Biography

Dr. Krassimir Georgiev

Institute of Information and Communication Technologies (IICT)

Bulgarian Academy of Sciences (BAS)

Associate Professor


Email: [email protected]


Qualifications

1984 Ph.D., Numerical Methods, Bulgarian Academy of Sciences

1973-1978 M.Sc., Mathematical Modelling (Numerical Methods), Department of Mathematics, Faculty of Mathematics and Mechanics at Sofia University


Publications (selected)

  1. Georgiev, I., Kostadinov, H., & Lilkova, E. (Eds.). (2025). Advanced computing in industrial mathematics. Springer Nature.
  2. Georgiev, K., & Margenov, S. (2023). Diffusion-reaction problems based on operator splitting and BURA. In I. Georgiev, H. Kostadinov, & E. Lilkova (Eds.), Advanced computing in industrial mathematics (pp. 125–138). Springer.
  3. Georgiev, K. (2023). Notes on the research at the Department of Fluid Mechanics of the Institute of Mechanics of the Bulgarian Academy of Sciences. Journal of Theoretical and Applied Mechanics, 53(3), 207–230.
  4. Georgiev, K., Zlatev, Z., & Lirkov, I. (2023). Development of new high performance computer architectures and improvements in Danish Eulerian model for long range transport of air pollutants. In I. Lirkov & S. Margenov (Eds.), Large-scale scientific computing (pp. 325–334). Springer.
  5. Zlatev, Z., Dimov, I., & Faragó, I., et al. (2022). Efficient implementation of advanced Richardson extrapolation in an atmospheric chemical scheme. Journal of Mathematical Chemistry, 60(1), 219–238.
  6. Liolios, K., Skodras, G., & Georgiev, K., et al. (2021). Effluent recirculation for contaminant removal in constructed wetlands under uncertainty: A stochastic numerical approach based on Monte Carlo methodology. In I. Lirkov & S. Margenov (Eds.), Large-scale scientific computing (pp. 148–155). Springer.
  7. Zlatev, Z., Dimov, I., & Faragó, I., et al. (2021). Running an atmospheric chemistry scheme from a large air pollution model by using advanced versions of the Richardson extrapolation. In I. Lirkov & S. Margenov (Eds.), Large-scale scientific computing (pp. 188–197). Springer.
  8. Georgiev, K., Vitanov, N. K., & Stoyanova, M. (2020). Study of time series connected to an innovative window heat transfer system. In Annual Meeting of the Bulgarian Section of SIAM (pp. 24–33). BGSIAM.
  9. Zlatev, Z., Dimov, I., & Faragó, I., et al. (2020). Explicit Runge–Kutta methods combined with advanced versions of the Richardson extrapolation. Computational Methods in Applied Mathematics, 20(4), 739–762.
  10. Zlatev, Z., Dimov, I., & Faragó, I., et al. (2019). Large-scale air pollution modeling in Europe under different climatic scenarios. International Journal of Big Data Mining for Global Warming, 1(2), Article 1950009.
  11. Georgiev, K., & Margenov, S. (2019). Numerical methods for fractional diffusion-reaction problems based on operator splitting and BURA. In Annual Meeting of the Bulgarian Section of SIAM (pp. 73–84). BGSIAM.
  12. Zlatev, Z., Dimov, I., & Faragó, I., et al. (2019). Studying the influence of climate changes on european ozone levels. In I. Lirkov & S. Margenov (Eds.), Large-scale scientific computing (pp. 391–399). Springer.
  13. Vutov, Y., Nikolov, D., & Lirkov, I., et al. (2019). Computer simulation of a saline enhanced radio-frequency hepatic ablation process. In I. Lirkov & S. Margenov (Eds.), Large-scale scientific computing (pp. 382–390). Springer.
  14. Nikolov, G., Kolkovska, N., & Georgiev, K. (Eds.). (2019). Numerical methods and applications. Springer.
  15. Zlatev, Z., Dimov, I., & Faragó, I., et al. (2019). Advanced algorithms for studying the impact of climate changes on ozone levels in the atmosphere. International Journal of Environment and Pollution, 66(1–3), 212–238.
  16. Zlatev, Z., Dimov, I., & Faragó, I., et al. (2018). Stability properties of repeated Richardson extrapolation applied together with some implicit Runge-Kutta methods. In L. Vulkov & J. Waśniewski (Eds.), Finite difference methods (pp. 114–125). Springer.
  17. Zlatev, Z., Dimov, I., & Faragó, I., et al. (2018). Absolute stability and implementation of the two-times repeated Richardson extrapolation together with explicit Runge-Kutta methods. In L. Vulkov & J. Waśniewski (Eds.), Finite difference methods (pp. 678–686). Springer.


Profile Details

https://parallel.bas.bg/~georgiev/KG_CV_en.html
https://scholar.google.com/citations?user=v5ftbUcAAAAJ&hl=en
https://www.researchgate.net/profile/Krassimir-Georgiev

WOS ResearcherID: DWA-8120-2022

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