Mireille Boutin

Mireille Boutin is a professor whose recent work sits at the intersection of signal processing, machine learning, and applied mathematics, with current appointments in both the Department of Mathematics and the Elmore Family School of Electrical and Computer Engineering at Purdue University. Her standing in the field is reflected in an editorial portfolio that spans leading journals, with current service as associate editor for La Matematica and the SIAM Journal on Applied Algebra and Geometry.

Her academic foundations were built in mathematics and physics. She earned a bachelor’s degree in Physics-Mathematics from the University of Montreal in 1996, then completed a Ph.D. in Mathematics at the University of Minnesota in 2001 under the direction of Peter J. Olver. That training opened doors to two formative post-doctoral positions: first with David Mumford, David Cooper, and Ben Kimia at Brown University in Rhode Island, and then with Stefan Muller at the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany.

At Purdue, Boutin has built a career recognized for both research and teaching. She is a three-time recipient of the university’s Seed for Success Award, and her classroom impact has earned the Eta Kappa Nu Outstanding Faculty Award, the Eta Kappa Nu Outstanding Teaching Award, and the Wilfred “Duke” Hesselberth Award for Teaching Excellence. Her editorial experience also includes earlier terms with IEEE Signal Processing Letters, IEEE Transactions on Image Processing, and Applicable Algebra in Engineering, Communication and Computing.

Beyond the classroom and journal pages, she contributes to the direction of her discipline through service on the Image, Video, and Multidimensional Signal Processing Technical Committee of the IEEE Signal Processing Society, helping shape research priorities across the international signal processing community.