Jorge Dávalos-Guzmán received the B.Sc. degree in Electronics and Communications Engineering and the M.Sc. degree in Electronics and Computing from the University of Guadalajara, Mexico, and the Ph.D. degree in Engineering Sciences from ITESO, The Jesuit University of Guadalajara, Mexico. He is currently a Professor at the Centro de Enseñanza Técnica Industrial (CETI) and an Adjunct Professor at ITESO, where he contributes to engineering education, research, and the development of advanced electronics and digital systems curricula. Before returning to academia, he accumulated more than a decade of experience at Intel Corporation, where he held senior engineering roles focused on server platform architecture, design, validation, hardware enabling, and optimization for Intel Xeon platforms, collaborating with major technology and system manufacturers. His research interests include computational electromagnetics, microwave and RF engineering, electromagnetic and multiphysics modeling, surrogate modeling, artificial intelligence and machine learning for engineering design, space mapping, optimization of high-frequency structures, and emerging AI-assisted design methodologies. He has authored and co-authored peer-reviewed journal and conference publications in these areas and is a Senior Member of the IEEE.