LÊ PHONG PHÚ (Phong-Phu Le)
I am a Ph.D. candidate at National Cheng Kung University (NCKU), Taiwan, under the guidance of Professors Prof. Jenn-Jier James Lien. My research is conducted at the Robotics Lab within the Department of Computer Science and Information Engineering. My primary focus areas include Machine Learning, Deep Learning, Computer Vision, and Medical Image Processing.
"Simplicity is the ultimate sophistication." — Leonardo da Vinci.
National Cheng-Kung University (NCKU), Tainan, Taiwan.
Supervisor: Professor. Jenn-Jier James Lien.
Coursework: Deep Learning, Parallel Computing, Smart Sensing and Mobile Computing.
Research Focus:
Deep Learning and Machine Learning.
Object Detection, Segmentation, and Tracking.
Visual-Guided Robot Arm Control and Automation.
Medical Image Analysis.
Automatic Optical Inspection.
Embedded Computer Vision.
Deep Learning-based Clustering and Assignment Problems.
National Cheng-Kung University (NCKU), Tainan, Taiwan. (Aug 2017 - July 2019)
Dissertation: "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, Intelligent Computing, and Big Data
GPA: 3.74/4.0
The University of Da Nang - University of Science and Technology (DUT), Da Nang, Viet Nam. (Sep 2011 - July 2016)
Capstone Project: Information Analysis and Communication in Automatic Vehicles through Controller Area Network (CAN BUS) Protocol.
Operating Systems: Windows, macOS, Linux
Programming Languages: Python, C/C++, C#, MATLAB, SQL
Hardware Platforms: FPGA, ARM Cortex-M4, MSP430, Arduino, Intel Galileo
3D Design Tools: SolidWorks, SketchUp
Machine Operation: 2D CNC Drawing Machines, 3D Printers (MakerBot, Prusa, Hbot)
Documentation: MS Office Suite, LaTeX.
Version Control: Git
Frameworks: TensorFlow, Keras, PyTorch, Scikit-Learn, XGBoost
Libraries: OpenCV, Pandas, NumPy, TensorBoard
Architectures: CNNs, RNNs, Transformer Models
Domains:
Computer Vision: Image Classification, Object Detection, Segmentationm, Tracking and Pose Estimation.
Natural Language Processing: Tokenization, NER, Text Classification, Sentiment Analysis.
Reinforcement Learning: Q-Learning, DQN, Policy Gradient Methods.
Generative Models: GANs for Image Generation and Style Transfer
Model Optimization: Hyperparameter Tuning, Transfer Learning, Model Pruning
Explainable AI: Techniques for Model Interpretability
AutoML: Automated Model Selection and Hyperparameter Tuning
Time Series Analysis: Forecasting, Anomaly Detection
Unsupervised Learning: Clustering, Dimensionality Reduction, Anomaly Detection
Model Deployment: Production Environment Deployment
Evaluation Metrics: Accuracy, Precision, Recall, F1-Score, ROC-AUC
Data Handling: Data Collection, Preprocessing, Labeling, Integration
Statistical Analysis: Hypothesis Testing, Regression, Bayesian Statistics
Big Data Technologies: Hadoop, Spark, Hive, MapReduce
Visualization Tools: Matplotlib, Seaborn, D3.js, ggplot
Databases: SQL, NoSQL (MongoDB, Cassandra, HBase)
Data Ethics & Security: Bias Mitigation, Data Privacy, Compliance
TOEIC: 850 (March 2023)
TOEFL IPT: 530 (July 2016)
Academic Writing: Experience in Writing and Publishing Scientific Papers
Literature Review: Efficient Comprehension of Scientific Journals
Display-Panel Defect Detection: Utilized Multi-task YOLOv4 for defect code decision. Published in Automation 2020.
BGA Chip Defect Detection: Implemented Patch-based Modified YOLOv3 for classification. Published in TAAI 2019.
High-Speed Optical Inspection: Developed system based on Modified RetinaNet for detecting cut countersink defects.
Multi-Task Faster R-CNN: Integrated for visual guidance in robot arm operations. Published in TAAI 2019.
Hand-Drawn Repair Path Clustering: Applied deep clustering methods for path analysis.
Automatic Repair Method Assignment: Developed system for display panel defect repairs.
Subsolid Nodule Detection: Employed Modified YOLOv4 on 2D Lung CT images. Master’s Thesis, 2021.
3D Interactive Segmentation: Created labeling tool for lung nodules. Master’s Thesis, 2022.
Machine Learning [Link]
Crash Course on Python [Link]
Data Science with Python [Link]
Ultimate Python Bootcamp For Data Science & Machine Learning [Link]
Introduction to Analytics [Link]
First Principal of Computer Vision Specialization (5 Courses) [Link]
IBM Data Engineering
Introduction to Data Engineering [Link]
Hands-on Introduction to Linux Commands and Shell Scripting [Link]
Introduction to Big Data with Spark and Hadoop [Link]
Data Mining
Text Retrieval and Search Engines [Link]
Text Mining and Analytics [Link]
Pattern Discovery in Data Mining [Link]
Cluster Analysis in Data Mining [Link]
Data Scientist
Additional:
The Complete GANs Bootcamp: Theory and Applications [Link]
Scholarship
NCKU Distinguished International Student Scholarship for Doctoral Degree 2019-Now
Veritas et Conscientia Scholarship (VCS) for Doctoral Degree (12,500 $US/ year) 2020-2021
E.SUN Bank Scholarship for Outstanding ASEAN Master’s Student (3,500 $US) October 2018
NCKU Distinguished International Student Scholarship for Master’s Degree 2017-2019
Awarded the Best Presentation Prize in the TI MCU Design Contest. 2015
Attended the Texas Instrument Microcontroller (TI MCU) Design Contest. 2014, 2015
