Semester 1, 2025 · Course Profile & ECP
Coordinator: Dr Yadan Luo (https://luoyadan.github.io/) · Co-Lecturer: Dr Zixin Wang
Tutors: Ivan Chen, Danny Wang, Yan Jiang, Selena Song

Welcome to the official organization space for INFS4205/7205: Advanced Techniques in High-Dimensional Data at The University of Queensland! This is where data meets innovation, creativity, and real-world impact.

Our course empowers students to push the boundaries of high-dimensional data analytics, blending advanced query design, efficient indexing, and interactive data visualization into innovative solutions.

Students explore two exciting streams:

Students design, implement, and analyze advanced spatial and spatio-temporal queries using real-world data (e.g., trajectory analysis, skyline queries, similarity search). They rigorously compare indexing techniques such as R-trees, k-d trees, and quadtrees using PostgreSQL and beyond.

Sample highlight queries:

• Find the top K nearest restaurants with multi-index comparisons
• Analyze trajectories for optimal routing under spatial-temporal constraints
• Identify skyline points to support urban planning or venue selection

Students build full-stack web applications to explore high-dimensional datasets through intuitive, dynamic interfaces. These apps integrate modern frontend frameworks (e.g., React) with powerful backend logic (Node.js, Python, PostgreSQL). AI-assisted IDE, e.g., Cursor, is encouraged to be used.

🌟 Sample Project: McDonalds-Store-Locator - Zixin Wang

Example features:

• Customizable spatial search tools (e.g., "Find all cafes within 500m open after 6pm")
• AI-enhanced natural language database queries
• Real-time geospatial visualizations and dashboards

We are proud to recognize these students for their exceptional projects demonstrating technical excellence and creativity:

• Xiaoyu Zhuang: Type I: Taxi Trajectory Analysis Project
• Jingxi Zhang
• Liyue Zeng
• Chi-Hsuan Wu: Type II: Explore Tokyo 🌸⛩️
• Weiting Wang
• Chi Wang: Type II: Taxi Trajectory Analysis
• Xincong Ren
• Kyle Mackie
• Nathan Leeks
• Nu Uyen Phuong Le
• Matthew Gent
• Rachit Chaurasia

👉 Don’t forget to ⭐ star student repositories if you find them inspiring or useful!

• Xintong Tan
• Jack Cashman

Whether you’re a student looking for inspiration or a future collaborator interested in advanced data systems, we invite you to explore, learn, and contribute.

💬 Questions or ideas? Open an issue or start a discussion!
📁 Want to share your demo? Submit to INFS4205-7205-2025 Repositories.
⭐ Interested in contributing or mentoring? Get in touch: y.luo@uq.edu.au

• The showcased student projects are shared for reference and inspiration purposes only.
• All content is strictly non-commercial and must not be reproduced, redistributed, or adapted for any commercial use.
• The content must not be fully or partially reused in academic assignments, assessments, or submissions.
• Any violation of these guidelines may constitute academic misconduct and breach of the University’s Student Code of Conduct.