School of Mathematics and Physics

Dr Radislav (Slava) Vaisman

Contents: Contact information Research interests Publications Research students Software Talks Teaching Other links

Contact information

Dr Radislav Vaisman
Room 450, Priestley Building (67)
School of Mathematics and Physics
University of Queensland
Brisbane St Lucia, QLD 4072

Phone: (+61)-7 336 53264
Email: r.vaisman@uq.edu.au

About me

I am a Lecturer in Data Science in the School of Mathematics and Physics in the University of Queensland. My research lies in the field of applied probability, stochastic simulation and machine learning. In particular, I am interested in the rare-events. These events are of great interest in many areas such as theoretical computer science, optimization and counting. My Google Scholar. My CV can be found here.

Research interests


Books

R.Y. Rubinstein, A. Ridder and R. Vaisman,
Fast Sequential Monte Carlo Methods for Counting and Optimization,
John Wiley & Sons, 2013.

Order Information:
[ Wiley | Amazon ]
I. Gertsbakh, Y. Shpungin and R. Vaisman,
Ternary Networks: Reliability and Monte Carlo,
SpringerBriefs in Electrical and Computer Engineering, 2013.

Order Information:
[ Springer | Amazon ]

Research publications

    Books

  1. R.Y. Rubinstein, A. Ridder and R. Vaisman, Fast Sequential Monte Carlo Methods for Counting and Optimization, John Wiley & Sons, 2013.

  2. I. B. Gertsbakh, Y. Shpungin and R. Vaisman, Ternary Networks: Reliability and Monte Carlo, SpringerBriefs in Electrical and Computer Engineering, 2013.

  3. Book chapters

  4. Reliability of a Network with Heterogeneous Components
    I. B. Gertsbakh, Y. Shpungin and R. Vaisman, in "Recent Advances in Multi- state Systems Reliability: Theory and Applications". Springer Series in Reliability Engineering book series, pages 3-18, Cham, 2018.

  5. Journals

  6. On the Analysis of Independent Sets via Multilevel Splitting
    R. Vaisman, D. P. Kroese, (23/12/17). Accepted for publication in Networks.

  7. The Multilevel Splitting Algorithm for Graph Coloring with Application to the Potts Model
    R. Vaisman, M. Roughan and D. P. Kroese, (13/03/2017). Accepted for publication in Philosophical Magazine. http://dx.doi.org/10.1080/14786435.2017.1312023

  8. Resilience of Finite Networks Against Simple and Combined Attack on Their Nodes
    I. B. Gertsbakh and R. Vaisman. Electronic Journal: Reliability: Theory & Applications, Vol. 11, (43) (12/2016).

  9. On a Single Discrete Scale for Preventive Maintenance with Two Shock Processes Affeecting a Complex System
    M. Finkelstein, I. B. Gertsbakh, and R. Vaisman (2016). Applied Stochastic Models in Business and Industry. Accepted for publication.

  10. Splitting Sequential Monte Carlo for Efficient Unreliability Estimation of Highly Reliable Networks
    R. Vaisman, D. P. Kroese and I. B. Gertsbakh, (11/2016). Structural Safety Vol. 63, 2016, pp. 1-10, paper.

  11. Stochastic Enumeration Method for Counting Trees
    R. Vaisman and D. P. Kroese. Methodology & Computing in Applied Probability. Published online paper (7/2015).

  12. D-spectrum and Reliability of a Binary System With Ternary Components
    I. Gertsbakh, Y. Shpungin and R. Vaisman Prob. in Eng. and Inf. Sciences. Published online, Vol. 30, No. 1, 2016, pp. 25-39, paper (10/2015).

  13. Improved Sampling Plans for Combinatorial Invariants of Coherent Systems
    R. Vaisman, D. P. Kroese and I. B. Gertsbakh, IEEE Trans. Rel. Published online, Vol. 65, No. 1, 2016, pp. 410-424, paper (7/2015).

