Radislav Vaisman

Radislav (Slava) Vaisman is a Senior Lecturer in the School of Mathematics and Physics at the University of Queensland. He earned his Ph.D. in Information Systems Engineering from the Technion – Israel Institute of Technology in 2014 with a dissertation on Stochastic Methods for Counting, Rare-Events and Optimization. He also holds an M.Sc. in Computer Science from the Open University of Israel, completed with honors in 2010, and a B.Sc. in Information Systems Engineering from the Technion in 2004. Before focusing on academia, Vaisman worked as a Senior Software Engineer at Tech-Mer Ltd from 2006 to 2010, where he contributed to communication and control systems for the Iron Dome project, and as a Software Engineer at Ness Technologies Ltd from 2004 to 2006 on government information systems projects.

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).