Slava Vaisman

Radislav (Slava) Vaisman is a faculty member in the School of Mathematics and Physics at the University of Queensland. Radislav earned his Ph.D. in Information System Engineering from the Technion, Israel Institute of Technology in 2014. Radislav’s research interests lie at the intersection of applied probability, statistics, and computer science. Such a multidisciplinary combination allows him to handle both theoretical and real-life problems, in the fields of machine learning, optimization, safety, and system reliability research, and more. He has published in top-ranking journals such as Statistics and Computing, INFORMS, Journal on Computing, Structural Safety, and IEEE Transactions on Reliability. The Stochastic Enumeration algorithm, which was introduced and analyzed by Radislav Vaisman, had led to the efficient solution of several problems that were out of reach of state of the art methods. In addition, he is an author of 3 books with three of the most prestigious publishers in the field, Wiley, Springer, and CRC Press. Radislav serves on the editorial board of the Stochastic Models journal. Data science, Statistics and Machine Learning, Rare Event Simulation and Modelling, System Reliability, Evolutionary Computation, Advanced Monte Carlo Methods and Randomized Algorithms, Stochastic Optimization and Counting, Graphical Models, Markov Decision Processes and Planning under uncertainty

[2025] Quantifying hydrogen technology acceptance: Insights from Bayesian networks. Herr, Daniel, Scovell, Mitchell, Kinaev, Nikolai and Vaisman, Radislav (2025). Energy and Climate Change, 6 100201, 1-21. doi: 10.1016/j.egycc.2025.100201 [2025] Improved likelihood estimation for noisy gamma degradation processes via sequential Monte Carlo. Buist, Merel, Vaisman, Radislav and Vlasiou, Maria (2025). Communications in Statistics: Simulation and Computation, 54 (9), 3520-3544. doi: 10.1080/03610918.2024.2358128 [2024] On the benefit of robust Bayesian confirmatory factor analysis. Vaisman, Radislav, Scovell, Mitchell, Kinaev, Nikolai and Fernandez, Javier (2024). Structural Equation Modeling, 32 (4), 579-589. doi: 10.1080/10705511.2024.2431981 [2024] On alternative monte carlo methods for par