Carlos Agulló
Associate Professor
Le Creusot, Bourgogne – Franche-Comté, France
Summary
👤
Senior🎓
Top SchoolCarlos Agulló is an associate professor and postdoctoral-trained computer vision researcher with 11 years of experience bridging academia and industry in robotics, 3D vision and GPU-accelerated graphics. He holds a PhD (cum laude) in Mechatronics, Robotics and Automation and has taught and led research across French and Spanish universities while contributing engineering work to high-profile open-source projects like NVIDIA's GVDB sparse voxel library. Comfortable moving from CUDA and backend voxel topology fixes to lecturing and R&D roles, he combines deep technical fluency with practical lab and IT support experience. Based in Bourgogne, he brings a track record of translating advanced 3D vision research into robust code and integrations with tooling such as OptiX and CUDPP—an unusual mix of low-level GPU debugging and classroom mentorship.
11 years of coding experience
4 years of employment as a software developer
Sommerkurs, Sprechen Deutsch, Sommerkurs, Sprechen Deutsch at Universität Bremen / University of BremenDoctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering. Computer Vision, Cum laude, Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering. Computer Vision, Cum laude at UA - Universidad de Alicante / Universitat d'AlacantMaster's degree, Mechatronics, Robotics, and Automation Engineering, Master's degree, Mechatronics, Robotics, and Automation Engineering at Universitat d'Alacant / Universidad de Alicante
Spanish, Catalan, English, French
Github Skills (6)
cuda10
c-language10
cprogramming-language10
optix9
cmake9
opengl7
Programming languages (4)
Github contributions (5)
NVIDIA/gvdb-voxels
Nov 2018 - Nov 2018
Sparse volume compute and rendering on NVIDIA GPUs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 3 PRs, 6 comments in 20 days
Contributions summary:Carlos primarily contributed to the GVDB (GPU-based sparse voxel data structure) library, focusing on improving its functionality and fixing existing issues. Their work included fixing bugs in core voxelization functions, improving topology creation, and addressing CUDA-related errors. They also made changes to integrate with other libraries such as CUDPP and OptiX, demonstrating an understanding of the project's dependencies.
cudanvidiagpusparsevolume
drmateo/pcl
Feb 2015 - Jun 2019
Contributions:81 pushes, 4 branches in 4 years 5 months
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