Research Topics & Intersections
I work at the intersection of visual computing and a wide range of scientific and societal challenges. Below are the core pillars of my research, but I also welcome inquiries about other topics and domains where advanced visual methods can provide meaningful insights into complex problems.
High Performance GPU Programming
Leverage the massive computational power of GPUs to boost performance. While foundational for real-time rendering, my GPU-based methods extend into diverse domains such as physical simulations, signal processing, and large-scale optimization.
Human-Centric Extended Reality (XR)
Integrate human vision and behavior theory into the design of XR systems. By focusing on the user, I create high-impact applications for specialized domains including medical training, immersive education, and complex data navigation.
Appearance Acquisition & Modelling
Develop low-cost, innovative hardware, such as 3D-printed gonioreflectometers and digital microscopy, to capture the intricate reflectance of real-world surfaces. My research focuses on the mathematical modeling and predictive rendering of materials to achieve digital realism.
Scientific & Data Visualization
Turn multi-dimensional data into intuitive visual information. Whether dealing with high-performance sports analytics or complex volumetric data in physics and engineering, the goal is to allow researchers and practitioners to extract meaningful insights from their data.
Digital Cultural Heritage
Apply state-of-the-art visual computing to the analysis and preservation of cultural heritage. I focus on the high-fidelity digitization and analysis of artifacts, serving both historical research and digital conservation.
