Qiuchen Qian
Doctoral Student at Imperial College London
London, England, United Kingdom
Summary
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Top SchoolQiuchen Qian is a PhD candidate at Imperial College London’s Systems and Algorithms Laboratory, focused on cyber-physical systems, applied machine learning, and safe mission planning for drone-enabled wireless communications. With eight years of engineering experience and a background spanning a First-class bachelor’s in Electronic and System Engineering and an MSc (Distinction) in Applied Computational Science, Qiuchen bridges rigorous research with practical system development. Prior industry experience at Huawei provided hands-on exposure to embedded Linux, Android debugging, and production code workflows. His work combines theoretical safety-aware planning with IoT and drone applications, and he maintains a public portfolio of projects and research on bruceqqc.github.io.
7 years of coding experience
Doctor of Philosophy - PhD, Design Engineering Research, Doctor of Philosophy - PhD, Design Engineering Research at Imperial College LondonBachelor's degree, Electrical, Electronic and System Engineering, First Honor, Bachelor's degree, Electrical, Electronic and System Engineering, First Honor at University of Birmingham
Stackoverflow
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Github Skills (12)
travelling-salesman-problem5
arxiv3
combinatorial-optimization2
actor-critic2
reinforcement-learning2
deep-learning2
geometric-deep-learning2
graph2
pytorch2
deep-reinforcement-learning1
vehicle-routing-problem1
operations-research1
Programming languages (3)
Github contributions (5)
bluesquinn777/MPI
Feb 2020 - Aug 2021
Contributions:12 commits, 21 pushes, 1 branch in 1 year 6 months
sysal-bruce-publication/offline-path-planning-for-vrp
Sep 2020 - Jun 2021
Contributions:6 commits, 1 branch in 8 months
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