National Cheng-Kung University (NCKU), Tainan, Taiwan. (Aug 2019 – Now)

Doctoral of Computer Science, Department of Computer Science and Information Engineering.  

1. • Supervisors: Professor. Jenn-Jier James Lien (NCKU), and Professor. Shu-Mei Guo (NCKU).

   • Courseworks: Deep Learning, Parallel Computing, and Smart Sensing and Mobile Computing.

   • Major Research:

     1. Deep Learning and Machine Learning.

     2. Object Detection, Segmentation, and Tracking.

     3. Visual Guided Robot-arm Control and Automation.

     4. Medical Image Analysis.

     5. Automatic Optical Inspection.

     6. Embedded Computer Vision.

     7. Deep Learning-based Clustering and Assigning Problems.

National Cheng-Kung University (NCKU), Tainan, Taiwan. (Aug 2017 - July 2019)

Master of Computer Science, Department of Computer Science and Information Engineering.

• Dissertation Title: "Ball-Grid-Array (BGA) Chip Defect Detection and Classification using the Patch-based Modified YOLOv3".

• Coursework: Image Processing, Computer Vision, Machine Learning, Pattern Recognition, Optimization Design, and Intelligent Computing and Big Data. 

• Cumulative GPA: 3.74 (scale of 4)

The University of Da Nang - University of Science and Technology (DUT), Da Nang, Viet Nam. (Sep 2011 - July 2016)

Bachelor of Electronic Engineering, Faculty of Electronics and Telecommunication Engineering.

• Capstone Project: Information Analysis and Communication in Automatic Vehicles through Controller Area Network (CAN BUS) Protocol.

Technical Skills:

1. • Platform: Windows, Mac OSX, and LINUX.

   • Programming language: Python, SQL, C, C++, C#, and MATLAB.

   • On-Chip Programming: FPGA, ARM Cortex-M4, MSP430, Arduino, and Intel Galileo.

   • 3D Simulation Design: SolidWorks, and SketchUp.

   • Assembling and Operating: 3D Printing Machines (Maker Bot, Prusa, and Hbot), and 2D CNC.

   • Documentation Tool: MS Office (Word/Excel/PowerPoint), and LaTeX.

AI Skills:

1. • Frameworks: TensorFlow, Keras, and PyTorch.

   • Packages: OpenCV, Pandas, NUMPY, SCKIT Learn, skimage, Git, and Tensorboard.

   • Data Visualization: Matplotlib.

   • Algorithms:

     1. Linear/ Logistic Regression/ Classification.

     2. Transformers.

     3. CNN/ RNN/ LSTM/ GAN.

     4. Transfer Learning.

     5. Clustering.

English Skills:

1. • Achieving a Score of 850 TOEIC (March 2023).

   • Achieving a Score of 530 TOEFL IPT (July 2016).

   • Writing and Publishing Scientific Journals or Papers.

   • Acquire rapid comprehension of Scientific Journals or Papers.

Defect Detection (Academy-Industry Cooperating Projects):

1. 1. Display-Panel Defect Detection and Defect Code Decision using the Multi-task YOLOv4. (Published in Automation 2020)

   2. Ball-Grid-Array Chip Defects Detection and Classification using the Patch-based Modified YOLOv3. (Published in TAAI 2019)

   3. High-speed Optical Inspection System for Detecting Cut Countersink Defects based on Modified RetinaNet.

Visual-Guided Robot Arm (Academy-Industry Cooperating Projects):

1. 4. Visual-Guided Robot Arm using Multi-Task Faster R-CNN. (Published in TAAI 2019)

Deep Clustering (Academy-Industry Cooperating Projects):

1. 5. Hand-drawn Repair Path Clustering using the Deep Clustering Method.

   6. Automatic Repairing Methods Assigning for Display Panel Defects.

Lung Nodule Detection (Academy-Hospital Cooperating Projects):

1. 7. Subsolid Nodules Detection in 2D Lung CT Images using the Modified YOLOv4. (2021 Master Student’s Thesis)

Interactive Segmentation (Academy-Hospital Cooperating Projects):

1. 8. 3D Interactive Segmentation for Labelling Lung Nodules (2022 Master Student's Thesis).

Basic:

1. Machine Learning [Link]

2. Crash Course on Python [Link]

3. Data Science with Python [Link]

4. Ultimate Python Bootcamp For Data Science & Machine Learning [Link]

5. Introduction to Analytics [Link]

Computer Vision

6. First Principal of Computer Vision Specialization (5 Courses) [Link]

IBM Data Engineering

7. Introduction to Data Engineering [Link]

8. Python for Data Science, AI & Development [Link] [Link]

9. Hands-on Introduction to Linux Commands and Shell Scripting [Link]

10. Introduction to Big Data with Spark and Hadoop [Link]

Data Mining

11. Text Retrieval and Search Engines [Link]

12. Text Mining and Analytics [Link]

13. Pattern Discovery in Data Mining [Link]

14. Cluster Analysis in Data Mining [Link]

Data Scientist

15. Certified Professional Data Scientist

Additional:

16. The Complete GANs Bootcamp: Theory and Applications [Link]

1. NCKU Distinguished International Student Scholarship for Doctoral Degree 2019-Now

2. Veritas et Conscientia Scholarship (VCS) for Doctoral Degree (12,500 $US/ year) 2020-2021

3. E.SUN Bank Scholarship for Outstanding ASEAN Master’s Student (3,500 $US) October 2018

4. NCKU Distinguished International Student Scholarship for Master’s Degree 2017-2019

5. Awarded the Best Presentation Prize in the TI MCU Design Contest. 2015

6. Attended the Texas Instrument Microcontroller (TI MCU) Design Contest. 2014, 2015