Veveakis

Manolis Veveakis

Professor in the Department of Civil and Environmental Engineering

Research Interests

Theoretical and applied mechanics, Geomechanics, Irreversible Thermodynamics. Emphasis on the multiphysical modelling of plasticity of solids, solid-fluid interactions, friction laws and rheology of geomaterials

Bio

Manolis Veveakis holds a Diploma (BSc+MEng) in Applied Mathematics and Physics (MEng in Materials Engineering), an MSc in Applied Mechanics and a PhD in Geomechanics, all from the National Technical University of Athens, Greece.

Positions

  • Professor in the Department of Civil and Environmental Engineering
  • Associate Chair in the Department of Civil and Environmental Engineering

Courses Taught

  • ENERGY 796T: Bass Connections Energy & Environment Research Team
  • ENERGY 795T: Bass Connections Energy & Environment Research Team
  • ENERGY 396T: Bass Connections Energy & Environment Research Team
  • ENERGY 395T: Bass Connections Energy & Environment Research Team
  • EGR 201L: Mechanics of Solids
  • CEE 890: Advanced Topics in Civil & Environmental Engineering
  • CEE 690: Advanced Topics in Civil and Environmental Engineering
  • CEE 621: Plasticity

In the News

Representative Publications

  • Sac-Morane, A., K. Ioannidou, M. Veveakis, and H. Rattez. “Predicting microstructure and mechanical properties during alite (C3S) hydration using a Phase-Field model (Accepted).” Construction and Building Materials 521 (April 25, 2026). https://doi.org/10.1016/j.conbuildmat.2026.145946.
  • Wu, Fanyu, Chong Liu, Manolis Veveakis, and Manman Hu. “Brittle-to-ductile fracturing transition: A chemo-mechanical phase-field framework,” April 11, 2026.
  • Poulet, Thomas, Sandro Truttmann, Victor Boussange, and Manolis Veveakis. “Chaotic Slow Slip Events in New Zealand from Two Coupled Slip Patches: A Proof of Concept.” ARC Geophysical Research 2, no. 1 (January 9, 2026). https://doi.org/10.5149/arc-gr.1579.
  • Tsao, Valerie, Nathaniel W. Chaney, and Manolis Veveakis. “Probabilistic Spatial Interpolation of Sparse Data Using Diffusion Models.” Artificial Intelligence for the Earth Systems 5, no. 1 (January 2026). https://doi.org/10.1175/aies-d-25-0049.1.
  • Tian, Qinyi, Winston Lindqwister, Manolis Veveakis, and Laura E. Dalton. “Learning Latent Hardening (LLH): Enhancing Deep Learning with Domain Knowledge for Material Inverse Problems,” January 16, 2025.