lunduniversity.lu.se

Automatic Control

Faculty of Engineering, LTH

Automatic Control  

LTH best Master's thesis

Johanna Wilroth has been awarded the prize "LTHs Jubileumsstipendium 2020" for the best master thesis at LTH. In her thesis "Domain Adaptation for Attention Steering," Wilroth studied novel algorithms for improving the performance of hearing aids using EEG signals in combination with auditory input. The master thesis was done at the Department of Automatic Control, with Carolina Bergeling as main supervisor, in collaboration with the research center Eriksholm/Oticon in Denmark. The collaboration also involved the departments of Psychology and Mathematical Statistics at Lund University.

Paper Award

We congratulate Marcus Greiff (to the right in the photo) and co-authors Anders Robertsson (left) and Karl Berntorp (middle) who was awarded the 2020 IEEE CCTA Best Student Paper Award for the paper "MSE-Optimal Measurement Dimension Reduction in Gaussian Filtering”.

 

AI Lund lunch seminar: One year with Covid-19: what have we learnt?

Seminarium

From: 2021-03-24 12:00 to 13:15
Place: Online - link by registration
Contact: Jonas [dot] Wisbrant [at] cs [dot] lth [dot] se
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About modelling and forecasting of how interventions might affect pandemics...

 

Title: One year with Covid-19: what have we learnt?

When: 24 March at 12.00-13.15

Speakers: Bo Bernhardsson and Kristian Soltesz, Dept. of Automatic Control

Host and moderator: Kalle Åström, AI Lund

Abstract

Just over a year has passed since the first confirmed Covid-19 case in Sweden. Throughout this year we have followed the epidemiological evolution through the lens of dynamical systems and control. In this talk we look back and try to summarize what we have learnt, focusing on four topics:

  1. We will talk about how early attempts to understand the effects of non-pharmaceitical interventions (NPIs) such as lockdowns, school closures and public events bans, have likely affected policymakers.
  2. Next, we consider the prospect of defeating the virus through testing, tracing and case isolation, being broadly recognized as a less invasive potential alternative to mandated societal lockdowns.
  3. With Sweden as our case, we then look at publicly available data and apply simple data-driven modelling techniques in an attempt to retrospectively estimate some key epidemiological parameters.
  4. Inspired by the above topics, we finally discuss how cost-effective changes in how data is collected could possibly contribute to less uncertain estimation (and prediction) in future infectious disease epidemics.

Related

Registration

Please register at: http://ai.lu.se/events/registration-2021-03-24 in order to get an access link to the zoom platform.



Recent Publications

Welcome to KC4!

In May, we moved to temporary offices at KC4 in Kemicentrum. Here we will stay for two years while the M-building is being renovated. See "contact" (in About) for the new visiting adress.

Formula Student

The department has a collaboration with the Lund Formula Student team, who are developing a fully autonomous race car to compete in Formula Student events all across Europe. They are always looking for interested and talented team members. If you are interested in a wide variety of technologies such as neural networks, control theory, ROS, etc, please visit their website or contact them at: technical.driverless@lundformulastudent.se.