معرفی
Dr. Mireille Boutin is an Associate Professor in the Department of Mathematics and the Department of Electrical and Computer Engineering at Purdue University. Her research focuses on Computational and Applied Mathematics and Data Science, with contributions to invariant theory, geometric modeling, and algorithmic geometry. She is affiliated with both the Department of Mathematics and the Elmore Family School of Electrical and Computer Engineering.
Her work bridges theoretical and applied mathematics, addressing problems in structure from motion, point configuration reconstruction, and symmetry detection. She has developed educational initiatives through the Data Science Labs series, integrating hands-on learning with Python, Arduino, and real-world applications. These courses enhance data science skills in calculus, multivariable calculus, and signal processing.
Boutin serves as an Associate Editor for La Matematica and the SIAM Journal on Applied Algebra and Geometry. Her teaching includes courses such as ECE 301 (Signals and Systems), ECE 438 (Digital Signal Processing), and ECE 662 (Statistical Pattern Recognition).
Her research has been featured in news articles, including work on drones estimating room shapes from echoes and probabilistic methods in data clustering. She actively mentors students in both graduate and undergraduate research, fostering innovation in applied mathematics and engineering.
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