Jönköping AI Lab – JAIL
The Department of Computing hosts the Jönköping AI Lab (JAIL).
JAIL's core competencies include:
- Machine Learning
- Data Mining and Knowledge Discovery
- Ontologies and the Semantic Web
- Visualization and Human-Computer Interaction
- Explainable AI
We apply these competencies within several domains, including:
- Retain
- Production industry
- Security and defence
- Healthcare
- Smart buildings and connected cities
- Agriculture and forestry
- AI transformation for business, and the organizational consequences thereof
- Sports analytics
Staff
Department of Computing
- Senior Associate Professor
- School of Engineering
- lars.carlsson@ju.se
- +46 36-10 1459
- Doctoral Student
- School of Engineering
- marcus.gullstrand@ju.se
- +46 36-10 1458
- Assistant Professor
- School of Engineering
- maria.hedblom@ju.se
- +46 36-10 1204
- Senior Advisor
- School of Engineering
- Professor
- School of Engineering
- ulf.johansson@ju.se
- +46 36-10 1743
- Senior Lecturer
- School of Engineering
- tuwe.lofstrom@ju.se
- +46 36-10 1108
- Doctoral Student
- School of Engineering
- aicha.maalej@ju.se
- +46 36-10 1045
- Assistant Professor
- School of Engineering
- rudy.matela@ju.se
- +46 36-10 1741
- Assistant Professor
- School of Engineering
- johannes.oetsch@ju.se
- +46 36-10 1731
- Lecturer
- School of Engineering
- einav.peretz.andersson@ju.se
- +46 36-10 1713
- Doctoral Student
- School of Engineering
- max.pettersson@ju.se
- +46 36-10 1909
- Lecturer
- School of Engineering
- cecilia.sonstrod@ju.se
- Assistant Professor
- School of Engineering
- he.tan@ju.se
- +46 36-10 1911
- Associate Professor
- School of Engineering
- vladimir.tarasov@ju.se
- +46 36-10 1591
- Assistant Professor
- School of Engineering
- masoumeh.taromirad@ju.se
- +46 36-10 1832
- Assistant Professor
- School of Engineering
- alexandros.tzanetos@ju.se
- +46 36-10 1268
- Assistant Professor
- School of Engineering
- florian.westphal@ju.se
- +46 36-10 1648
Projects
Ongoing Research Projects
We work in close proxmity to businesses, creating both novel scientific results and solutions to our partners' important practical challenges. These collaborations are typically framed within 2-4 year research projects, including:
- AFAIR
- AI Readiness
- SMARTER
Completed Research Projects
- Building Knowledge – Projektet syftade till att utveckla teknik för att beskriva och arbeta med kunskapsgrafer i smarta byggnader, t.ex. för att beskriva byggnadens struktur, sensorer, parter som verkar i byggnaden, etc., Dessa grafer kan sedan användas för analys, styrning, datautbyte, etc. Projektpartners: Vasakronan, Akademiska Hus, Willhem, Idun Real Estate Solutions. Budget: 4 MSEK
- DATAKIND
- EXplAIn
- MAPPE