Prof. Phaedon-Stelios Koutsourelakis, Ph.D.


Continuum mechanics

Academic Career and Research Areas

The aim of the research work of Professor Koutsourelakis (b. 1975) is to develop computational strategies to model and analyze physical and engineered systems with particular emphasis on continuum mechanics. Dr. Koutsourelakis adopts a cyber-enabled statistical discovery mindset in his research activities. These center around two main themes: a) uncertainty quantification: identification and modeling of stochastic aspects in the mechanics' systems by means of data assimilation and efficient procedures for their analysis and design in the presence of uncertainties, and b) multi-scale phenomena: the discovery of accurate macro-scale descriptions for processes evolving on vastly different spatio-temporal scales.

Professor Koutsourelakis completed his undergraduate studies at the National Technical University of Athens, Greece and obtained a PhD from Princeton University, NJ, USA. He has previously held academic positions at the University of Innsbruck (Leopold-Franzens) (Austria), Cornell University (USA) and Heriot-Watt  University (UK). He was also a research scientist at the Lawrence Livermore National Laboratory, (USA).


  • Fellowship, Center for Interdisciplinary Research, University of Bielefeld (ZiF) / Cooperation Group on Multiscale Modeling of Tumor Initiation, Growth and Progression (2016)
  • Top Teaching Trophy, Munich Schoool of Engineering (2014, 2015, 2016)
  • Dean’s First Year Merit Prize in Recognition of Outstanding Record, Princeton University (1998)
  • Prize for Excellence in Academic Performance, National Technical University of Athens (1994, 1997, 1998)

Quaglino A, Pezzuto S, Koutsourelakis PS, Aurrichio A, Krause R: "Fast uncertainty quantification of activation sequences in patient-specific cardiac electrophysiology meeting clinical time constraints". International journal for numerical methods in biomedical engineering. 2018; 34(7): e2985.


Schoeberl M, Zabaras N, Koutsourelakis PS: "Predictive coarse-graining". Journal of computational physics. 2017; 333: 49-77.


Koutsourelakis PS, Zabaras N, Girolami M: "Special Issue: Big data and predictive computational modeling". Journal of computational physics. 2016; 321: 1252-1254.


Franck IM, Koutsourelakis PS: "Sparse Variational Bayesian approximations for nonlinear inverse problems: Applications in nonlinear elastography". Computer methods in applied mechanics and engineering. 2016; 299: 215-244. 


Bilionis I, Koutsourelakis PS: "Free energy computations by minimization of Kullback-Leibler divergence: An efficient adaptive biasing potential method for sparse representations". Journal of computational physics. 2012; 231(9): 3849-3870.