The group is currently involved in several national projects within the area of data science and its applications to healthcare, law, public health policies for pandemics, and finance. Current project collaborators include other academic and research institutions, public authorities, healthcare providers, as well as industrial peers. The group has successfully completed several national and international projects resultng in peer-reviewed publications, source code packages, and demos.
Ongoing Projects
Artificial Intelligence-driven Digital Twin for Smart Buildings
AI for Digital Twins
Atrium Ljunberg: 2023-2027
Let's talk about non-verbal communication
Interpersonal Psychotherapeutic Interactions and AI
Marcus and Amalia Wallenberg Foundation: 2023-2025
EFRA
Extreme Food Risk Analytics
European Union: 2023-2025
RAPIDS
Reliable Adaptive Predictive maintenance and Intelligent Decision Support
Vinnova-Scania: 2022-2024
Efficient ML in Complex Networks
Swedish Research Council: 2021-2024
EXTREMUM
Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources
Digital Futures: 2020-2024
Completed Projects
ASME
Artificial Intelligence Supporting Melanoma Patients
European Commission, Horizon Europe: 2022
AutoGrade
Automatic grading of electronic exams
Internal pilot project: 2021-2022
NLP-assisted troubleshooting
NLP to assist troubleshooting management
Project in collaboration with Scania: 2021
Covid-Sim
Artificial Intelligence for Simulating and Mitigating Pandemics
Vinnova: 2020-2021
EXTREME - Pilot
Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources
Digital Futures: 2019-2020
3AI
Automated Auditing using AI
Swedish Research Council: 2020-2021
TEMPOMiner
Temporal Data Mining for Detecting Adverse Events in Healthcare
Swedish Research Council: 2017-2020
TROPICAL
Network traffic control and prediction using artificial intelligence
HW Flagship: 2019
CorIL
Analyzing registry data to improve treatment of heart failure
Reg. Stockholm/SU: 2017-2019
IRIS
Forecasted individual maintenance support based on systematic knowledge of component states in inhomogeneous fleets of vehicles
Vinnova: 2012-2016