Muhammad Arsalan Khawaja
- Colourlab [Norwegian University of Science and Technology (NTNU)]
- Equipe CORES [ImViA - UR 7535] (CORES)
Présentation
Hi! I'm Arsalan, a computer vision researcher trying to teach machines to see the world in ways humans can't. I grew up fascinated by flight and earned my aerospace engineering degree (with a gold medal!). But I became even more captivated by how we can use cameras and algorithms to perceive and help machines understand the world which sometimes somethings are invisible to our eyes, From detecting early bruises in agriculture products before they're visible, to helping doctors see inside the human body in with AI based medical imaging, to assisting cultural heritage professionals digitize and understand historical artifacts using Computer Vision. Now I'm completing my PhD across two countries (Norway and France), working on AI systems that capture and model how light interacts with surfaces. My research and curiosity has taken me from Viking-age textiles in Oslo museums to operating rooms in France, always asking: "How can we make machines see better?" I love projects where computer vision meets real-world messiness: autonomous robots navigating unknown environments, sensors struggling with weird lighting, defects hiding just below the surface. The gap between "works in the lab" and "works on the wild" is where things get interesting. Currently I am based in the beautiful small town of Gjøvik in Norway, where I balance PhD thesis writing with padel playing, cross country sking, and walking along beautiful lake of Mjøsa. Looking forward for new opportunities to collaborate on interesting projects that life will bring to me
Compétences
Publications
Publications
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Beyond relighting: RTI for clustering fragmented heritage textiles using deep learningnpj Heritage Science, 2026, 14 (1), pp.95. ⟨10.1038/s40494-026-02326-9⟩ |
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Can Surface Topography Give Us Best Light Positions for Reflectance Transformation Imaging?Archiving Conference, 2023, 20 (1), pp.12-17. ⟨10.2352/issn.2168-3204.2023.20.1.3⟩ |
Apple bruise detection using hyperspectral imagingSeventeenth International Conference on Digital Image Processing (ICDIP 2025), Apr 2025, Haikou, China. ⟨10.1117/12.3075704⟩ |
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Self-supervised classification of surfaces using reflectance transformation imaging12th Colour and Visual Computing Symposium 2024 (CVCS 2024), Sep 2024, Gjøvik, Norway |
An interactive method for adaptive acquisition in Reflectance Transformation Imaging for cultural heritage2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2023, Paris, France. pp.1690-1698, ⟨10.1109/ICCVW60793.2023.00185⟩ |