ABOUT

Hi there! This is rEY-yIE aBEL fONG and welcome to view my work. Yep, just graduated in Aug 2021 and open to work. I did my PhD in Mechanical and Aerospace Engineering, North Carolina State University. At the same time, I was also a visiting student in the National Institute of Aerospace under NASA Samuel P. Langley Professor Program doing research on integrated system health management (ISHM) and non-destructive damage inspection (NDI) systems. The inspection of damages in composite structures highly relies on personal experiences and is quite biased. I'm focusing on implementing machine learning techniques to localize, identify and quantify potential damages in structures, and then automating the entire inspection processes. "Figureedge" stands for the edge of the digital world we live in and the expanding technology boundaries of artificial intelligence.

SPECIALTIES IN
Physics-informed data-driven modeling (PDM), Multi-sensor data fusion (MSDF), Autonomous driving and perception system, Integrated structural health monitoring (ISHM), Non-destructive damage inspection (NDI), Wave and vibration-based damage inspection (W-VDI), Laser and vision-based interferometry, Noise, vibration & harshness (NVH), Structural acoustic analysis, CAE & Fluid-structure interaction (FSI), Vehicle dynamics
KEY STRENGTHS
- 10 years of project management experiences on electrical vehicle, luxury yacht and light sport aircraft design
- 7 years hands on experiences in composite structure design and manufacturing management
- Deep knowledge in NVH, structure dynamics and vehicle crashworthiness
EDUCATION
2014 - 2021  |  North Carolina State University, Mechanical and Aerospace Engineering, Ph.D. 
2018 - 2019  |  Massachusetts Institute of Technology / edX, Statistics and Data Science, MicroMaster 
2007 - 2009  |  National Taiwan University, Mechanical Engineering, M.S. 
2003 - 2007  |  National Taiwan University, Mechanical Engineering, B.S. 
CERTIFICATES - Massachusetts Institute of Technology / Professional Education 
2020  |  Machining Learning - From Data to Decision  |  Credential
CERTIFICATES - Massachusetts Institute of Technology / edX  
2018 - 2019  |  MITx MicroMaster in Statistics and Data Science  |  Credential
Capstone Exam for Statistics and Data Science  |  link
Machine Learning with Python - From Linear Models to Deep Learning  |  link
Fundamentals of Statistics  |  link
Data Analysis in Social Science - Assessing Your Knowledge  |  link
Probability - The Science of Uncertainty and Data  |  link
The Analytics Edge  |  link
Introduction to Computational Thinking and Data Science  | link
Introduction to Computer Science and Programming Using Python  |  link
CERTIFICATES - deeplearning.ai

2020  |  Deep Learning - 5 Courses Specialization  |  Credential
Neural Networks and Deep Learning  |  link
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization  |  link
Structuring Machine Learning Projects  |  link
Convolutional Neural Networks  |  link
Sequence Models  |  link

2020  |  TensorFlow in Practice - 4 Courses Specialization  |  Credential
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning  |  link
Convolutional Neural Networks in TensorFlow  |  link
Natural Language Processing in TensorFlow  |  link
Sequences, Time Series and Prediction  |  link
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