Dr. Johann Guilleminot

Associate Professor

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Biography

Johann Guilleminot is an Associate Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University. He joined Duke on July 1, 2017, after holding a Maître de Conférences position at the Multiscale Modeling Simulation Laboratory at Université Paris-Est, France. He earned his MS (2005) and PhD (2008) in Theoretical Mechanics from the University of Lille 1 Science and Technology, France, and received his Habilitation in Mechanics from Université Paris-Est in 2014, the highest academic degree in France. His research focuses on probabilistic methods in computational mechanics and materials science, with particular interests in multiscale analysis of linear and nonlinear heterogeneous materials, including biological and engineered materials. Key areas of his work include homogenization theory, scientific machine learning, and applications of stochastic modeling in computational science and engineering. He is actively involved in teaching various courses related to mechanics and materials science.

Research Interests

Computational Mechanics Heterogeneous Materials Molecular Dynamics Simulations Atomistic-to-Continuum Coupling Stochastic Solvers Statistical Inverse Problems Model Validation Uncertainty Quantification

Experience

Associate Professor

2017-07-01 — Present

Duke University • Durham, NC

Teaching and conducting research in computational mechanics and materials science.

Maître de Conférences

— Present

Université Paris-Est • France

Conducted research and taught courses in multiscale modeling and simulation.

Courses

ME 758S: Curricular Practical Training 592: Research Independent Study in Mechanical Engineering Material Science 591: Research Independent Study in Mechanical Engineering Material Science 582: Applications Data Materials Science 524: Introduction Finite Element Method 491: Special Projects Mechanical Engineering 490: Special Topics Mechanical Engineering EGR 393: Research Projects Engineering COMPSCI 583: Applications Data Materials Science CEE 628: Uncertainty Quantification Computational Science Engineering CEE 530: Introduction Finite Element Method CEE 421L: Matrix Structural Analysis

Requirements for Duke University

Master Program
Requirements
GPA Requirement
Required:3.2
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:24
Speaking
Required:26
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Multivariable Calculus Introduction to Physics (mechanics) Introduction to Chemistry
Application Checklist
  • Transcripts
  • Statement of Purpose
  • Three Letters of Recommendation
  • Resume/CV
  • Application Fee ($95)
  • Video Introduction
Specialization Notes

Department of Biomedical Engineering (MS program)