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Research and collaboration at the Department of Informatics

Our research The research at the department focuses broadly on digital transformation and includes both the process of this transformation and its impact on users and society. Some of the specific topics of research are: decision automation and decision support systems, green and sustainable information systems and smart cities, artificial intelligence and human-AI hybrids, information security an

https://www.lusem.lu.se/organisation/department-informatics/research-and-collaboration-department-informatics - 2025-12-28

Two Flavors of 4kb Standard-Cell Based Subvt Memory in 65 nm CMOS

Ultra-low power (ULP) biomedical implants and sensor nodes typically require small memories of a few kb, while previous work on reliable subthreshold (sub-VT) memories targets several hundreds of kb. Standard-cell based memories (SCMs) are a straightforward approach to realize robust sub- VT storage arrays and fill the gap of missing sub-VT memory compilers. This paper presents an ultra-low-leakag

Multirobot Tethering for Localization and Control

We investigate the use of particle filter (PF) estimation techniques on a hovercraft vehicle in an office environment. Monte Carlo Localization (MCL) with particle filtering is a popular method for localizing robots with laser range finders. In maps featuring long, uniform corridors though, a PF can produce low confidence estimates. When used as feedback to control an unstable vehicle this can pro

Pseudo-Boolean Optimization: Theory and Applications in Vision

Many problems in computer vision, such as stereo, segmentation and denoising can be formulated as pseudo-boolean optimization problems. Over the last decade, graphs cuts have become a standard tool for solving such problems. The last couple of years have seen a great advancement in the methods used to minimize pseudoboolean functions of higher order than quadratic. In this paper, we give an overvi

Automatic Creation of Multilingual Semantic Networks from Wikipedia

This paper describes the automatic creation of semantic networks from Wikipedia. Following Lipczak et al. (2014), we constructed the graphs corresponding to the semantic networks by merging across languages the categories manually assigned by the users. This results in a network of related concepts for each entity of Wikipedia. We used these networks as a component of an entity linking system. the

Research funding news march 2015

PowerPoint-presentation CEC Research Funding News March 2015 Research Funding News at CEC – Special Issue on VR and FORMAS The year has started actively. In the CEC Lunch room last years publications has been taken down, and the abstracts from this years published articles are increasingly covering the wall. Do add your own publications when they arrive! This CEC Funding news includes special info

https://www.cec.lu.se/sites/cec.lu.se/files/research_funding_news_march_2015.pdf - 2025-12-29