Mykola Liashuha
Deep Learning Researcher at CEA-List- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
0
/5.0 / Based on 0 ratingsFilter reviews by:
Credentials
-
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraMay, 2020- Sep, 2024 -
Autonomous Cars: Deep Learning and Computer Vision
UdemyDec, 2019- Sep, 2024 -
IELTS Academic 7.0
IELTS OfficialOct, 2019- Sep, 2024
Experience
-
CEA-List
-
France
-
Think Tanks
-
100 - 200 Employee
-
Deep Learning Researcher
-
Oct 2022 - Present
Moonshot project: Training and integrating multi-task vision robotic-arm model using RL and DAgger Imitation Learning
-
-
Machine Learning Research Intern
-
Mar 2022 - Sep 2022
Done internship at CEA LIST, LVA lab: "Action prediction in football videos with vision transformers" Key idea was to predict what kind of action happens at every second in soccer videos. It was done by doing pre-training of the transformer and fine-tuninng it on SoccerNet Action Spotting Dataset
-
-
-
CentraleSupélec
-
France
-
Higher Education
-
700 & Above Employee
-
Deep Learning Research Intern
-
May 2021 - Aug 2021
Detection of Metastatic Breast Cancer in Sentinel Lymph Nodes at MICS Laboratory Detection of Metastatic Breast Cancer in Sentinel Lymph Nodes at MICS Laboratory
-
-
-
Inria
-
France
-
Research Services
-
700 & Above Employee
-
Machine Learning Intern (Travail d'Etude et de Recherche)
-
Nov 2020 - Feb 2021
Use of Graph Neural Networks for gas-liquid interface reconstruction in CFD numerical simulations. Performed experiments with "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering", "Inductive Representation Learning on Large Graphs" and "PointCNN: Convolution On X-Transformed Points papers". Use of Graph Neural Networks for gas-liquid interface reconstruction in CFD numerical simulations. Performed experiments with "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering", "Inductive Representation Learning on Large Graphs" and "PointCNN: Convolution On X-Transformed Points papers".
-
-
-
-
Machine Learning Engineer
-
Aug 2019 - Aug 2020
Implementing autonomous grocery shop with a similar idea to Amazon Go Using multi-camera view for 3D human pose tracking Involved in instance segmentation and background subtraction tasks Detecting events using signal from weight sensors Implementing autonomous grocery shop with a similar idea to Amazon Go Using multi-camera view for 3D human pose tracking Involved in instance segmentation and background subtraction tasks Detecting events using signal from weight sensors
-
-
-
IPLAND
-
Ukraine
-
IT Services and IT Consulting
-
1 - 100 Employee
-
Data Scientist
-
Jun 2019 - Aug 2019
Developing automatic system for product merchandising using AI Detecting products on grocery store shelves with Mask-RCNN Developing automatic system for product merchandising using AI Detecting products on grocery store shelves with Mask-RCNN
-
-
-
EPAM Systems
-
IT Services and IT Consulting
-
1 - 100 Employee
-
ASP.NET Student
-
Feb 2018 - Aug 2018
-
-
Education
-
Université Paris-Saclay
M2 Artificial Intelligence, Artificial Intelligence -
Université Paris-Saclay
M1 Artificial intelligence, Artificial Intelligence -
University of Zagreb/Sveuciliste u Zagrebu
Erasmus+ exchange semester, Computer Science -
Taras Shevchenko National University of Kyiv
Bachelor's degree, Software Engineering