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Larisa Beilina is a Full Professor at Chalmers University, focusing on Applied Mathematics, Statistics, and Mathematical Sciences. Her main research interests are concentrated on finding solutions to ill-posed Coefficient Inverse Problems (CIPs) in Partial Differential Equations (PDEs) using adaptive finite element methods and globally convergent numerical techniques. She developed her adaptive finite element method for hyperbolic CIPs during her PhD thesis in 2003 and later collaborated with Professor M.V. Klibanov at the University of North Carolina at Charlotte, USA, where they refined a globally convergent method by 2008. In 2011, this method was successfully validated through blind experimental data collected from Forward Looking Radar at the Army Research Laboratory.
General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.