Juan Miguel Navarro Carranza
Juan Miguel Navarro Carranza
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I am a Ph.D. candidate in Structural Engineering with a minor in Computer Science at Stanford University. My research focuses on understanding and predicting the behavior of reinforced concrete and steel structures under seismic events, with an emphasis on post-earthquake safety, functionality, and resilience. I am currently exploring and characterizing the effects of cumulative damage in longitudinal reinforcement on collapse risk and functional recovery.
My areas of expertise include earthquake engineering, artificial intelligence, machine learning, performance-based engineering, nonlinear dynamic analysis of structures, and seismic hazard and risk analysis.
Interests
Interests
I am passionate about leveraging advanced artificial intelligence and machine learning methods to solve complex structural and earthquake engineering problems. I am excited about the potential of foundation models, graph representation learning, and reinforcement learning to advance earthquake engineering research. My goal is to bridge the gap between artificial intelligence and structural engineering to create safer, more resilient built environments.
Education
Education
2021-Present
Stanford University, Stanford, California.
Ph.D. minor in Computer Science
2019-Present
Stanford University, Stanford, California.
Ph.D. in Civil and Environmental Engineering, Structural Engineering, and Geomechanics. Advisor: Gregory Deierlein.
2019-2021
Stanford University, Stanford, California.
M.S. in Civil and Environmental Engineering, Structural Engineering, and Geomechanics.
2014-2015
Institut National des Sciences Appliqueés de Lyon, INSA de Lyon, Lyon, France.
Exchange international student. Civil Engineering and Urban Planning.
2011-2016
Universidad de Guadalajara, Centro Universitaro de Ciencias Exactas e Ingenierías, Guadalajara, México.
B.Sc. in Civil Engineering. Summa Cum Laude.
Professional Experience
Professional Experience
2023
Teaching Assistant, Stanford University.
CEE 280 Advanced Structural Analysis Teaching Assistant. Prof. Gregory G. Deierlein.
Mentored students on the development of the backend of a structural analysis software using OOP principles.
Conducted office hours and tutorials that enhanced student comprehension of structural analysis principles and programming skills.
Provided tailored feedback on assignments and programming tasks, improving student performance and engagement.
Collaborated closely with the lead professor to optimize the material and align teaching methods with learning objectives.
2019 - Present
Graduate Researcher, Blume Earthquake Engineering Research Center, Stanford University.
Characterizing the structural response of reinforced concrete buildings under earthquakes to examine their safety and functionality during and after an earthquake. Exploring the topics of reinforcement fracture and innovative methods to evaluate risk.
2016 - 2019
Structural Engineer, Balderrama & Silos Ingeniería Estructural, S.C.
Analysis and design of structural systems for commercial, residential, and industrial facilities. Reviewed and approved analysis, design calculations, and drawings.
Research (review of literature, journal articles) and development of algorithms and tools for analysis and design of structural elements.
Structural project management.
Publications & Conference Papers
Publications & Conference Papers
Navarro Carranza, J.M., Deierlein, G.G. & Zhong, K. Simulation of longitudinal reinforcing steel bar fracture in reinforced concrete walls. Bulletin of Earthquake Engineering 23, 517–551 (2025). https://doi.org/10.1007/s10518-024-02078-6
Navarro Carranza, J.M., Deierlein, G.G. & Zhong, K. The influence of low-cycle fatigue on collapse of concrete shear walls. 18th World Conference on Earthquake Engineering, Milan, Italy (2024).
Miranda, E., Navarro Carranza, J.M. et al. StEER-07 Jan. 2020 Puerto Rico mw6. 4 Earthquake: preliminary virtual reconnaissance report (PVRR) (2020).
Honors & Awards
Honors & Awards
Gere Award, School of Engineering, Stanford University.
The Shah Family Fund Fellowship, School of Engineering, Stanford University.
Nancy Grant Chamberlain Fellowship, School of Engineering, Stanford University.
Dionisio Garza-Medina Fellowship, School of Engineering, Stanford University.
Claudio X. González Fellowship, School of Engineering, Stanford University.
Fulbright Garcia-Robles Scholarship, U.S.-Mexico Commission for Educational & Cultural Exchange, COMEXUS.
Academic Excellence Award, Colegio Metropolitano de Ingenieros Civiles de Jalisco, A.C., COMICIJ.
Distinguished Academic Performance, Ceremonia de Reconocimiento a Estudiantes Sobresalientes, Universidad de Guadalajara
México Francia Ingenieros Tecnología, MEXFITEC, Secretaría de Educación Pública, SEP.
Talks & Conference Presentations
Talks & Conference Presentations
2025 Blume Center 50th Anniversary Celebration [Poster]. Stanford, California.
2024 18th World Conference on Earthquake Engineering [Oral]. Milano, Italy.
2022 NHERI 2022 SimCenter Symposium [Poster]. Texas Advanced Computing Center (TACC). Austin, Texas.
2022 Blume Center and SURI Affiliates and Alumni Meeting [Poster]. Stanford, California.
2022 Berkeley/Stanford Computational Mechanics Festival (CompFest) [Oral]. Stanford, California.
Services
Services
Member:
2023 Fulbright Selection Committee.
Reviewer:
ICLR 2025 Workshop on Sparsity in LLMs (SLLM).
NAACL 2024 LatinX in Natural Language Processing Research Workshop.
ICML 2023 Workshop LXAI.
ICML 2023 Workshop on Neural Compression: From Information Theory to Applications.
NeurIPS 2023 UniReps: Unifying Representations in Neural Models.
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