S., & Camelio, J. A. (2013, 2013). Automated Part Inspection Using 3D Point Clouds. In The ASME 2013 International Manufacturing Science and Engineering Conference.

Awards

  • First Place in the ASCEND Propel Pitch Competition
    • American Institute of Aeronautics and Astronautics (AIAA) ASCEND conference, Fall 2020
  • Virginia Tech Teaching Excellence Award
    • Department of Industrial and Systems Engineering, Virginia Tech, Spring 2017
  • Harold Schneikert Graduate Fellowship
    • Department of Industrial and Systems Engineering, Virginia Tech, Spring 2016
  • David H. Burrows Graduate Fellowship
    • Department of Industrial and Systems Engineering, Virginia Tech, Fall 2015
  • Best Track Paper Award (Modeling and Simulation Track)
    • The Third International Conference 2012 on Industrial Engineering and Operations Management (IEOM), Summer I 2012
  • Prize for Excellence in Senior Design Project
    • Young Innovators Award Program, Cairo, Egypt, Summer I 2009