Organisationsprofil
Organisationsprofil
The ITU brAIn lab is a space and a group of people with a common interest in research and education at the crossroad between machine learning, psychophysiology, neuroscience and cognition. Within the lab, researchers and students collaborate to develop computational models of different aspects of the human mind and design experiments to capture and synthesise the user experience in complex digital media like video games and virtual reality. How to measure difficulty in games? how to quantify learning? How can we model and predict human emotions? These are among the many questions that we try to answer in the lab through our experiments and models.
An ITU Lab is an organizational unit tasked with specific, ongoing contributions to several of the
following areas: research, teaching, outreach, innovation, or organization. The purpose of an ITU Lab is
to provide a unique and beneficial contribution to ITU, its mission, staff, and/or students by bridging
the gap between different areas of ITU’s activities and making them visible inside and outside of ITU.
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Samarbejde og topforskningsområder i de sidste fem år
Profiler
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Stefan Heinrich
- Data Science - Lektor
- NLPnorth - Forskningsgruppeleder
- Machine Learning
- brAIn lab - Lab ansvarlig
- Kandidat i Data Science - Uddannelsesleder
Person: VIP
Publikation
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Confusion and games: An investigation on the Player Learning Experience
Volden, T. V. S., 2026, 138 s.Publikation: Afhandlinger › Ph.d.-afhandling
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Modelling the Interplay of Eye-Tracking Temporal Dynamics and Personality for Emotion Detection in Face-to-Face Settings
Seikavandi, M. J., Fimland, J., Batista Narcizo, F., Barrett, M. J., Vucurevich, T., Bünsow Boldt, J., Burke Dittberner, A. & Burelli, P., 2026, BMVC 2025 MPI Workshop. British Machine Vision AssociationPublikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review
Åben adgang -
Turning the AI Microscope on the Brain
Dixen, L., 2026, IT-Universitetet. 333 s.Publikation: Afhandlinger › Ph.d.-afhandling
Fil
Forskningsdatasæt
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AFFEC Multimodal Dataset
Jamshidi Seikavandi, M. (Ophavsmand), Dixen, L. (Ophavsmand) & Burelli, P. (Ophavsmand), ZENODO, 3 feb. 2025
DOI: 10.5281/zenodo.14794876, https://zenodo.org/records/14794876
Datasæt
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EEG Study of the Uncanny Valley Phenomenon
Hristova, M. (Ophavsmand), Dixen, L. (Ophavsmand), Burelli, P. (Ophavsmand) & Højrup Vinther, E. (Bidrager), ZENODO, 13 feb. 2025
DOI: 10.5281/zenodo.14864689, https://zenodo.org/records/14864689
Datasæt
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Atari Games Challenge Pilot Dataset
Jarma Montoya, O. (Ophavsmand), Manca, E. (Ophavsmand), Volden, T. V. S. (Ophavsmand) & Burelli, P. (Ophavsmand), IT University of Copenhagen, 24 nov. 2025
Datasæt
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ALGO: Autonomous Live Game Operations
Kristensen, J. T. (PI) & Burelli, P. (PI)
01/04/2019 → 30/07/2022
Projekter: Projekt › Forskning
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CREATE : Ensuring Quality Education with a Creative AI & Machine Learning-based learning game
Burelli, P. (PI) & Martinez, A. V. (CoI)
01/01/2023 → 30/06/2025
Projekter: Projekt › Forskning
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AffectAI: Dynamic Affective Profile Modeling and Profile-Based Multimodal Emotion Recognition and MMLLM Integration for Hybrid Meetings
Burelli, P. (PI)
01/01/2026 → 31/12/2028
Projekter: Projekt › Forskning