XR-net Virtual Laboratory
XR-NET
XR-net is a virtual lab that brings together all the active Extended Reality research at the Department of Computer Science (IDI).
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 Computer Human Interaction, ISCHI
- Intelligent Systems and Analytics, ISA
- Colourlab, CL
Current Research Topics
Areas of Research
|
|
|
|
|
| Hardware/Software Frameworks | Motion Capture | Human-Perceptual Comfort | Quality of Experience |
Applications
|
|
|
|
|
| Digital Twins | Medical and NeuroScience | Education/ Learning and Training | Sustainable Mobility and Climate Change |
Research
Past Projects
| Title | Research Application |
|---|---|
|
Learning Algorithms in Virtual Reality as Part of a Virtual University (2019) |
Education/ Learning and Training |
|
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 |
|---|---|
| Think XR | Education/ Learning and Training |
| Oppdrag Mjøsa | Digital Twins |
| Title | Research Area |
|---|---|
| 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 |
|---|---|
|
XRNevro - XR in Neuroscience (with St Olavs, Kavli, Vizlab) |
Medical and Neuroscience |
|
XR4QoE - Quality of Experience for XR |
Quality of Experience |
|
XR4Med - Augmented reality tools for intra-operative applications (St. Olav, SINTEF) |
Medical and Neuroscience |
|
XR4Edu - XR in Education |
Education/ Learning and Training |
|
XR4Colab - Remote Learning and Collaboration with Augmented Reality and Hololens 2 |
Education/ Learning and Training |
|
XR_eGov - Citizen Engagement with XR and E-governence |
Sustainable Mobility and Climate Change |
|
DT - Digital twin related projects |
Digital Twins |
|
AI4TEE - Deep learning based automated cardiovascular therapy and diagnostics (GE Vingmed Ultrasound) |
Medical and Neuroscience |
|
AI4Pathology - Digital pathology |
Medical and Neuroscience |
|
AD - Visual Intelligence and accurate positioning on mobile devices |
Hardware/ Software Frameworks |
People
-
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 -
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