No image
Mohammad Rafiee
Adjunct Professor

PhD



Biography

Dr. Rafiee is an Adjunct Professor in the Department of Mechanical Engineering at the University of Ottawa, specializing in the development of advanced multifunctional materials and advanced and additive manufacturing technologies. Dr. Rafiee received his Ph.D. in Mechanical Engineering from the University of Ottawa, and his research and teaching spans the numerical and experimental development of advanced materials, including design, modeling, processing, fabrication and characterization techniques. His work has focused on creating innovative materials and devices with improved and new functionalities for applications in various engineering fields.

Dr. Rafiee has published over 50 research papers in internationally recognized journals and conferences, accumulating extensive citations with an h-index of 27. His contributions have positioned them among the top 1% most highly cited authors in materials science and earned recognition among the World’s Top 2% Scientists since 2020 according to Stanford University.

In addition to their research, Dr. Rafiee holds five patents and has received prestigious honors and awards, including the Ontario Trillium Scholarship and the Fonds de Recherche du Québec – Nature et technologies (FRQNT). Dr. Rafiee has also contributed to the scientific community by serving as an Associate Editor and Guest Editor for several academic journals. 

Research interests

  • Advanced Materials, Composites and Nanocomposites, Piezoelectric Materials, Smart Materials, Electronic Materials
  • Advanced Manufacturing, Additive Manufacturing, multi-material 3D printing, low-cost polymer-based metal and ceramic additive manufacturing
  • Microelectronic packaging and manufacturing, design, process engineering, fabrication, testing, and reliability of microelectronic and semiconductor packages, flip-chip, wire bonding, BGA, TSV technology, Silicon Photonics, DSPs, ASICs, 2.5D
  • Free and forced vibration, dynamical systems, nonlinear analysis, large deformation
  • Numerical analysis and experimental characterization, Finite Element Analysis, Non-destructive testing, Ultrasound testing, Data Science and Machine Learning