You are now in the main content area

Dr. Jun Cao

Jun Cao
BSc, PhD, PEng
416-979-5000 ext. 557694

Areas of Academic Interest

Tornado dynamics

Immersed boundary method

Mesh adaptivity


Year University Degree
1995 University of Paris 6 PhD
1989 Nanjing University of Aeronautics and Astronautics BSc

Selected Courses

Course Code Course
ME8102 Advanced Fluid Mechanics
MEC 309 Basic Thermodynamics
MEC 511 Thermodynamics and Fluids


Do you know Canada ranks as the second country in the world with the most tornadoes per year? As often observed, the damage severity is not the same for each residence within a community hit by a tornado. It is catastrophic for some dwellings while mild for others. Is the fate of each residence predictable before the community is faced with this type of disastrous weather? Jun Cao wants to address that.

As an expert in advanced numeric methods, Cao has spent his career applying mathematics to diverse engineering problems, including in aerospace and with particular applications such as groundwater and fuel cells. His most recent project is among his most ambitious: developing computer simulation tools to study tornado dynamics. Some predictions obtained from his simulations have been confirmed by experimental researchers, and Cao and his students have published papers on the subject. “Our progress has been very gratifying because tracking tornado dynamics is incredibly complex,” he says. 

Tornado dynamics is a dramatic example of what Cao loves about his work. “The purpose of science is to improve our lives,” he says. Making the twister mechanism clearer and improving building design are two ways to do that.

Jun Cao

“Engineering is a wonderful world that involves everything in our daily life.”

  • Guo, X., and Cao, J. “An IB-LBM Investigation Into the Aerodynamic Coefficients in Relation to the Rotation Intensity of a Tornado-like Wind.” Computers & Mathematics with Applications, vol. 78, no. 4, 2019, pp. 1206-1226.
  • Guo, X., Palanisamy, R., and Cao, J. “A Two-dimensional IB-LBM Framework Combined With Re-tailored RCVM for Assessing the Rotation Intensity of a Tornadic Wind Over a Building Configuration.” Engineering Structures, vol. 130, 2017, pp. 57-68.
  • Guo, X., Yao, J., Zhong, C., and Cao, J. “A Hybrid Adaptive-gridding Immersed-boundary Lattice Boltzmann Method for Viscous Flow Simulations”, Applied Mathematics and Computation, Vol. 267, pp. 529-553, 2015
  • Zhuo, C., Zhong, C., Guo, X., and Cao, J. “Numerical Investigation of Four-lid-driven Cavity Flow Bifurcation Using the Multiple-relaxation-time Lattice Boltzmann Method.” Computers and Fluids, vol. 110, 2015, pp. 136-151.
  • Cao, J., Zhou, G., Wang, C., and Dong, X. “A Hybrid Adaptive Finite Difference Method Powered by a Posteriori Error Estimation Technique.” Journal of Computational and Applied Mathematics, vol. 259, 2014, pp. 117-128.
  • Professional Engineers Ontario (PEO)