Qingwen Zhang
PhD Candidate
Stockholm, Sweden
Summary
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Top SchoolQingwen Zhang is a PhD candidate in Computer Science at KTH with about eight years of technical experience focused on robotics and autonomous systems. Educated with a strong aerospace foundation (BE in Flight Vehicle) and an MPhil from HKUST where they achieved a 3.9/4.0, Qingwen blends rigorous academic training with applied research in perception and autonomy. Based in Stockholm, they are building deep expertise at the intersection of flight vehicles and robotic systems, leveraging both theoretical and practical skills developed across international institutions. Their GitHub bio hints at an active learning mindset and ongoing research-driven development, and their personal website is the canonical source for up-to-date work and projects. Notably, Qingwen’s background suggests an ability to translate high-performance aerospace engineering principles into novel robotic solutions.
7 years of coding experience
KTH Royal Institute of TechnologyBachelor of Engineering - BE, Flight Vehicle, 89.69/100, Bachelor of Engineering - BE, Flight Vehicle, 89.69/100 at Civil Aviation University of ChinaHong Kong University of Science and Technology (HKUST)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
unreal-engine-410
simulator10
3d-object-detection10
computer-graphics10
cpp10
ros10
autonomous-driving10
mesh-processing10
qt10
rendering10
cluster-computing10
autonomous-vehicles10
camera10
ai10
deep-reinforcement-learning10
Programming languages (13)
Github contributions (5)
Kin-Zhang/simple_ndt_slam
Sep 2022 - Jan 2023
simple ndt slam, quick deploy on mobile robot, support mapping and localization (origin from autoware.ai); 简易slam包 快速部署使用
Contributions:1 review, 19 commits, 3 PRs in 4 months
autowarerobotmappingndtlocalization
Kin-Zhang/carla-expert
Jun 2022 - Nov 2022
Contributions:15 commits, 9 pushes, 2 comments in 4 months
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