Alexandrov, VassilResearch Professor at
Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS )
Experimental Sciences & Mathematics
My expertise and research interests are in the area of Computational Science and High Performance Computing focusing on tackling Data and Compute Intensive problems at scale and encompassing stochastic modelling, Monte Carlo methods and algorithms, parallel algorithms, Parallel Computing, Scalable Algorithms for Large Scale Systems and Applications. In particular, the emphasis is on novel scalable stochastic and hybrid mathematical methods and algorithms such as scalable hybrid Monte Carlo algorithms for variety of supercomputing architectures for Linear Algebra, Optimization, Computational Finance, Environmental Models, Computational Biology, etc. In addition the research focuses on scalable, fault-tolerant and resilient algorithms for petascale and exascale computing paradigms. These are applied through various collaborations to applications in diverse areas.