2008 – 2013 – Ivan Franko National University of Applied Mathematics. MSc
winner of the All-Ukrainian Mathematics Olympiad and participant in the International Mathematics Olympiad
jury member of the All-Ukrainian Olympiads and International Mathematics Olympiad
over 8 years in IT (Java, Python, Android)
Teacher of Basic Programming and Object-Oriented Programming.
Current interests are related to the field of AI (Computer Vision, Machine Learning). Together with students he is engaged in research and development of projects dedicated to the topic of the use of AI in medicine.
Weakly-supervised segmentation for disease localization in chest x-ray images
Spectra of rank-one perturbations of self-adjoint operators
Is Mapping Necessary for Realistic PointGoal Navigation?
Direct and inverse spectral problems for rank-one perturbations of self-adjoint operators
Robust deep learning pipeline for PVC beats localization
Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
Reconstruction of differential operators with frozen argument
LID 2020: The learning from imperfect data challenge results
OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching
Direct and Inverse Spectral Problems for Rank-One Perturbations of Self-adjoint Operators
Spectra of rank-one perturbations of self-adjoint operators
Towards realistic symmetry-based completion of previously unseen point clouds
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images
On recognition of Cyrillic Text
Investigation of the Complex Data Distributions for their Efficient Generation