Nathan Lam

Bachelor Of Science In Computing & Minor In Japanese
- The Hong Kong Polytechnic University

2019 - 2024

Finished my study as a full-time student at the University. Proficient in various skills through lectures, assignments, and projects.

• Software Development
• Self-learning
• Algorithms
• Machine Learning
• Cloud Computing
• Linux Environment
• Mathematics
• Communication

Special Visiting Student Program
- National Taiwan University

2019 Fall semester

Visited the National Taiwan University for a month. Broaden my horizon with different styles of teaching among universities and technology development in other places.

• Cultural Difference
• Technological Difference
• Learning style

Undergraduate Summer Research Abroad Sponsorship
- Massachusetts Institute of Technology

2021 Summer

Participated in the Research Aboard Scheme lasted for 3 months. Designed group research project and met with the experts.

• Research Experience
• Project Management
• Communication

MIT App Inventor development team support

Aug 2021 - Dec 2021

Perform testing on Micro:bit extension using practical projects. Assit in developing an updated version of Micro:bit extension.

• Extension Development
• Extension Testing

Project Assistant - MIT Hong Kong Innovation Node

Jun 2021 - Aug 2021

Develop an IoT solution for Smart City, Smart Traffic Light. Develop an educational IoT project and provide training material for secondary school students.

• Internet of Things
• Formal Documentation
• Education

Artificial Intelligence Music Composition

This project aims to lower the cost of music production used as background audio in industrial scenarios. Also to explore the application of the Artificial Intelligence Generated Content (AIGC).

I handled all the way from the data sourcing from open-source music databases, data preparation, i.e. organizing the notes and chords as input data, to the machine learning model and layer selection. The final model successfully generated music with different moods and lengths suitable as background music.

Example of the AI-generated music with relaxing mood.

Another example of the AI-generated music with intense mood.

After finishing the model, some empirical validations have also been done on the model. Including the public assessment on the melody and musicality of the generated results through surveys, Putting the audio as background music of the game, like:

And the Ablation test on the model, which evaluates the performance of the model after the removal of a particular layer.

Smart Traffic Light

This project tried to explore better traffic light solutions to help with the common jaywalking in Hong Kong. Utilizing possible Internet of Things (IoT) resources to optimize the traffic light algorithms.

I was in charge of the maintenance of the sensors, the final calculation algorithms of the traffic light, the protocol of data transmission, and the distribution of the group work.

At the start, we proposed computer vision with a high-resolution camera for counting vehicles and pedestrians. Later, we found that weight sensors and communication with the smart car through network protocol are more effective solutions, considering the viability in the future. Here is a brief demonstration of the model.

First consideration of the algorithms is the number of predestrains, calculated by weight sensors.

Transcript

When people step on the weight sensor, representing waiting for the light, the pedestrian traffic light will turn green faster.

Second consideration of the algorithms is the number of vehicles, received by the protocol with the smart vehicles.

Transcript

When people cross the road, leaving the sensor below, and there are cars, the pedestrian traffic light will turn red faster.

Here is my interview with MIT News about the project. https://news.mit.edu/2021/app-inventor-appathon-0930
Section: Cities of the future