Rate My Professor Radislav Vaisman

Vaisman joined the University of Queensland as a Postdoctoral Research Fellow in the School of Mathematics and Physics in 2014 and advanced to Lecturer in 2017. His research lies at the intersection of applied probability, stochastic simulation, statistics, and computer science, addressing machine learning, optimization, safety and system reliability, rare-event simulation, advanced Monte Carlo methods, evolutionary computation, combinatorial optimization, and counting. He has authored three books: Fast Sequential Monte Carlo Methods for Counting and Optimization (Wiley, 2013, with R.Y. Rubinstein and A. Ridder), Ternary Networks: Reliability and Monte Carlo (Springer, 2014, with I. Gertsbakh and Y. Shpungin), and Data Science and Machine Learning: Mathematical and Statistical Methods (CRC Press, 2019, with D.P. Kroese, Z.I. Botev, and T. Taimre). Key publications include 'Data science and machine learning: mathematical and statistical methods' (2019, 177 citations), 'Optimal balanced chain decomposition of partially ordered sets with applications to operating cost minimization in aircraft routing problems' (2023, with I.B. Gertsbakh), 'Reliability and importance measure analysis of networks with shared risk link groups' (2021, with Y. Sun), and 'Sequential stratified splitting for efficient Monte Carlo integration' (2021). Vaisman introduced the Stochastic Enumeration algorithm, enabling solutions to intractable problems, and has published in journals such as IEEE Transactions on Reliability, Reliability Engineering and System Safety, and Networks. He serves on the editorial board of Stochastic Models and has secured grants including Analytics for the Australian Grains Industry (Grains Research & Development Corporation, 2023–2027) and a full Ph.D. scholarship from the Technion (2010–2014).