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2026 STOCHASTICA Colloquium, August 2026

The 2026 STOCHASTICA Colloquium took place in the University of Niš, Serbia, over August 26-28, 2026.

The local organizer of the event is the Faculty of Sciences and Mathematics, University of Niš, Serbia.

This workshop will serve as a forum for researchers to discuss and further develop research directions established at the STOCHASTICA Directions Workshop, held at University College Cork over April 27–29, 2026.

The program included plenary scientific talks by invited speakers, poster presentations, and dedicated discussion sessions.

 

Programme

All times are Serbian Summer Time (GMT+2). Click on the title of any talk below to view abstracts.

Wednesday 26 August, 2026

Time Speaker/Event Title
09:00-09:40 Registration and refreshments  
09:40-10:00

Welcome

 
10:00-10:35 Aleksandar Mijatovic

Reflected Brownian motion in generalised parabolic domains

Aleksandar Mijatovic Slides 

10:35-11:10 Tomasz Klimsiak

Dynkin games and related PDEs

11:10-11:30 Coffee Break  
11:30-12:05 Petr Čoupek Path regularity of solutions to SDEs with multiplicative fractional noise
12:05-12:40 Utku Erdogan

Numerical Simulation of Fractional-Noise SDEs for All Hurst Parameters via Wick-–Ito–-Skorohod Integration    

Utku Erdogan slides

12:40-14:25 Lunch  
14:25-15:00 Victoria Knopova

On a ''dynamic'' approximation of a Levy process and its application to Levy-driven SDEs

Victoria Knopova slides

15:00-15:35 Giorgos Vasdekis Skew-symmetric schemes for robust SDE sampling
15:35-15:55 Coffee Break  
15:55-16:30 Adrien Busnot Laurent

Intrinsic integrators for the weak and ergodic approximation of stochastic dynamics on manifolds

Adrien Busnot Laurent Slides

16:30-17:05 Erwin Luesink Underdamped Langevin dynamics on the rotation group
17:05-1900 Photo & Poster session & reception with food & wine  

Thursday 27 August, 2026

Time Speaker/Event Title
09:00-11:30 Social Event

 

11:30-11:50 Coffee Break 

 

11:50-12:25 Mihály Kovács

A regularized truncated finite element method  for a degenerate parabolic stochastic PDE on non-compact graphs

Mihaly Kovacs slides

12:25-13:00 Katharina Klioba

Milstein-type Schemes for Hyperbolic SPDEs

Katharina Klioba slides

13:00-14:45 Lunch

 

14:45-15:20 Verena Schwartz Approximation of the Levy-driven stochastic heat equation on the sphere
15:20-15:55 Abhishek Chaudhary

A higher order discretization for the stochastic Navier--Stokes

15:55-16:15 Coffee Break

 

16:15-16:50 Erika Hausenblas Splitting scheme for stochastic evolution equations
16:50-17:25 Anne de Bouard

Finite volume schemes for the stochastic heat equation with transport noise

17:25-17:45 Coffee Break  
17:45-18:20 Oana Lang

Global solutions in stochastic fluid dynamics models

Oana Lang slides

18:20-18:55 Geir-Arne Fuglstad

Statistical spatio-temporal modelling with SPDEs

Geir-Arne Fuglstad slides

20:00- DInner  

Friday 28 August, 2026

Time Speaker/Event Title
09:00-09:35 Josef Teichmann Path dependent modeling in Finance and Technology
09:35-10:10 Dušan Đorđević

Analytical approximations of solutions of SDEs by applying Taylor series

Dušan Đorđević slides

10:10-10:45 Irene Tubikanec

Splitting methods for stochastic Hodgkin-Huxley type systems

Irene Tubikanec slidesIrene Tubikanec slides

10:45-11:05 Coffee Break

 

11:05-11:40 Bojana Jovanović

Capturing memory and randomness in epidemic dynamics

Bojana Jovanovic slidesBojana Jovanovic slides

11:40-12:15

Kostiantyn Ralchenko

Drift parameter estimation in CIR and CKLS models

Kostiantyn Ralchenko slidesKostiantyn Ralchenko slides

12:15-12:30

Closure

 
14:00-17:00 MC meeting with coffee break at 3 (Management Committee members only)

Funded by

This event is based upon work from COST Action STOCHASTICA CA24104, supported by COST (European Cooperation in Science and Technology).

COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with  their peers. This boosts their research, career and innovation.

STOCHASTICA

CA24104 - Stochastic Differential Equations: Computation, Inference, Applications

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