My Portfolio
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Welcome to my portfolio! Below are selected research, competitions and course projects I’ve completed. If you are interested, please click on the link for details.
Research Experiences
Data Analytics and Learning for Cardiovascular Disease Detection based on ECG Signals
Developed one-class autoencoder models to detect ECG abnormalities via reconstruction errors, using PhysioNet dataset.
Competitions
National Undergraduate Electronic Design Contest
Designed a laser motion control and auto-tracking system, earning a provincial second prize.
[Report PDF (Chinese version)]
National Undergraduate Embedded Chip and System Design Competition
Designed a collaborative quadcopter control system using STM32F4 and NRFx chips, achieving stable motion synchronization.
Mathematical Contest In Modeling
Applied ARIMA, BP neural networks, and K-means clustering to analyze and predict trends in game design.
[Report PDF]
SUSTech Electronic Design Competition
Built an embedded system for a smart medicine delivery vehicle, focusing on vision modules and trajectory control.
Course Projects
Reinforcement Learning for Inverted Pendulum Control
Implemented Q-Learning, DQN, and other RL algorithms for pendulum control using PyTorch.
[Report PDF] | [GitHub (Chinese README)]
eMeritBox
Developed a gravity-sensing electronic donation box integrated with Flask and Raspberry Pi.
[GitHub (Chinese README)]
Statistical Learning for Data Science
Applied statistical and machine learningfor public health and medical image analysis, including tuberculosis modeling and hybrid deep learning for fundus classification.
[Proj2 Report PDF]
ROS Robot Intelligent Navigation and Control System
Programmed a robot for SLAM-based mapping, object recognition, and A* path planning navigation.
[Presentation PDF (Chinese version)]
Comparative Analysis of Clustering and Dimensionality Reduction Techniques
Explored optimization methods for K-means and dimensionality reduction techniques such as PCA and AE.
[Report PDF]
Classification Using Logistic Regression and MLP
Built binary classification models using Numpy-based logistic regression and MLP neural networks.
[Report PDF]
Lever-based Non-strain Mass Measurement Sensing System
Designed a hardware system without strain gauges using lever principles and screw mechanisms.
[Report PDF]
ZeptoWatch
Developed a smartwatch using STM32Fx, including hardware design and Python-based firmware libraries.
[Report PDF (Chinese version)]
Motion Detection via Communication Signals
Developed a passive radar system for motion detection using Doppler shift analysis and field data optimization.
[Report PDF]
Speech Synthesis and Perception with Envelope Cue
Implemented MATLAB-based signal processing and pitch encoding inspired by cochlear biology.
[Report PDF]
The Chess
Developed a chess game using Java, designing and optimizing both frontend and backend systems.
Nicheng Bot
Developed a chatbot using the Mirai framework and Java, featuring interactive games and suggestions.
My Portfolio