Georg Hess
PhD Candidate
Gothenburg, Sweden
Summary
👤
Senior🎓
Top SchoolGeorg Hess is an industrial PhD candidate and deep learning engineer with nine years of experience applying perception, self-supervised learning, and scene reconstruction to real-world autonomous vehicle problems. His doctoral work at Chalmers in collaboration with Zenseact focused on simulation-driven perception and scalable scene reconstruction, bridging academic rigor with production constraints. Prior roles at Aptiv and FEV honed his systems-level engineering skills in ADAS, sensor fusion, localization and safety-critical testing, with hands-on C++ and ROS development. He combines a mechanical engineering foundation and business training to communicate technical trade-offs across teams and drive actionable validation plans. Known for turning complex sensor data into practical tools and simulations, he brings a rare blend of lab-grade research and field-proven engineering for vehicle autonomy. Based in Gothenburg, he is comfortable moving between algorithm development, test engineering and product-focused deployment.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science with a major in Business Administration, Management, Bachelor of Science with a major in Business Administration, Management at Handelshögskolan vid Göteborgs universitetMaster of Science - MS, Systems, Control and Mechatronics, Master of Science - MS, Systems, Control and Mechatronics at Chalmers tekniska högskolaGymnasieexamen, Naturvetenskap, Gymnasieexamen, Naturvetenskap at Bäckängsgymnasiet
Swedish, German, English
Github Skills (50)
pytorch10
3d-graphics10
machine-learning10
photogrammetry10
neural-rendering10
deep-learning10
3d10
computer-vision10
collaboration10
3d-reconstruction10
solver9
nonlinear9
nonlinear-model-predictive-control9
3d-object-detection9
predictive9
Programming languages (5)
Github contributions (5)
georghess/neurad-studio
Nov 2023 - Mar 2025
[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
Contributions:3 reviews, 2 PRs, 16 pushes in 1 year 3 months
wljungbergh/mpc-trajectory-generator
Oct 2020 - Mar 2021
A trajectory generator utilizing the A-star algorithm in conjunction with a Nonlinear Model Predictive Control solver to obtain a smooth trajectory that satisfies vehicle constraints.
Contributions:118 commits, 8 PRs, 100 pushes in 4 months
mpcnonlineara-star-algorithmmodel-predictive-controlmachine-learning
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