Projects

• Designed and implemented a blockchain-based e-voting system utilizing blind signatures and the relayer structure, achieving untraceable anonymity, verifiability, together with strong security, privacy, etc.

• Achieved at least 40% greater efficiency in terms of gas costs comparing to existing systems with similar security measures.

• Implemented a tamper-proof protocol for generating truly uniform random numbers on Ethereum by leveraging RSA, Goldwasser-Micali cryptosystem, and a secret sharing scheme.

• The generated numbers are tamper-proof and remain secret until they are finalized.

• Visualized COVID-19 data—including infection, death, and vaccination rates—in U.S. prisons using various graphs. The system summarizes data by geography, state political affiliation, facility type, and prison personnel.

• Awarded the HKUST Best FYP Award and the Huawei FYP award for the year 22/23.

• Collaborated with FYP team members to design and implement a Vacancy Detection System for a smart car park, achieving 91% accuracy with no false detections in real-world testing.

• The system utilizes transfer learning, CNN, and YOLOv5, and achieves a wider detection angle than industry standards by incorporating a fisheye camera and an undistortion algorithm.

• Developed a price predictor for Apple Inc. (AAPL) by training a multilayer perceptron on historical stock data. The system dynamically forecasts the next-hour stock trend, displayed on an interactive webpage built using AWS for seamless user engagement.