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”.

 

ELLIIT Online workshop 2021

Seminarium

From: 2021-04-15 13:00 to 16:00
Place: Online
Contact: fredrik [dot] tufvesson [at] eit [dot] lth [dot] se
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This online workshop provides an opportunity for the ELLIIT community, and others with an interest in the ELLIIT Program, to get the latest news from ELLIIT Faculty and ELLIIT projects, as well as an update on coming initiatives.

This online workshop has a focus on recent recruitments and new projects and will be followed by a
traditional two-day on-site workshop in Lund on 26-27 October, later this year.

More information and updated program can be found on the ELLIIT webpage at liu.se.

Registration

Please register (by 13 April at the latest): https://www.lyyti.in/ELLIIT_online_workshop_2021
 



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.