Alexey Nekrasov
Research Scientist at Juelich Supercomputing Center (JSC), Forschungszentrum Jülich
Aachen, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolAlexey Nekrasov is a doctoral researcher at RWTH Aachen University with a decade of experience in computer vision, 3D/4D perception, and multimodal AI focused on robustness and safety for autonomous systems. He has driven state-of-the-art advances in video MLLMs and 4D panoptic segmentation, including a key fix that allowed a 1B model to match a 26B baseline and co-authoring Mask4D for LiDAR point clouds. His work spans anomaly detection benchmarks and datasets for real-world driving safety (STU, OoDIS) and uncertainty-aware methods for occupancy and OOD segmentation. Combining academic teaching and industrial machine learning experience from IBM, he bridges practical data engineering with cutting-edge research. Unusually, his research roots trace back to leading an underwater robotics team, which shaped his long-standing interest in embodied perception and robust autonomy.
10 years of coding experience
9 years of employment as a software developer
Master's degree Robotic systems, Master's degree Robotic systems at RWTH Aachen UniversityBachelor's degree Mechatronics, Bachelor's degree Mechatronics at Bauman Moscow State Technical University
Русский, English, German
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (90)
python10
image-processing10
deep-learning10
gpu10
pretrain10
numpy10
ai10
kitti-dataset10
neural-network10
object-detection10
deeplab10
artificial-intelligence10
data-science10
image-segmentation10
image-augmentation10
Programming languages (5)
Github contributions (5)
kumuji/kumuji
Jul 2020 - Nov 2025
Contributions:4 pushes, 1 branch in 5 years 5 months
kumuji/mix3d
Oct 2021 - Apr 2022
Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)
Contributions:11 commits, 2 pushes, 15 comments in 6 months
3ddata-augmentationpoint-cloudaugmentation3dvision
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