About the project
CAE Inc., a manufacturer of simulation technologies and training services to airlines, aircraft manufacturers, healthcare specialists, and defence customers, Presagis, a provider of commercial offthe-shelf (COTS) modeling, simulation, and embedded display graphics software for the aerospace, defense, and automotive industries and Concordia University (CU) have joined forces with Polytechnique Montréal in a 3-year project funded by PARTENAR-IA, CRIAQ and NSERC to develop solutions aimed at increasing the capacity of flight simulation environments for urban air mobility through the coupling of rotorcraft models, such as for helicopters or unmanned aerial vehicles (UAVs), and urban city aerodynamic models. The project will investigate novel Computational Fluid Dynamics (CFD), Machine Learning (ML) and Artificial Intelligence (AI) models specifically tailored for the problem at hand, leading to so-called ‘physics-based ML/AI models’. The project involves knowledge or interest in Computational Fluid Dynamics (CFD) algorithms, urban scale modeling (including mesh generation over entire city scales), CPU/GPU high-performance computing and, for all major steps of the digital workflow, ML/AI algorithms.
See the PDF file for details.