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Farbod Khameneifar
B.Sc. (University of Tehran), M.A.Sc. (Simon Fraser University), Ph.D. (University of British Columbia)

Research interests and affiliations

Research interests
  • Computer-Aided Design, Manufacturing, and Inspection (CAD/CAM/CAI)
  • 3D Metrology, Computational Metrology
  • 3D Scanning, Point Cloud Data Processing
  • Additive Manufacturing, 3D Printing
  • Digital Manufacturing, Closed-loop Manufacturing
Expertise type(s) (NSERC subjects)
  • 1702 Advanced manufacturing
  • 2107 Modelling, simulation and finite element methods
  • 2108 Aerospace, aeronautical and automotive engineering
  • 2109 Mechanical systems and instrumentation
  • 2603 Computer vision
  • 2713 Algorithms
  • 2605 Pattern analysis and machine intelligence


Recent publications
Conference paper
Siguerdidjane, W., Khameneifar, F., Gosselin, F. & Levasseur, G. (2019). A deep learning approach to solving the peen forming inverse problem [Abstract]. Paper presented at the APS March Meeting 2019, Boston, Massachusetts. (Published in Bulletin of the American Physical Society, 64(2)). Retrieved from
Journal article
Ghandali, P., Khameneifar, F. & Mayer, J.R.R. (2019). A pseudo-3D ball lattice artifact and method for evaluating the metrological performance of structured-light 3D scanners. Optics and Lasers in Engineering, 121, 87-95. Retrieved from
Journal article
Khameneifar, F. & Ghorbani, H. (2019). On the curvature estimation for noisy point cloud data via local quadric surface fitting. Computer-Aided Design and Applications, 16(1), 140-149. Retrieved from
Conference paper
Khameneifar, F. & Ghorbani, H. (2018). Estimating principal curvatures in noisy point clouds through local quadric surface fitting. Paper presented at the 15th Annual International CAD Conference (CAD 2018), Paris, France (pp. 54-58). Retrieved from