Kenia Madrazo
Assistant Professor
Biography
Dr. Kenia Madrazo is a Full-Time Computer Science Professor at Grand Canyon University's College of Engineering and Technology, bringing over 18 years of distinguished experience in teaching, scientific research, and software engineering across Cuba, Mexico, and the United States. Holding a Bachelor's in Computer Science, a Ph.D. in Applied Technology, a Master's in Applied Technology, and a Master's in Software Development, the latter earned at GCU in 2025, she embodies the principle that exceptional educators never stop learning. As a researcher, Dr. Madrazo has built a compelling international publication record, with peer-reviewed scientific articles appearing in prestigious journals and conferences of IEEE, SPIE, IOP, Elsevier, Nova Scientia, and other high-impact publishers in the United States, Europe, and Latin America. Her articles have earned citations from researchers worldwide in areas spanning Biomedical Applications, Physics of Radiation, and Applied Technologies, a testament to the depth and cross-disciplinary reach of her scientific contributions. In recognition of her sustained research productivity, she was awarded the nomination of Member of the National System of Investigators (SNI) of Mexico in 2020, a highly selective distinction she has maintained to date. She has also led and co-led undergraduate and graduate research groups, and tutored and co-tutored theses in Computer Science, cultivating the next generation of scientific thinkers. Her current research at Grand Canyon University investigates the fascinating intersection of nutrition science and cognitive performance: as principal investigator of the project "Analysis of the Impact of Capsaicin on the Cognitive Learning Performance of Technology Students at CET," Dr. Madrazo explores how controlled low-dose capsaicin consumption may enhance learning outcomes in engineering and technology students, a novel, forward-thinking line of inquiry that reflects her drive to push the boundaries of what applied research can look like in higher education. In the classroom, Dr. Madrazo's expertise spans a broad and rigorous portfolio: Object-Oriented Programming in C++, C#, Java, and Python; Software Engineering through both Agile and traditional methodologies; Artificial Intelligence for Software Development; Computer Architecture; Modeling and Simulation; Web Development and Web Services; Database Management Systems; Superior Mathematics and Physics; and Professionalism, Ethics, and Communication in Science and Technology. This breadth is grounded in real industry experience. She has worked as a software developer and software engineer at Caja Popular Mexicana Bank in Mexico and at the Software Development Center of the University of Computer Science of Havana, Cuba, giving her students a professor who understands not just the theory, but the professional world they are preparing to enter. A scholar, mentor, innovator, and practitioner, Dr. Kenia Madrazo represents the very best of what a Computer Science professor can be: rigorous in research, passionate in teaching, and unrelenting in the pursuit of excellence.
Education
  • Bachelor of Science in Computer Science
  • Master of Science in Software Engineering
  • Master of Science
  • Doctor of Philosophy
Programs Taught
  • Bridge (Master of Science in Computer Science)
  • Bridge (Master of Science in Data Science)
  • Bridge (Master of Science in Software Development)
  • Bridge (Master of Science in Software Engineering)
  • Bachelor of Science in Applied Technology
Classes
  • AIT-114: Introduction to Linguistics
  • CST-105: Computer Programming I
  • CST-210: Object-Oriented Programming Lecture & Lab
  • CST-239: Programming in Java II
  • CST-307: Introduction to Computer Architecture Lecture & Lab
Research Interests
  • Her current research examines the potential effect of capsaicin intake on cognitive learning performance among students enrolled in Computing and Engineering Technology (CET) programs at Grand Canyon University. Cognitive learning, particularly the acquisition and retention of complex technical concepts, is a critical challenge in high-level technology education. Emerging evidence from neurocognitive and nutritional sciences suggests that capsaicin, an active compound found in spicy foods, may influence multiple biological mechanisms [1]. This study will analyze attention and memory-related learning using a controlled, pedagogical experimental design. For this study, we evaluate whether a minimal, safe, and non-invasive dose of capsaicin (5 – 7.5 mg) administered through a standardized meal containing the sauce Valentina (2100 SHU Scoville Heat Units) can positively impact students’ short-term cognitive learning outcomes. CET students will be exposed to technical concepts under two conditions: with and without capsaicin intake. For the first condition, the technical concepts will be introduced specifically, at the time estimated for the peak of the capsaicin effect in the human body. Learning outcomes will be assessed through concept comprehension and retention measures. Results of both conditions will be analyzed and contrasted. The goal of this study is not only to investigate a novel cognitive stimulus in an educational context, but also to explore its implications for instructional design in technology education. Findings from this research may inform curriculum designers and educators on evidence-based strategies to enhance learning effectiveness for complex technical subjects, while maintaining ethical, safe, and pedagogically sound practices.
Publications
  • K. Madrazo, A. Martínez, T.Pórraz, D.Toral, L.F.Enriquez, J.A. Guerrero,. (2018). Effect of the surrounding refractive index and fusion-depth on side pump combiner.
  • T. E Porraz, A. Martinez, D. Toral, K. Madrazo, L. F. Enriquez, J. M Sierra and G. Salceda. (2019). Characteristics of LPFGs Written by a CO2-Laser Glass Processing System.
  • K. Madrazo, A. Martinez, D. Toral, G. Salceda, V. C. Rodriguez and T. E Porraz. (2019). Tailoring the response of single-mode– multimode–single-mode structures fabricated with a special low-index fiber to changes in the surrounding refractive index.
  • D. Toral, A. Martinez, R. Selvas, F. Chavez, T. E Porraz, K. Madrazo, G. Salceda and J. A Guerrero. (2019). Asymmetric taper scrambler for improved pump homogeneity and absorption in side-pumped double cladd fiber lasers.
  • K. Madrazo, M. Sosa. (2023). Estimation of global solar radiation and incident daily UV in the city of Leon, Guanajuato, Mexico.
AI master’s student working on a computer at a desk

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