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About Me

Education

B.Sc. Electrical Engineering in NCU
M.Sc. Electrical Engineering in NTU
Exchange student, Linköping University, Sweden

Research Domain

Computer Vision
Model Acceleration
Ultrasound Image Processing

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Skill Set

Programming Language

Python

Experienced

Matlab

Experienced

C

Intermediate

C++

Intermediate

C# (.Net Framework)

Basic

JavaScript

Basic

Tools

Git (Github)

Intermediate

Docker

Basic

CICD (Jenkins)

Basic

Linux

Basic

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Research Experience

Low Frequency Vascular Analysis of Dual-mode Transcranial Brain Stimulation (Matlab, Ultrasound) Sep. 2023—Jun. 2024

• Utilized low-frequency transcranial plane-wave ultrasound to capture blood flow information with Doppler analysis.
• Selected as the oral presenter in 2024 IEEE UFFC.

Brain-Computer Interface for Mirror Learning and Virtual Rehabilitation (Python, EEG) Jan. 2021—Jun. 2021

• Aimed at helping paralyzed patients by analyzing imagery electroencephalogram signals to control the virtual character.
• Analyzed signals with common spatial patterns and linear discriminant analysis in Riemann space.

Reversible Data Hiding in Encrypted Image via Secret Sharing Based on GF(2^8) (Python, Cryptography) Mar. 2021—Jun. 2023

• Implemented Shamir’s secret sharing integrated with zigzag algorithm for encrypting image. .
• Improved PSNR of the decrypted image from 0.5 to infinity and enhances SSIM from 0.98 to 1.

Analyzing infrastructure of known phishing domains (Python, Networking) Jan. 2022—Jun. 2022

• Analyzed the probability of being a phishing site based on its infrastructure with Shodan and WhoIs.
• Utilized web crawler in Python to monitor reported phishing domains on Phishtank and executed shell script on Linux server.

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Project Experience

Feastforward: Leftover Service and Management Platform (JavaScript, Web Application) Nov. 2023—Dec. 2023

• Developed a digital platform to address food wastage, using React.js for frontend, Spring Boot for backend, and MySQL for database.
• Executed the project following Scrum methodology and implemented DevOps practices, covering design, coding, testing, and deployment.

Memohub: Capture, Connect, Contemplate (JavaScript, Web Application) Nov. 2023—Dec. 2023

• Designed a platform for tracking thoughts and assisting personal introspection, using frontend with React.js and backend with Node.js.
• Integrated the platform with OpenAI API to generate questions using prompting design.

Yozicare: 2023 GDSC (Google Developer Student Clubs) solution challenge (Flutter, Mobile App) Jan. 2022—Jun. 2023

• Provided assistance to people with chronic kidney disease (CKD) with CKD map, CKD statistics, chatbot, food composition analysis.
• Achieved the shortlist of the Global Top 100 teams (Only team in Taiwan).

Tzu-Tsen (Christine) Hsieh

About Me

Education

Research Domain

Skill Set

Programming Language

Python

Matlab

C

C++

C# (.Net Framework)

JavaScript

Tools

Git (Github)

Docker

CICD (Jenkins)

Linux

Research Experience

Project Experience

Web Application Projects

Yozicare

Feastforward

Memohub

Contact Me