Alexander Filonenko

Alexander Filonenko

ABOUT ME
Ph. D. candidate in Computer Vision
Ph. D. candidate in Computer Vision
Seoul (+09:00)
Joined July 2018
EXPERTISE
7 years experience
Applied CV for detection of smoke and fire. Also, helped writing code for lane detection for autonomous vehicles.
Applied CV for detection of smoke and fire. Also, helped writing code for lane detection for autonomous vehicles.
1 year experience
Use Pytorch and Keras for image and video classification
Use Pytorch and Keras for image and video classification
7 years experience
Multiple implementations of computer vision algorithms
Multiple implementations of computer vision algorithms
2 years experience
I use Python for deep learning
I use Python for deep learning
8 years experience
I wrote programs using EmguCV and WPF from time to time.
I wrote programs using EmguCV and WPF from time to time.
SOCIAL PRESENCE
GitHub
cnn_evaluation_smoke
Evaluation of CNN for Smoke Detection
Python
2
0
ModernArtUI
Modern art based GUI demonstration
Java
0
0
EMPLOYMENTS
Intern
Hyundai Motor Company / University of Ulsan
2010-09-01-2011-01-01
Trained to perform automotive assembly process decomposition: car electronics, sensors, etc. Participated in Robotics and Comp...
Trained to perform automotive assembly process decomposition: car electronics, sensors, etc. Participated in Robotics and Computer Vision capstone: autonomous mobile robot
LabVIEW
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LabVIEW
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Software Engineer
Veon
2009-07-01-2010-07-01
Implemented a business logic for billing systems using Java Developed an automatic testing system for billing servers
Implemented a business logic for billing systems using Java Developed an automatic testing system for billing servers
Java
SQL
Java
SQL
PROJECTS
Smoke and Fire Detection using Deep Learning
2017
· Built and trained deep neural networks to detect smoke and fire on images and videos · Experimented with different network architec...
· Built and trained deep neural networks to detect smoke and fire on images and videos · Experimented with different network architectures · Performed image pre-processing, dataset augmentation, and validation to prevent overfitting
Python
NumPy
Computer Vision
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Python
NumPy
Computer Vision
Keras
PyTorch
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Falling Action Recognition
2018
Built and trained a deep neural network to detect a human fall action Performed image pre-processing
Built and trained a deep neural network to detect a human fall action Performed image pre-processing
Python
Computer Vision
Keras
Python
Computer Vision
Keras