I am Junjie Wu, currently an electrical engineering student at the University of New South Wales (UNSW) with a passion for building things and making things work. My academic and project work spans a variety of areas, from hardware electrical design, like working on electric vehicles, to audio systems, and blending software with hardware in low-level embedded systems, all the way to developing software projects, including this front-end website you're reading right now. I'd love to collaorate on new exciting ideas so feel free to reach out for a chat!
A guitar power amplifier for loudspeakers that delivers clear, high-quality audio with optimal efficiency. It takes weak stereo signals from audio jacks or microphones, amplifies them, and preserves signal integrity while minimizing total harmonic distortion (THD). The design features a multi-stage cascaded approach with separate stages for signal gain and power output, offering precise control over both audio clarity and efficiency.
I worked on an electric vehicle that set a Guinness World Record and won the 2023 Bridgestone World Solar Challenge. As the project lead for the Energy Systems Department, I was in charge of the MPPT (Maximum Power Point Tracking) project.
I built a 5-band audio equaliser using C++ STL (no external libraries). The equaliser reads in an audio file and allows users to apply various gains to 5 frequency bands (sub-bass, bass, midrange, upper midrange, treble). It can also process stereo audio, apply dynamic range compression, and save the result into an audio file.
You are looking at this right now!
This is a static website built with vanilla JavaScript, HTML, and CSS. It's my first frontend project, made to showcase all my other projects in one place and serve as my personal website. I plan to improve it in the future by adding a backend server, exploring other frameworks and APIs, and integrating a database.
This project is designed for users who may struggle to stay aware of their surroundings or frequently operate in noisy environments. It leverages advanced real-time processing to detect key sounds and deliver alerts through haptic and visual feedback, helping users stay aware in such environments.