Julius Häger

KTH Royal Institute of Technology

Research Engineer

Role In Infravis

Application Expert

  • juliusha@kth.se

Experienced In

Real-time graphics, High performance compute, C/C++, C#, OpenGL, GLSL, HLSL, Game development, Python, Spectral rendering

Tools Used Frequently

Visual Studio, Unity, Blender

About

Application expert at Visualization studio VIC at KTH since 2025. I’m deeply interested in light transport algorithms, material models, and real-time graphics. My primary experience is real-time applications such as games and interactive visualizations.

Master’s Thesis in Computer Science, Visualisation and Computer Graphics: Using Quantum Dots to Model Fluorescence in Spectral and Tristimulus Rendering

Project for InfraVis

  • 3D Modeling for simulated ventricular surgery

    Brain surgery requires extreme precision, which makes realistic training essential. This project was created to improve practice conditions for a procedure where a catheter is inserted into the brain’s ventricles to relieve fluid buildup. The training setup uses a 3D‑printed skull and a Jello‑based artificial brain that mimics real tissue. InfraVis contributed by redesigning and…

    3D Modeling for simulated ventricular surgery
  • GIS Benchmark Tool for Environmental Impact of Quarries and Mining Industry

    QuarryGIS is an interactive environmental visualization and benchmarking tool built to make quarry and construction sector impacts tangible for producers, clients, and planners.

    GIS Benchmark Tool for Environmental Impact of Quarries and Mining Industry
  • Interactive visualization of crowd sourced urban data from Tyck Till

    This project focused on crowd sourced urban data collected from Tyck Till an app developed by Stockholms Stad where users can leave feedback and report errors in the city. The data contains approximately 800 000 georeferenced reports in various categories. The goal of this project was to facilitate interactive exploration of this data through filtering and…

    Interactive visualization of crowd sourced urban data from Tyck Till