Ton Dieker will join the faculty of Georgia Tech's H. Milton Stewart School of Industrial and Systems Engineering as an assistant professor starting 11 August 2008.

Dieker works in Applied Probability and his research is motivated in part by applications to communication networks and to business processes such as workforce management and service systems. He has worked on simulation techniques, on random processes with long memory and heavy tails, and on diffusion approximations.

His current projects include:
- Capacity planning for diffusion approximations of stochastic networks (in collaboration with M.S. Squillante and S. Ghosh, IBM Research, NY)
- Long-term behavior of diffusion approximations (in collaboration with John Moriarty, University of Manchester, UK).
- Connections between queues in series, non-colliding processes, and random matrices (in collaboration with Jon Warren, University of Warwick, UK)

Dieker comes to Georgia Tech from the IBM T. J. Watson Research Center in Yorktown Heights, NY, where he spent a year as the 2007-2008 IBM Herman Goldstine Memorial Postdoctoral Fellow in Mathematical Sciences. Prior to that, he worked at the University College Cork, Ireland, as a postdoctoral researcher.

Dieker earned his master's degree in Operations Research from the Vrije Universiteit Amsterdam in 2002. In 2006, he defended his PhD thesis, Extremes and fluid queues, at the University of Amsterdam. His thesis was awarded both an Applied Probability Trust Award and the 2006 Stieltjes prize for Mathematics.