CV

University of Southern California

Master of Science in Computer Science

• Anaylsis of Algorithms
• 3D Graphics and Rendering
• Information Retrieval and Web Search Engines
• Advanced Mobile Devices and Game Consoles

National Yang Ming Chiao Tung University

Bachelor of Science in Computer Science

• Parallel Programming
• Computer System Administration
• Computer Vision for UAV Autopilot
• Advanced Programming in the UNIX Environment

Advantech

Software Development Intern

• Collaborated with software developers to design products for intelligent manufacturing.
• Updated an existing ResNet model for image classification and published FasterRCNN, whose backbone was MobileNetV3 and RetinaNet, for object detection via PyTorch.

Wi-Fi Rate Control on Ryu and OVS

• Collected Wi-Fi information, including MAC address, IP address, and average signal strength.
• Compiled data into a packet of an OpenFlow protocol and sent it to a controller port.
• Parsed information on Ryu and calculated SNR by assuming signal noise was -90 dBm.
• Configured flow rules on Ryu to drop packets, adjusting a number of forwarded ports close to the SNR ratio.

Ransomware Propagation and Payload

• Acted as an attacker and cracked a victim's SSH password via dictionary attack.
• Created a compression virus with ransomware worm propagation to infect "cat" command.
• Prepared ransomware payload to encrypt picture files in JPG format and triggered a pop-up window displaying a message requesting ransom.

Simple Taiwanese COVID-19 Map Website

• Displayed the cumulative number of confirmed cases in the city based on the mouse location.
• Fetched the Taiwan National Infectious Disease Statistics System data via web scraping.

Simple Responsive Travelling Website

• Displayed differently depending on the window size of the users' device.
• Contained registration and login pages for users to register an account and log in, respectively.

Accelerating K-means Clustering with Parallel Implementation

• Collorated with a team to enhance K-means clustering efficacy via OpenMP, MPI, and hybrid methods.
• Demonstrated improvements in K-means clustering via three methods, with pure MPI implementation reaching optimal performance.

Analysis of EEG using Deep Learning

• Teamed up to analyze accuracy across different periods: before, during, and after index fingers lift.
• Designed an experiment collaboratively via E-Prime to collect EEG signals from left and right index fingers; afterward, filtered out noise and irrelevant frequency bands via EEGLAB in MATLAB.
• Coordinated with team members to train and evaluate signals with EEGNet model, achieving approximately 72% accuracy in predicting finger movements.

When BERT meets Google Comments

• Worked in a team to develop BERT model predicting sentiment and categories of Google Maps comments.
• Participated in web scraping tasks to gather data; divided comments into positive and negative based on star ratings and trained via BERT model.
• Developed a simple UI interface collaboratively via PyQt for comment entry, achieving approximately 90% accuracy in sentiment and category prediction.