  14. Sequential Monte Carlo for Counting Vertex Covers in General Graphs
    R. Vaisman, Z. I. Botev and A. Ridder, (2014). Statistics and Computing, Published online, Vol. 26, No. 3, 2016, pp. 591-607, paper (02/2015).

  15. Model counting of monotone CNF formulas with Spectra
    R. Vaisman, O. Strichman and I. B. Gertsbakh, (2014). INFORMS, Journal on Computing. Published online, Vol. 27, No. 2, 2015, pp. 406-415, paper.

  16. Network Reliability Monte Carlo With Nodes Subject to Failure
    I. Gertsbakh, Y. Shpungin and R. Vaisman, International Journal of Performability Engineering, Vol. 10, No. 2, 2014, pp. 161-170.

  17. Permutational Methods for Performance Analysis of Stochastic Flow Networks
    I. Gertsbakh, R. Y. Rubinstein, Y. Shpungin and R. Vaisman, Prob. in Eng. and Inf. Sciences, Vol. 28, No. 1, 2014, pp. 21-38.

  18. Monte Carlo for estimating exponential convolution
    I. Gertsbach, E. Newman, and R. Vaisman, Communications in Statistics - Simulation and Computation, Vol. 44, No. 10, 2015, pp. 2696-2704.

  19. Counting with Combined Splitting and Capture - Recapture Methods
    P. Dupuis, B. Kaynar, A. Ridder, R. Y. Rubinstein, and R. Vaisman, Stochastic Models, Vol. 28, No. 3, 2012, pp. 478-502.

  20. The Splitting Method for Decision Making
    R. Y. Rubinstein, A. Dolgin, and R. Vaisman, Communications in Statistics - Simulation and Computation, Vol. 41, No. 6, 2012, pp. 905-921.

  21. On the Use of Smoothing to Improve the Performance of the Splitting Method
    F. C'erou, A. Guyader, R. Y. Rubinstein, and R. Vaisman, Stochastic Models, Vol. 27, No. 4, 2011, pp. 629-650.

  22. How to Generate Uniform Samples on Discrete Sets Using the Splitting Method
    P. Glynn, A. Dolgin, R. Y. Rubinstein, and R. Vaisman, Prob. in Eng. and Inf. Sciences, Vol. 24, No. 3, 2010, pp. 405-422.
  23. Refereed Conference Proceedings

  24. Decision-Making with Cross-Entropy for Self-Adaptation
    G. A. Moreno, S. Chaki, O. Strichman and R. Vaisman, Proceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 22-23, 2017. doi:10.1109/SEAMS.2017.7

  25. Estimating the Number of Vertices in Convex Polytopes
    R. Salomone, R. Vaisman and D. P. Kroese, Proceedings of the Annual International Conference on Operations Research and Statistics, ORS 2016. doi:10.5176/2251-1938_ORS16.25

  26. New Sampling Plans for Estimating Residual Connectedness Reliability
    R. Shah and R. Vaisman, Proceedings of the Annual International Conference on Operations Research and Statistics, ORS 2016. doi:10.5176/2251-1938_ORS16.18

  27. D-spectra for Networks with Binary and Ternary Components
    I. B. Gertsbakh, Y. Shpungin and R. Vaisman Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO’16), Beer-Sheva, Israel, 2016. doi:10.1109/SMRLO.2016.44

  28. Reliability of Stochastic Flow Networks with continuous link capacities
    Z. I. Botev, R. Vaisman, R. Y. Rubinstein and P. L'Ecuyer, (2014). In proceedings of the 2014 Winter Simulation Conference, Savannah, GA, USA. doi:10.1109/WSC.2014.7019919


  29. PhD Dissertation

    Stochastic Enumeration Methods for Counting, Rare-Events and Optimization. Technion, Israle Institute of Technology, (2014).

    Technical Reports

  1. Using D-spectra for Calculating Network Residual Resilience After Random Attack on Its Nodes or Edges
    I. B. Gertsbakh, Y. Shpungin and R. Vaisman.

Research Students

Software


Talks


Teaching



Links