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Muhammad Shoaib

@muhammadshoaib25

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I develop deep reinforcement learning methods for autonomous UAV navigation.

China

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What I'm looking for

I'm looking to advance research in machine learning, deep reinforcement learning, autonomous systems, safe AI, robotics, intelligent control, and learning-based decision-making.

I'm developing deep reinforcement learning methods for autonomous UAV navigation at Northwestern Polytechnical University, using SAC, TD3, PyTorch, and Python in continuous 3D simulation environments.

I built a planner-conditioned SAC framework that reached 91.58 ± 1.43% success on held-out scenarios—an 11.76 percentage-point improvement over baseline—and reduced average navigation steps by approximately 23.2%. My work combines controlled experiments, multi-seed evaluation, statistical analysis, reproducible pipelines, and safety-aware UAV constraints.

Experience

Work history, roles, and key accomplishments

Current

Graduate Researcher

Current

Northwestern Polytechnical University

Jan 2024 - Present (2 years 8 months)

Developing deep reinforcement learning methods for autonomous UAV navigation using SAC, TD3, PyTorch, and Python in continuous 3D simulation environments. Conducting controlled ML experiments and statistical evaluation of results.

Education

Degrees, certifications, and relevant coursework

Northwestern Polytechnical University

Master of Science, Aircraft Design

2024 -

Activities and societies: CSC Government Scholarship

Pursuing an M.S. in Aircraft Design with a research focus on machine learning, deep reinforcement learning, autonomous UAV navigation, intelligent control, and motion planning. Expected to graduate in March 2027.

PMAS Arid Agriculture University Rawalpindi

Bachelor of Science, Computer Science

2019 - 2023

Completed a B.S. in Computer Science. Final year project involved developing a decentralized NFT marketplace web application as part of a team-based software engineering project.