XR-net Virtual Laboratory
XR-NET
About XR-NET
Our research interests are built around optimizing and innovating X-Reality environments (Virtual Reality, Augmented Reality, Mixed Reality).
XR-Net comprises of the following entities.
Visual Computing Laboratory (Computing Group, COMP)
Motion Capture and Visualization Laboratory (Applied Information Technology Group, AIT)
Information systems and software engineering Group, ISSE
Software, Data, and Digital Ecosystems Group, SDDE
Current Research Topics
Areas of Research
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| Hardware/Software Frameworks | Motion Capture | Human-Perceptual Comfort | Quality of Experience |
Applications
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| Digital Twins | Medical and NeuroScience | Education/ Learning and Training | Sustainable Mobility and Climate Change |
Research
Past Projects
| Title | Research Application |
|---|---|
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Learning Algorithms in Virtual Reality as Part of a Virtual University (2019) |
Education/ Learning and Training |
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Using Virtual Reality for Artificial Intelligence Education (2020) |
Education/ Learning and Training |
| Visualizing the Principles of RayTracing Algorithms in Virtual Reality (2022) | Education/ Learning and Training |
| Implementing Volume Rendering Optimizations for Real-Time Performance Directly on Microsoft's HoloLens 2 (2022) | Medical and NeuroScience |
| HoloUmoja - Augmented Reality training application for obstetric Doppler ultrasound (2022) | Medical and NeuroScience |
| Utilizing VR for Point Cloud Labeling (2022) | Sustainable Mobility and Climate Change |
| Gløshaugen's Digital Twin (2022) | Digital Twins |
| Education/ Learning and Training |
Current Projects
| Title | Research Application |
|---|---|
| Memory based serious games for treatment of dementia (2024) | Medical and Neuroscience |
| Digital Twin of Mjøsa(2024) | Digital Twins |
| Title | Research Area |
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| Think XR | Education/ Learning and Training |
| Oppdrag Mjøsa | Digital Twins |
| Title | Research Area |
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| Think XR | Education/ Learning and Training |
Available Master Topics Spring 2023
More Information:
https://www.idi.ntnu.no/education/fordypningsprosjekt.php?p2_10=1&f945=1&s=2
| Title | Research Application |
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XRNevro - XR in Neuroscience (with St Olavs, Kavli, Vizlab) |
Medical and Neuroscience |
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XR4QoE - Quality of Experience for XR |
Quality of Experience |
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XR4Med - Augmented reality tools for intra-operative applications (St. Olav, SINTEF) |
Medical and Neuroscience |
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XR4Edu - XR in Education |
Education/ Learning and Training |
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XR4Colab - Remote Learning and Collaboration with Augmented Reality and Hololens 2 |
Education/ Learning and Training |
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XR_eGov - Citizen Engagement with XR and E-governence |
Sustainable Mobility and Climate Change |
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DT - Digital twin related projects |
Digital Twins |
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AI4TEE - Deep learning based automated cardiovascular therapy and diagnostics (GE Vingmed Ultrasound) |
Medical and Neuroscience |
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AI4Pathology - Digital pathology |
Medical and Neuroscience |
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AD - Visual Intelligence and accurate positioning on mobile devices |
Hardware/ Software Frameworks |
FEATURED
PEOPLE
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Jon Yngve Hardeberg Professor
+47-61135215 +4798216899 jon.hardeberg@ntnu.no Department of Computer Science -
Tomas Holt Assistant Professor
tomas.holt@ntnu.no Department of Computer Science -
Frank Lindseth Professor
+4792809372 frankl@ntnu.no Department of Computer Science -
Sobah Abbas Petersen Associate Professor
+4792846595 sap@ntnu.no Department of Computer Science -
Grethe Sandstrak Associate Professor and Excellent teaching practitioner
+47-73559561 grethe.sandstrak@ntnu.no Department of Computer Science -
Xiang Su Associate Professor
+47-73559206 xiang.su@ntnu.no Department of Computer Science -
Xiaomeng Su Associate Professor
+47-73412465 xiaomeng.su@ntnu.no Department of Computer Science -
Theoharis Theoharis Professor
+47-73591447 theotheo@ntnu.no Department of Computer Science