Yannis Kevrekidis

Yannis Kevrekidis is a Professor at Princeton University with a distinguished career in computational mathematics and chemical engineering. He is currently a Hans Fischer Senior Fellow at the Technical University of Munich (TUM-IAS) and has held visiting positions at institutions like the Zuse Institute Berlin and Caltech.

• Education:
  • National Technical University of Athens (Chemical Engineering)
  • University of Minnesota (PhD in dynamical systems)
• Research Interests:
  • Equation-Free and Variable-Free Modeling
  • Complex Systems Dynamics
  • Multiscale Computation
  • Integration of Machine Learning with Scientific Computing
  • Pattern Formation & Instability Analysis
• Key Article Trends:
  • Advanced data-driven modeling of dynamical systems
  • Manifold learning for reaction coordinates
  • Projective integration methods
  • Coarse-grained modeling across disciplines
  • Applications in epidemiology, neuroscience, and fluid dynamics
• Scientific Awards:
  • Guggenheim Fellowship
  • Humboldt Research Award
  • Computing in Chemical Engineering Award (AIChE)
  • Bodossaki Academic Award
  • Allan P. Colburn Award
• Collaborations:
  • Extensive international collaborations with institutions in Germany, Austria, and the UK
  • Key role in the Complex Systems Modeling and Computation focus group at TUM-IAS