Abimael Guzman-Pando is a professor-researcher at the Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua (UACH), Mexico. He holds a Ph.D. in Electronic Engineering Sciences and completed postdoctoral research in computational chemistry, where he worked with computational and physicochemical modeling approaches. His research focuses on artificial intelligence, deep learning, computer vision, biomedical signal and image processing, and computational methods applied to healthcare. He develops and validates AI-based tools for medical image analysis, disease detection and segmentation, clinical risk prediction, and biomedical data analysis. He coordinates multidisciplinary research activities involving engineering, biomedical sciences, and medicine, with an emphasis on translating artificial intelligence research into practical healthcare applications. In recognition of his scientific, technological, and academic contributions, he has received the Chihuahua State Youth Award for Academic Activities (2022), the Chihuahua Science and Technology Award (2026), and the Rotary Merit Recognition in Science and Technology (2026).
Autonomous University of Chihuahua
Chihuahua City, Mexico
Faculty of Medicine and Biomedical Sciences
Chihuahua State Youth Award for Academic Activities
Government of the State of Chihuahua, Mexico, Chihuahua, Mexico
State-level recognition awarded in 2022 in the Academic Activities category, honoring outstanding academic achievements and contributions to scientific research, education, and knowledge dissemination in Chihuahua, Mexico.
Chihuahua Science and Technology Award
Government of the State of Chihuahua, Mexico, Chihuahua, Mexico
State-level award granted in 2026 for the development of a software tool for fetal risk assessment, recognizing its contribution to scientific research, technological innovation, and healthcare applications in Chihuahua, Mexico.
Rotary Merit Recognition in Science and Technology
Rotary Club, Chihuahua, Mexico, Chihuahua, Mexico
Recognition granted in 2026 for contributions to scientific research, technological development, and innovation, particularly in the application of artificial intelligence and computational methods to healthcare.