Go to content Go to the menu Go to the search

Modeling and Engineering

Quick access, personalized services


Advanced search

Modeling and Engineering

Simulation and modeling have become increasingly important in today's society. UPMC plays a predominant role in these virtual worlds, especially in robotic technologies, the architecture of the future Internet or in reducing noise in transportation systems. It is one of the world’s leading hubs in mathematics.

The scientific field covered by the Modeling and Engineering Division includes pure and applied mathematics, computer science, mechanics, electronics, robotics and medical engineering. For each discipline, the work ranges from fundamental to applied research, in varying degrees of completion. There are strong links at the interfaces of these disciplines: for example, computational mechanics of fluids and solid and modeling their uncertainties involves both applied mathematics and mechanics.

The research division's focus is to respond to certain important issues of twenty-first century societies. The need to reduce pollution and energy consumption leads to considerable research in the field of mechanics: reduced emissions through optimized gears and new engine concepts, particularly in the field of land and air transport. Biomedical imaging and modeling of the living is another important focus, with work on numerical modeling of the cardiovascular system, the analysis of human posture and gesture done in robotics, electromagnetic modeling of the living in electronics laboratories. The issues of signal processing, imaging, interpretation and perception, whatever the objects of study, can be found across many teams. Many sectors within this division are also involved in nanotechnology.

Go to UPMC Robotics on the Cover of Nature magazine 03.06.2015

UPMC Robotics on the Cover of Nature magazine

Researchers at the Intelligent Systems and Robotics Institute (ISIR, a joint UPMC/CNRS structure) and colleagues from the University of Lorraine* are the cover story in Nature. Their work, published in the May 27, 2015 issue, show how robots can automatically adapt in less than two minutes when they ...