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Lunch Pitch with András Bota and Niklas Lundström: Modelling Spreading Processes and  Optimal Management Strategies

To encourage cross pollination of ideas between researchers from different disciplines, IceLab hosts interdisciplinary research lunches with the vision of allowing ideas to meet and mate. During the Lunch Pitch Season, the creative lunches take place at KBC every other Tuesday.

Place: KBCon Lilla Fokusrum  (KBC Focus Environment’s glass room), KBC
Time: Tuesday 22 January at 12:00.

Sign up here for a free sandwich before Monday 21 January 10:00! 

First Pitcher:

András Bota

Postdoctoral Fellow at Department of Physics

Title: Modelling spreading processes in epidemics, economics and social networks

András is a computer scientist working in IceLab. He completed his undergraduate and postgraduate studies in Hungary. He started working with networks during his PhD studies, focusing first on community detection, then on modelling the spreading of information, economic events and diseases on networks. After finishing his doctoral studies, he spent two years at the University of New South Wales in Sydney as a researcher modelling epidemic spreading on public transportation networks. He recently moved to Umea and continues working with networks.


Networks can serve as the basis of infection or diffusion processes. This is a well-studied field with many applications. Infection models are frequently used to model the spreading of infectious diseases between people, the spreading of information and behaviour on social networks or the spread of economic events. In his talk, András shows a few real-life problems and their solutions in this field and elaborates on how you can use them in your own work.


Second Pitcher:

Niklas Lundström

Associate senior lecturer (assistant professor) at Department of Mathematics and Mathematical Statistics

Title: Optimal management strategies for run-of-river hydropower plants

Niklas Lundström is a lecturer at the department of mathematics and mathematical statistics working mainly in the field of differential equations. Niklas is studying boundary behavior and growth at infinity of solutions to p-Laplace-type equations, as well as existence, uniqueness and regularity questions of solutions to systems of nonlinear partial differential equations related to optimization problems. In the field of dynamical systems, Niklas interest is mainly nonlocal stability questions and how to apply the theory in e.g. biology and mechanical engineering.


We are trying to use the well known optimal-switching theory, developed mainly for portfolio optimization, to find efficient management strategies for so called run-of-river hydropower plants. Along the way of creating these strategies, we try to build models for the random flow of water based on stochastic differential equations, and fit these models to historical data and forecasts. Run-of-river hydropower plants are cost-effective, simple, and environmentally friendly, as the natural flow in the river is preserved (besides at the location of the power plant).

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