王鈺豪 Vincent

Firmware Engineer

  Hsinchu, Taiwan

0958860279

  [email protected]

  

I come from Pingtung, Taiwan, and I am a second-year master's student at Yang Ming Chiao Tung University. 

My research fields are image processing, deep learning(CNN) and medical imaging. I am currently cooperating with E-Da Hospital to develop an image recognition system based on mammography to classify breast cancer.

My research project in the university department is a dementia detection system based on image processing and CNN frameworks and other CV algorithms.

    

工作經歷


Firmware Engineer

群聯電子 PHISON Electronics

十一月 2022 - Present
Taipei, Taiwan

Responsible for firmware program architecture design and maintenance of eMMC controllers, specializing in data recovery techniques.

Software Engineer Intern

Zcom, Inc.

七月 2020 - 九月 2022
Taipei, Taiwan

Working as an Engineering intern for computer vision related applications developing
● Using Deepstream SDK to do electronic fence over 4 cameras on nVIDIA Jetson Nano platform
● Constructing the face recognition and body temperature measurement system on Raspberry pi 4, and linking the system to the attendance system of Z-COM, Inc.

Engineering Intern

ShopBack

九月 2019 - 五月 2020
Taipei, Taiwan

Work as an Engineering intern in QA team, construct first automation tool for web regression test.
● Using Cypress.io framework to do automation regression test
● Using mochawesome framework to export test report
● Link Slack and Testrail to send report via APIs
● Construct script for QA manager to update/add case to Testrail

Education


2020 - 2022

National Yang Ming Chiao Tung University

Master's Degree - Computer Science and Information Engineering, Institute of Multimedia Engineering 

GPA 4.3/4.3

  • Developing mammography image recognition system based on convolutional neural network with E-Da Hospital.

2016 - 2020

National Taipei University

Bachelor's degree - Computer Science and Information Engineering GPA 3.9/4.0

  • The under-graduate student of the IMS lab in this period, tried to utilize deep learning technology and computer vision to detect dementia in an easier way. Thus, we create an assessment system that uses a clock drawing to determine whether the user has dementia in only one minute.

Skill

Language


  • C++
  • Python
  • OpenCV(Image processing library)
  • Deep learning(CNN mainly)
  • Cypress.IO(Web automation regression tests tool)

  • English — Intermediate
  • Chinese — Native

Project


Fast Assessment of Cognitive Impairment Using Clock Drawing Test and Deep Learning Identification (Accepted by IEEE SMC, 2020)

In this study, we proposed a computerized CDT fast assessment system based on image processing and machine intelligence. The proposed system is implemented and ported as a mobile application (app) with a user-friendly interface.

Award


2019 Creative Software Applications Contest Award, Taiwan

Works: "Dementia assessment system based on the clock method" has been awarded a Gold Medal(First place) Award in the Smart Sensing and Interactive Multimedia Division of the 2019 Creative Software Applications Contest.