Mireille E. Broucke

Mireille E. Broucke is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. She holds a PhD in Electrical Engineering and Computer Sciences from UC Berkeley (2000) and has extensive industry experience in control systems at companies like Texas Instruments and Lockheed. Her academic career includes visiting roles at UC Berkeley and the University of Bologna.

• B.S. (1984), University of Texas at Austin
• M.S. (1987), University of California, Berkeley
• PhD (2000), University of California, Berkeley

Her research focuses on mathematical system theory, particularly hybrid systems, reach control problems, and geometric control. Recent work explores systems neuroscience, modeling brain processes through control theory. She has developed adaptive internal models and robust parameter adaptation frameworks.

Key article trends include adaptive control in neuroscience, reach control theory for robotics, and geometric methods in linear systems. Her collaborations span institutions like TU Delft and the University of Bologna, with applications in quadcopter motion control and multi-robot coordination.

Scientific Awards

• Member of the Institute of Electrical and Electronics Engineers (IEEE)
• Professional Engineer of Ontario

Broucke advises students in control theory, robotics, and hybrid systems. She has led projects at research units like PATH (UC Berkeley) and PARADES (Rome). Her teaching portfolio includes courses on robot control, nonlinear systems, and geometric control theory. She contributes to linear quadratic optimal control and motion planning algorithms.