Zvgavm4ifkyosoeobc39

Chi-Rung Chang

[email protected]

 +886 955336362
Hsinchu, Taiwan

Objectives:
 Computer vision/ Deep Learning/ Machine Learning Engineer
Digital Integrated Circuit Design Engineer

Education

National Chiao Tung University (NCTU)                                      Hsinchu, Taiwan

M.S. in Department of Electronics Engineering                                                    Sep. 2017- Sep. 2019

  • Laboratory: Artificial Intelligence and Multimedia Laboratory (AIMM LAB)
  • Course: Machine Learning, Deep Learning, Integrated Circuits Lab (IC Lab), Digital Integrated Circuits (DIC)
  • Experience: Teaching Assistant of Artificial intelligence

National Cheng Kung University (NCKU)                                     Tainan, Taiwan 

B.S. in Department of Electronics Engineering                                                     Sep. 2013- Jun. 2017

  • Final ranking: 8/55, 21/159
  • Laboratory: IMSPMD LAB
  • Honors:  NCKU EE 2014 Academic Excellence Award, NCKU EE 2015 Academic Excellence Award

Skills


Languages

  • TOEFL IBT 95/120
  • GEPT high-intermediate preliminary test


Programming Language

  • Verilog
  • C/C++
  • Python
  • Matlab


DL Framework

  • Tensorflow
  • Pytorch




Project and Course in NCTU

Research topic,                                                                          2019.6 - 2019.9

A Windshield Image Enhancer Based on a Two-way Generative Adversarial Network

Project cooperate with Foxconn,                                            2019.2 - 2019.9

Object Detection applied on Automated Optical Inspection (AOI).

(Cooperate with Foxconn)

Research topic,                                                                          2018.10 - 2019.5

CBPNet: Class-balancing Pyramid Network for CT Lesion Detection

Deep Learning in NTHU (teaching by Shan-Hung, Wu),      2018.9 - 2019.1

Course Project: (Tensorflow)

1. Predicting Appropriate Response: Word2Vec + SGDClassifier

2. Image Object Detection & Localization: YOLOv1

3. Image Caption: VGG16 + LSTM

4. Reverse Image Caption: Conditional GAN

5. You Draw I Draw: Sketch-RNN

(Besides, we have 16 labs in this course)

Deep Learning in NCTU,                                                            2018.7 - 2018.8

Course Labs: (Pytorch)

1. ResNet

2. LSTM

3. CVAE

4. TD-Learning

5. DDPG

Integrated Circuits Lab (IC Lab),                                               2018.2 - 2018.6

Course Project:  (Verilog)

1. BFS to find a solution of a maze.

2. Gradient Descent on a polynomial function.

(Besides, we have 12 labs in this course)

Digital Integrated Circuits (DIC),                                              2018.2 - 2018.6

Project in NCKU,                                                                         2015.7 - 2016.7

Multiphase Bulk Converter with Current Balancing and Adaptive Voltage Positioning.