News
Stochastics group news
CWI researchers analyze suicide prevention help calls during pandemic
Salim Salmi, PhD-student in CWI's Stochastics group, analyzed conversations between Stichting 113 Suicide Prevention caregivers and clients before and during the COVID-19 pandemic.
Cum laude for optimization of hinterland transportation
At large deep-sea ports tens of thousands of containers are handled daily. PhD student Bernard Zweers of CWI's Stochastics group investigated how these containers can be transported to the hinterland as efficient …
CWI researchers develop new mathematical framework to explain the emergence of large blackouts
The study shows that the statistical distribution of blackout sizes can be linked to city sizes. Bert Zwart and his colleagues indicate that it might be more effective to help consumers react …
In Memoriam Willem van Zwet (1934-2020)
Prof. Willem van Zwet from Leiden University was advisor to the Mathematisch Centrum (now called CWI) from 1965-1984, chair of CWI’s Science Committee and Member of the Board. Throughout his career, Van …
CWI develops new mathematical techniques for optimal relocation and dispatch of fire trucks
On Monday 11 May Dmitrii Usanov will defend his PhD thesis. His research focused on dispatching and relocating resources in the emergency domain and the reduction of response times.
NEW PROBABILISTIC TECHNIQUES FOR THE ANALYSIS OF ENERGY NETWORKS UNDER UNCERTAINTY
Tommaso Nesti, PhD student at CWI’s Stochastics group, has developed new mathematical techniques to help model, control and operate modern-day power grids in the presence of uncertainty.
CWI starts development of statistical framework for prediction of fires
Recently, a project submitted to NWO-TTW's open technology programme by a consortium consisting of researchers from CWI, UT, Thales and the Twente Fire Brigade has been granted.
CWI develops new mathematical tools for analysis of rare events
PhD student Bohan Chen of CWI’s Stochastics group, developed new mathematical tools for rare event analysis. Chen’s PhD research has mainly focused on large deviations theory and rare-event simulation in heavy-tailed settings.
