Ad Ridder is an associate professor of Operations Research at the Department of Econometrics and Operations Research, Vrije Universiteit, Amsterdam, the Netherlands, where he teaches courses on stochastic operations research, numerical methods, and computer simulation. He obtained his MSc in Mathematics from the University of Amsterdam in 1983, and his PhD in Operations Research from Leiden University in 1987. His affiliations after his graduation include the University of California at Berkeley and the Rotterdam School of Management of Erasmus University. In 2000 he received the Goodeve Medal for the most outstanding contribution in the journals published by the Operational Research Society (UK) in 2000, and in 2016 he received an award for Best Theoretical Paper at the Winter Simulation Conference 2016. He serves as a board member of the Netherlands Society of Statistics and Operations Research since 2011. He was member of the organizing committee of several conferences and workshops, most recently the chair of the 10th International Workshop on Rare Event Simulation in 2014, and co-chair of the 11th Workshop on Retrial Queues and Related Topics in 2016. He has supervised 3 PhD students in the field of his research interest, which is in efficient simulation methodologies for complex stochastic systems, with a focus on rare-event-related techniques. He is co-author of the book Fast Sequential Monte Carlo Methods for Counting and Optimization, Wiley, 2014.
dr. Ad Ridder
Visiting Fellow, School of Business and Economics, Operations Analytics
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My research interests are broadly speaken stochastic models and their applications, and more specifically:
- Stochastic Modeling and Simulation
- Logistic and Financial Systems
- Efficient Simulation Techniques
- Rare-event Analysis and Simulation
- Numerical methods for Markov Chains
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