Vassil Alexandrov

Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC - CNS)

Experimental Sciences & Mathematics

Vassil Alexandrov is an ICREA Research Professor in Computational Science at BSC since September 2010. He holds a MSc in Applied Mathematics from Moscow State University, Russia (1984) and a PhD in Parallel Computing from Bulgarian Academy of Sciences (1995). He has held previous positions at the University of Liverpool, UK (Depts. of Statistics and Computational Mathematics and Computer Science, 1994-1999), the University of Reading, UK (School of Systems Engineering, 1999-2010, as Professor of Computational Science leading the Computational Science research group until September 2010, and as the Director of the Centre for Advanced Computing and Emerging Technologies until July 2010). He is an Editorial Board member and a Guest Editor of the Journal of Computational Science and Journal of Mathematics and Computers in Simulation. He has published over 120 papers in renowned refereed journals and international conferences in the area of his research expertise.

Research interests

My expertise and research interests are in the area of Computational Science and High Performance Computing focusing on Data and Compute Intensive problems 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.

Selected publications

Alexandrov V 2016, ‘Route to exascale: Novel mathematical methods, scalable algorithms and Computational Science skills’, Journal of Computational Science, vol. 14, pp 1-4

– Gurov T, Karaivanova A & Alexandrov V 2016, ‘Energy Study of Monte Carlo and Quasi-Monte Carlo Algorithms for Solving Integral Equations’, Procedia Computer Science, vol. 80, pp. 1897–1905.

– Blokh I & Alexandrov V 2016, ‘Psychological Warfare Analysis Using Network Science Approach’, Procedia Computer Science, vol. 80, pp 1856–1864.

– Kalashnikov V, Kalashnykova N & Alexandrov V 2016,  ‘A Stochastic Approach to Solving Bilevel Natural Gas Cash-out Problems’, Procedia Computer Science, vol. 80, pp 1875–1886.

– Ostromsky T, Alexandrov V, Dimov I & Zlatev Z 2016, ‘On the Performance, Scalability and Sensitivity Analysis of a Large Air Pollution Model’, Procedia Computer Science, vol 80, pp 2053–2061.

– Davila D, Alexandrov V & Esquivel O 2016, ‘On Monte Carlo Hybrid Methods for Linear Algebra’, Proc. of 7th ScalA Workshop, Supercomputing, IEEE/ACM Digital Library, pp. 83-88.

Selected research activities

  • Distinguished Visiting Professor in Computational Science at Tecnologico de Monterrey (ITESM), Mexico (January 2015 – present), providing rsearch leadership and focusing on developing efficient methods and algorithms for data and compute intensive problems and applications.
  • Participated and contributed to Mathematics for Europe consultation.

Conferences/Workshops Organization:

  • 7th Scalable Algorithms for Large-Scale Systems Workshop at Supercomputing 2016, Salt Lake City, Nov. 2016, USA.
  • 4th Solving Problems with Uncertainties Workshop on ICCS 2016, San Diego, USA, June 2016.
  • 3rd Mathematical Methods and Algorithms for Extreme Scale Workshop on ICCS 2016, San Diego, USA, June 2016.


  • Editorial Board member and Guest Editor of a special issue – Route to Exascale of Journal of Computational Science, Elsevier.