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NVIDIA DLI Certificate – Applications of AI for Anomaly Detection

NVIDIA Deep Learning Institute

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Program for Technical Professionals

Taiwan AI Academy (AIA)

2 years of experience in Self- Driving Car and
3 years of experience in Artificial Intelligence

- 主要的研究方向為電腦視覺與影像處理，應用領域為智慧車輛及先進駕駛輔助系統。
- 成功投稿SCI期刊(Applied Sciences, ISSN: 2076-3417, Impact Factor: 2.474)。
- 前往加拿大參與系統與控制領域國際研討會(IEEE SMC 2017)，並且上台口頭報告研究成果，另外還獲得研討會額外提供的補助金。

國立臺北科技大學

國立虎尾科技大學

Machine Learning Engineer

Eddy Chen

日新軟體股份有限公司

機器學習工程師

- Develop, optimize and maintain the machine learning algorithm for internal process automation
- Deploy machine learning models as API or on edge devices.

【Deep Learning】
1. Cardiac Ejection Fraction Estimation
 - Video classification model training for estimating ejection fraction scores.
 - Semantic segmentation model training for identifying ventricular contractions and providing visualization.

2. Fall Detection
 - Implemented real-time fall detection for multiple persons by using LSTM neural network combined with features obtained via human pose estimation.
 - Experiments design and collect training data.

【Self-Driving Car】
1. Perception
 - Developed sensor fusion algorithms that combine data from multiple sensors (LiDAR, radar, camera, etc.) to generate a more accurate and reliable understanding of the environment.

2. Software Integration
 - System integration and real car tests at Taiwan CAR Lab and Taipei University.

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