George Em Karniadakis

George Em Karniadakis is the Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Professor of Engineering at Brown University. He holds joint appointments in the Department of Applied Mathematics and Engineering, with affiliations at PNNL and MIT as Visiting Professor. His research focuses on Scientific Machine Learning, fractional PDEs, uncertainty quantification, and biophysics, with notable contributions to computational fluid dynamics, neurovascular coupling, and multiscale modeling.

Education: Ph.D. (1987) and S.M. (1984) from MIT. Prior roles include Assistant Professor at Princeton, Visiting Professorships at Caltech and Stanford's Center for Turbulence Research.

Research Interests: Karniadakis pioneers Scientific Machine Learning to solve PDEs without grids, leveraging gappy data. His work spans fractional calculus applications, stochastic multiscale methods, and biological systems modeling (e.g., sickle cell anemia, malaria). Recent efforts include neurovascular coupling in the brain and fractional PDE theory.

Articles Trends: His work bridges computational mathematics and biomedical applications, emphasizing fractional calculus, fluid-structure interaction, and high-performance computing. Notable work includes modeling cerebral aneurysms and red blood cell dynamics.

Awards: SIAM Fellow (2010), APS Fellow (2004), ASME Fellow (2003), SIAM Kleinman Award (2015), and the inaugural J. Tinsley Oden Medal (2013). He holds an h-index of 102 and ~55,500 citations.

Grants & Leadership: Lead PI of MURI projects on Fractional PDEs and Uncertainty Quantification. Directed DOE centers PhILMs and CM4. Advises on multiscale modeling and parallel computing.

Labs/Teams: Directs the CRUNCH Group at Brown, focusing on fluid dynamics, biophysics, and high-performance computing. Collaborates internationally on projects like blood flow modeling and brain aneurysm simulations.