Mohammed Shafae
- Assistant Professor, Systems and Industrial Engineering
- Member of the Graduate Faculty
Contact
- (520) 621-0525
- Engineering, Rm. 317
- Tucson, AZ 85721
- shafae1@arizona.edu
Degrees
- Ph.D. Industrial and Systems Engineering
- Virginia Tech, Blacksburg, Virginia, United States
- Advancing the Utility of Manufacturing Data for Modeling, Monitoring, and Securing Machining Processes
- M.S. Industrial and Systems Engineering
- Virginia Tech, Blacksburg, Virginia, United States
- M.S. Production Engineering
- Alexandria University, Alexandria, Egypt
- Simulation based Performance Evaluation and Enhancement in Call Centers
- B.S. Production Engineering
- Alexandria University, Alexandria, Egypt
Work Experience
- The University of Arizona (2018 - Ongoing)
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 (Award Nominee)
- 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 2012
- Prize for Excellence in Senior Design Project
- Young Innovators Award Program, Cairo, Egypt, Summer 2009
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
Courses
2023-24 Courses
-
Dissertation
SIE 920 (Fall 2023) -
Doctoral
SIE 695A (Fall 2023)
2022-23 Courses
-
Dissertation
SIE 920 (Spring 2023) -
Engineering Management I
ENGR 265 (Spring 2023) -
Engineering Management I
SIE 265 (Spring 2023) -
Research
SIE 900 (Spring 2023) -
SIE Sophomore Colloq
SIE 295S (Spring 2023) -
Dissertation
SIE 920 (Fall 2022) -
Doctoral
SIE 695A (Fall 2022) -
Research
SIE 900 (Fall 2022)
2021-22 Courses
-
Dissertation
SIE 920 (Spring 2022) -
Engineering Management I
ENGR 265 (Spring 2022) -
Engineering Management I
SIE 265 (Spring 2022) -
Research
SIE 900 (Spring 2022) -
SIE Sophomore Colloq
SIE 295S (Spring 2022) -
Directed Research
SIE 492 (Fall 2021) -
Dissertation
SIE 920 (Fall 2021) -
Doctoral
SIE 695A (Fall 2021) -
Research
SIE 900 (Fall 2021)
2020-21 Courses
-
Dissertation
SIE 920 (Spring 2021) -
Engineering Management I
ENGR 265 (Spring 2021) -
Engineering Management I
SIE 265 (Spring 2021) -
Research
SIE 900 (Spring 2021) -
SIE Sophomore Colloq
SIE 295S (Spring 2021) -
Dissertation
SIE 920 (Fall 2020) -
Doctoral
SIE 695A (Fall 2020) -
Research
SIE 900 (Fall 2020)
2019-20 Courses
-
Doctoral
SIE 695A (Spring 2020) -
SIE Sophomore Colloq
SIE 295S (Spring 2020) -
Doctoral
SIE 695A (Fall 2019) -
Independent Study
SIE 599 (Fall 2019) -
Thesis
SIE 910 (Fall 2019)
2018-19 Courses
-
Doctoral
SIE 695A (Spring 2019) -
SIE Sophomore Colloq
SIE 295S (Spring 2019) -
Thesis
SIE 910 (Spring 2019)
Scholarly Contributions
Journals/Publications
- 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
- 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.
