Alexander Karlsson
Associate Professor of Informatics
School of Informatics
Room PA520H
Phone 0500-448332
Not available
Research
Publications
Projects
2025
Procedia Computer Science
2025. Article.
https://doi.org/10.1016/j.procs.2025.03.100
Engineering applications of artificial intelligence
2025. Article.
https://doi.org/10.1016/j.engappai.2024.109574
2024
3rd International Conference on Water Management in Changing Conditions: Book of abstracts
2024. Conference paper, oral presentation with abstract.
Condition Monitoring of a Machine Tool Ballscrew Using Wavelet Transform based Unsupervised Learning
Procedia CIRP
2024. Article.
https://doi.org/10.1016/j.procir.2024.10.098
ACM Transactions on Probabilistic Machine Learning
2024. Article.
https://doi.org/10.1145/3688573
2023
2023. Report.
Journal of Ambient Intelligence and Humanized Computing
2023. Article.
https://doi.org/10.1007/s12652-019-01372-5
ICMLC 2023: Proceedings of 2023 15th International Conference on Machine Learning and Computing, Zhuhai, China, February 17-20, 2023
2023. Conference paper.
https://doi.org/10.1145/3587716.3587758
2022
ISIF Perspectives on Information Fusion
2022. Article.
IEEE Open Journal of Intelligent Transportation Systems
2022. Article, review.
https://doi.org/10.1109/ojits.2022.3197296
2021
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Ongoing projects
Intelligent Driver Support Systems and Safety Enhancement
I2Connect focuses on developing next generation of Advanced Driver Assistance Systems (ADAS) for trucks. The emphasis will be on developing algorithms for fusion and situation assessment and prediction based on Evidence Theory, as well as adaptive human-machine interfaces (HMI).
November 2023 - May 2026 InformaticsFinished projects
Predictive Maintenance with Internet-of-Things and Digital Twins
Predictive maintenance is one of the major thrust areas for many global manufacturing companies. Artificial intelligence, big data analytics and industrial internet of things (IoT) have already shown great potential in the area of maintenance. However, as more companies adopt these technologies, several key challenges have emerged hindering the progress towards complete digitalization of maintenance operations.
December 2021 - November 2024 Virtual EngineeringCan AI streamline the iron and steel industry?
The iron and steel industry needs to be streamlined and the amount of scrap reduced to increase returns. What is required is a faster and more reliable production with stricter tolerances – then better products are created that reach the customer faster. This project, INSITE-X, will develop an AI-based prototype for detailed simulation of dynamic production-behaviour of critical machines, to increase process understanding and control.
March 2021 - February 2024 InformaticsSTRATUS – AI for climate adaption
This project aims to identify, adjust and implement AI methods to improve and create a more resilient drinking water production and distribution, where the operators at the drinking water plants are supported in their decision making processes.
November 2021 - November 2023 InformaticsIntention recognition for real-time automotive 3D situation awareness
Intention recognition is the task of inferring an agent´s intention based on its previous actions. It is crucial for human social intelligence which in turn enables understanding of, and for the ability to predict, other humans´ behaviours, such as for example other drivers´ intent to overtake, stop, turn, or switch lanes. For making situation-based decisions, both autonomous and human drivers need to take the intentions of surrounding vehicles into account. This is especially true in a mix of autonomous and human drivers.
January 2019 - December 2022 InformaticsPACA
Predictive Maintenance (PdM) using Artificial Intelligence (AI) and Machine Learning (ML) is the top-ranked use case in terms of business value of industrial digitalization. Not surprising since the annual maintenance cost in Swedish manufacturing industry is over 100 billion SEK and 60% of all maintenance activities are reactive.
March 2019 - February 2022 InformaticsA smarter society through Big Data analytics
An unprecedented growth of data, fed by novel technologies, user behaviour and business models, is one of the most dramatic and important developments in both ICT and society at large. Most of this is Big Data, characterised by vast volume, high velocity, large variety and unknown veracity. These properties pose significant challenges when collecting, managing and processing data.
January 2015 - January 2020 InformaticsBISON: Better decisions through Big Data
Big data has gained much interesting in recent years due to the rapid expansion of the massive amount of data that is available for solving different types of tasks within many different application domains. However, today's big data is still on a fairly low level of abstraction when it comes to complex decision support tasks, subject to e.g. high dimensionality and significant portions of uncertainty regarding which patterns to look for in the data.
October 2015 - September 2019 InformaticsBioinformatics - Biomedical Big Data
The aim of this project is to contribute with improved methods for analysis, integration, and visualization of biomedical big data. Recent years it has been a massive digitalization of all types of data and information in the society and the majority of all information in the world is nowadays anticipated to be digitalized. This encompasses enormous possibilities for generation of new knowledge but also puts demands on competence and tools for analysis and interpretation of big and complex data, e.g. to identify and extract patterns and information from different data sources. To meet these increasing demands of large-scale data analysis more competence, better and faster algorithms, and powerful computers are needed for execution these algorithms.
October 2015 - September 2019 Systems Biology