Symposium

The Mathematisch Instituut will host a symposium on Tuesday, November 4th on the occasion of the retirement of professor Floske Spieksma. Floske Spieksma is Professor of Mathematics of Operations Research, specialized in stochastic optimization. This symposium is being held in celebration of her contributions to the field and the impact she has had on those she taught and mentored. 

Organizers

Odysseas Kanavetas, Mathematical Institute Leiden Universiteit, E: o.kanavetas@math.leidenuniv.nl
Ad Ridder, Operations Analytics, Vrije Universiteit Amsterdam, E: ad.ridder@vu.nl

PROGRAM

10:00 - 10:15 Welcome

10:15 - 11:00 Michael Katehakis (Rutgers Business School)
                              From MDPs to Reinforcement Learning: Challenges and Recent Advances

11:00 - 11:30 Coffee break

11:30 - 12:00 Sandjai Bhulai (Vrije Universiteit Amsterdam)
                              The hidden value of ergodicity: a tale in optimal control

12:00 - 12:30 Marta Fiocco (Leiden Universiteit)
                              Methodological evaluation of hospital performance classification

12:30 - 14:00 Lunch break

14:00 - 14:45 Konstantin Avrachenkov (INRIA, Sophia Antipolis - Méditerranée, France)
                                Restart in Markov chains and decision processes

14:45 - 15:15 Richard Boucherie (University of Twente)
                    Assigning jobs to parallel queues under routing delays to maximize the probability of meeting a  sojourn time target

15:15 - 15:45 Tea break

15:45 - 16:00 Former PhD student(s)

16:00 - 16:30 Stella Kapadistria (Eindhoven University of Technology)
                              Optimal decision-making under parameter uncertainty

16:30 - 18:00 Drinks

Registration

Admittance is free. For catering services we like you to register via this registration link. The drinks and snacks are included but lunch is at your own cost. 

Valedictory Lecture

Floske will deliver her valedictory lecture (agscheidsrede) on Monday 3 November. More information and registration on this page.