Ramírez-Arceo, Guillermo Alejandro

Alejandro Arceo is a mathematical engineer with research interests in the algebraic and analytic properties of orthogonal polynomials. He obtained his Ph.D. in Electric and Electronic Engineering in 2022, where he developed robust design techniques based on pole placement using orthogonal polynomial sequences. His previous degrees include a Master's in Process Engineering from the Universidad de Colima in 2018, where he focused on the robust stability of Hurwitz polynomials associated with a Laguerre-type measure, and a Master's in Mathematical Engineering from the Universidad Carlos III de Madrid in 2014, where he studied the Uvarov modification of a quartic potential Freud-like weight and Freud-Sobolev type orthogonal polynomials. He also holds a Bachelor of Mathematics degree from the Universidad de Colima, obtained in 2012, where he specialized in a generalization of the Laguerre-Sobolev type orthogonal polynomials. His research interests include the robust stability of linear systems and support vector machine classifiers. He has published extensively in renowned journals such as Sensors, Journal of Computational and Applied Mathematics, Complexity, Information, Mathematics, and Applied Mathematics and Computation, and has presented his work at various conferences and workshops. He has participated in several research projects funded by Ruta Azul, Tecnológico de Monterrey, and Universidad Autónoma de Tamaulipas. Since May 2023, in his postdoctoral position at Tecnológico de Monterrey, he has focused on control design for by-wire systems of autonomous vehicles and kernel functions for support vector machine pattern classification.