This page contains notable projects:
- Unify Mobile Application (React Native)
- Java²
- Baron's Executive Recruiting AI Consultation Project
- Image-based Structural Analysis (Computer Vision)
- Centralized Traffic (Python)
This is a mobile video game I am building independently as a passion project. Through it, I have learned how to apply
Design Patterns
Patterns used:
- Factory Pattern
- Strategy Pattern
- Observer Pattern
- Composite
Concepts:
- Delegates
- Frameworks
- Lazy Instantiation
- Virtuals, Interfaces
Fun Stuff:
- Shaders~~
This project is developed on Godot 3 Mono C#.
Lautriv-Max is a Social Virtual Reality start-up
I initiated as CTO with 2 other colleages.
In it, I developed:
- VR Spin The Wheel
- Automated data logging
- Mentored tech team
This project includes work on:
- Front-end websites
- Microservices
- Database management
- VR game development
This project uses Apache2, php, SQL, CAS, Unity, python, AWS EC2, AWS Dynamo DB.
This is a project that I manage with 3 other friends.
Currently, my university, HKUST, lacks a platform for student-organized events to be advertised to. Thus, we develop a mobile platform for students to find exciting activities to join and to invite others as well!
This project includes work on:
- Recommender Systems
- Database management
- UI Development
This project is developed on React Native.
This is a project to create a smart software system that can filter images based on users' needs. As a photographer, I believe browsing photos should be an enjoyable experience, thus I hope to use intuitive measures to acquire the best photos from a directory.
This project focuses on filtering image by: blur, color, presence of faces, bodies, smiles, etc.
This is a future business plan to launch a series of fruit shakes and healthy milkshakes in Canada. A special long-term game concept related to Tree Planet will be implemented regarding the market penetration plan.
The project implements Computer Vision to recognize characters on designed cups, which then produces an augmented reality message and animation.
This project was done in a course as a competition to give the best consultative advice to Barons & Company for implementation of AI & other technology into their business processes. Judges were from Barons & Company, HKUST, IBM, and Harman.
Through this project, I demonstrated my diligence and perseverance and was voted MVP of my team. We won 1-st runner-up and was named "most innovative".
This project aims to develop a Computer Vision application using Convolutional Neural Networks to extract information from a hand-drawn Civil Engineering problem and solve for the structure's response.
The following are a few results using Keras and Tensorflow
(Currently Private)
This project aims to simulate a centralized traffic intersection system which will command cars to decelerate as necessary to avoid collisions such as in Autonomous Intersection Management (AIM).
No Deceleration
With Deceleration Updates
As a Civil Engineering project, I worked with a team to investigate the factors affecting water supply shortage in California and proposed solutions.
Through our efforts in research and presentation, we were awarded with the Best Poster Design & Presentation Award.
The TI-Network is a project I co-founded and led with some inspired individuals.
Our aim is to provide a platform for HKUST students (especially freshmen) to acquire new skills, and at the same time build their confidence
by encouraging them to share their own talents and interests. Our team was awarded the President's 1-HKUST Student Life Award.
This is a project to build an Arduino quadcopter, following tutorials by Joop Brokking. Through this project, I was able to explore robotics, programming, and individual research.
The Introducing & Demonstrating Earthquake Engineering Research in Schools (IDEERS) competition was held in HKUST.
Through perseverance in research and testing our tower models, we were able to emerge as the Champion of the competition.
I really enjoy programming in C++, Excel VBA, and Python.
I persevere to make the programs universal, user-friendly, and helpful!
Here are some of my works.
(Under construction)
Gradient-Based Learning Applied to Document Recognition
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Rich feature hierarchies for accurate object detection and semantic segmentation
Systematic evaluation of CNN advances on the ImageNet
Speed/accuracy trade-offs for modern convolutional object detectors
Free Hand-DrawnSketchSegmentation
To be edited. Link
Machine Learning | Coursera
Stanford University, Andrew Ng
Parallel Programming | Coursera
École Polytechnique Fédérale de Lausanne
I'm a paragraph. Click here to add your own text and edit me. Link
Course Name | Location
Institution, Instructor
To be edited. Link
