Oliver Giraldo-Londoño

Oliver Giraldo-Londoño

Oliver Giraldo-Londoño, Assistant Professor, James W. and Joan M. O’Neill Faculty Scholar in Engineering

Civil & Environmental Engineering

Oliver Giraldo-Londoño

Oliver Giraldo-Londoño is an Assistant Professor and James W. and Joan M. O’Neill Faculty Scholar in Engineering in the Department of Civil and Environmental Engineering at the University of Missouri. He is currently serving as the director of research for the 3D Printing Research & Experiences Lab to promote 3D printing research and development. His research focuses on computational mechanics, particularly on the fields of topology optimization and computational fracture mechanics. His work has been published in the Proceedings of the Royal Society A, Computer Methods in Applied Mechanics and Engineering, Structural and Multidisciplinary Optimization, among others. Dr. Giraldo-Londoño has worked in collaboration with Sandia National Laboratories and Siemens Corporate technology to develop frameworks for topology optimization of structures subjected to general dynamic loading and thermomechanical loading, respectively. He has received several awards including the Young Researcher Award from COLCIENCIAS (the Colombian equivalent to the National Science Foundation) and the Emilio Robledo Award, awarded by the Colombian Society of Engineers.


  • PhD in Civil Engineering from the Georgia Institute of Technology
  • MS in Civil Engineering from Ohio University in Athens
  • BS in Civil Engineering from the National University of Colombia (highest GPA)

Technical Focus

Topology optimization and generative design

  • Stress-constrained topology optimization
  • Multi-physics topology optimization
  • Single- and multi-material topology optimization of nonlinear structures
  • Topology optimization of multi-material viscoelastic microstructures and soft materials
  • Multi-scale topology optimization
  • Additive manufacturing
  • Generative design across disciplines

Fracture Mechanics

  • Cohesive zone modeling
  • Computational fracture analysis of rate-dependent materials
  • Constitutive models for fracture simulation of soft materials

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