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Jinming Shi

Engineer ยท PhD in Communications Engineering

I work on satellite communication & networks and build AI-driven solutions for them โ€” applying large language models, reinforcement learning and system-level simulation to link engineering, resource scheduling, network topology and traffic offloading.

Who I am

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System-level thinking

From link budgets to network-wide resource scheduling โ€” I work across the full stack of satellite communication systems, turning complex constraints into buildable designs.

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AI-empowered engineering

I bring LLMs and reinforcement learning into the engineering loop: accelerating link simulation, automating resource scheduling and optimizing topology design.

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Research-driven

A PhD background in communications engineering keeps me grounded in first principles while exploring AI-native approaches to satellite networking.

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Hands-on builder

Python, PyTorch, MATLAB and STK are my daily tools โ€” from simulation models to prototype agents that actually run.

Research Interests

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AI & LLMs

Large language models, agentic workflows and AI-assisted engineering for aerospace systems.

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Reinforcement Learning

RL for resource scheduling, dynamic decision-making and autonomous network operation.

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Satellite Communication & Networks

Satellite communication & networks, link engineering and interference analysis for next-generation constellations.

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Network Resource Scheduling

Optimized allocation of spectrum, power and connectivity across satellite networks.

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Topology Design

Constellation and network topology design balancing coverage, latency and cost.

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Compute & Traffic Offloading

Edge computing offloading and traffic steering between space and ground segments.

Link simulation Resource scheduling Topology design Compute offloading Traffic offloading Interference detection

Toolbox

Core languages & platforms

Python PyTorch MATLAB STK Linux VSCode

AI & LLM ecosystem

GLM DeepSeek MiniMax Qwen WorkBuddy Cline Agent workflows

Background

PRESENT

Engineer

Working on satellite communication & networks โ€” bridging system requirements, hardware constraints and network-level performance.

2019 โ€” PRESENT

AI for Satellite Networks

Applying LLMs and reinforcement learning to link simulation, resource scheduling, topology design, compute/traffic offloading and interference detection.

EARLIER

PhD in Communications Engineering

Research background in communication theory and signal processing, with a focus on practical, system-level engineering.

Get in touch

Interested in satellite communications, AI for aerospace, or building things at the intersection of both? Let's connect.

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