This page summarizes my research-driven project work, including industrial R&D activities at Nokia Technologies and selected personal research interests.
Volumetric Capture, Rendering, and Streaming Systems
Research and development of real-time volumetric media systems, covering multi-camera
capture, geometric reconstruction, compression, and low-latency streaming pipelines
for immersive XR applications.
Multi-Camera & RGB-D Calibration
Design of accurate and scalable calibration methods for perspective, fisheye,
RGB-D, and non-central camera systems, including color consistency, geometric
alignment, and industrial-grade measurement accuracy.
Neural & Classical 3D Representations
Research on hybrid classical and learning-based representations for 3D and volumetric
content, including mesh animation, point clouds, Gaussian splatting, and neural
rendering techniques optimized for real-time deployment.
XR Systems & Immersive Media Standards
Technical contributions to international standardization activities (e.g. MPEG,
3GPP), focusing on volumetric media formats, XR scene descriptions, streaming
architectures, and interoperability.
Industrial Prototyping & Research Transfer
Development of deployable research prototypes bridging academic methods and
production-oriented systems, with emphasis on robustness, scalability, and
real-world constraints.
Personal Projects
Most of the projects listed below reflect personal research interests and exploratory work
conducted outside of my core Nokia responsibilities.
Wardrobe Challenge Solver
Automatic Sports Arbitrage
Other Research Interests
Generative AI for 3D & Volumetric Representations