Computer Science Undergraduate · Low-Altitude Intelligent Systems · Mathematical Modeling · Java Engineering
I am a Computer Science undergraduate interested in low-altitude intelligent systems, UAV scheduling, mathematical modeling, and reliable engineering platforms.
My current focus is to connect scenario modeling, algorithmic decision-making, and software engineering. I enjoy transforming real-world problems into computable models, building backend systems around them, and visualizing decision processes through full-stack platforms.
- Research interests: low-altitude swarm decision-making, UAV route planning, multi-agent coordination, conflict detection, and risk-aware scheduling.
- Engineering interests: Java backend systems, Spring Boot / Spring Cloud, Redis, RabbitMQ, Elasticsearch, and Vue-based dashboards.
- Modeling background: probability modeling, hypothesis testing, optimization, sensitivity analysis, and decision-support modeling.
- Long-term goal: build explainable, reliable, and scenario-driven intelligent systems for complex low-altitude environments.
I am particularly interested in low-altitude intelligent agents operating in disaster response, emergency inspection, communication recovery, and search-and-rescue scenarios.
Key topics I hope to explore:
- Multi-agent task allocation under dynamic environments
- UAV route planning, obstacle avoidance, and risk-aware replanning
- Distributed role assignment and self-organized swarm coordination
- Low-altitude airspace resource modeling and conflict resolution
- Decision-making under communication-limited or partially observable conditions
- Trustworthy low-altitude information systems and decision-support platforms
|
A low-altitude airspace resource scheduling and conflict-resolution platform for UAV route reservation, approval workflow, occupancy management, audit logging, and visualized airspace governance. The system models airspace resources as Grid + Level + TimeSlot + Date, supporting route reservation, conflict detection, occupancy release, and low-altitude cockpit visualization.
Keywords:
|
A UAV route-planning and risk-evaluation simulation system for urban low-altitude environments, supporting Dijkstra, A*, Theta*, risk scoring, energy estimation, and TimeSlot occupancy conversion. It connects path planning results with the SkyGrid resource scheduling model, forming a route-planning → risk-evaluation → occupancy-conversion → conflict-checking workflow.
Keywords:
|
|
A probability-model-based production decision optimization project from the China Undergraduate Mathematical Contest in Modeling, awarded Tianjin First Prize. The project focused on sampling inspection, batch acceptance, quality-control decisions, hypothesis testing, expected loss, and sensitivity analysis.
Keywords:
|
An AI-enhanced reading-resource discovery system focused on hybrid retrieval, evidence-grounded RAG question answering, explainable recommendation, behavior analytics, and offline evaluation. It combines exact matching, BM25 retrieval, dense vector retrieval, reranking, evidence cards, and measurable evaluation reports.
Keywords:
|
| Area | Languages / Tools | Representative Usage |
|---|---|---|
| Low-Altitude Intelligent Systems | Java · Python · TypeScript · SQL | UAV scheduling, route planning, risk evaluation, conflict detection, airspace resource modeling, and visualization. |
| Backend Engineering | Java · SQL · Shell | Spring Boot, Spring Cloud, RESTful APIs, permission systems, Redis caching, RabbitMQ messaging, and service governance. |
| Algorithm & Simulation | Python · C · MATLAB | Dijkstra, A*, Theta*, probability modeling, hypothesis testing, sensitivity analysis, and decision optimization. |
| AI Search & RAG Systems | Java · Rust · Vue | Hybrid retrieval, BM25, vector search, reranking, RAG QA, evaluation CLI, and reproducible report generation. |
| Frontend Visualization | Vue · TypeScript · JavaScript · ECharts | Low-altitude cockpit, route visualization, approval dashboards, conflict records, and data analysis panels. |
| Modeling & Research Support | Python · MATLAB · R | Mathematical modeling, parameter calculation, statistical decision-making, expected loss, and risk evaluation. |
Raw GitHub Language Statistics
|
I am interested in transforming real-world constraints into computable optimization models, especially for resource allocation, route planning, and task scheduling.
|
I use probability models, hypothesis testing, expected loss, and sensitivity analysis to evaluate decisions under uncertainty.
|
|
I focus on UAV scheduling, low-altitude route planning, airspace resource modeling, conflict detection, and risk-aware decision support.
|
I enjoy turning models and algorithms into reliable backend services, APIs, dashboards, and reproducible evaluation workflows.
|
Tip: If the language statistics still show old data, change the
v=20260614-8suffix in the image URLs, for example tov=20260614-9. This forces GitHub to treat the image as a new resource.
More GitHub Summary
|
Extract variables, constraints, risks, and objectives from real-world scenarios.
|
Turn models into computable algorithms, evaluation metrics, and reproducible experiments.
|
Build reliable backend services, dashboards, and engineering platforms around algorithms.
|
