Scholar
Vitaliy Kinakh
Google Scholar ID: tGCmfh0AAAAJ
University of Geneva
Citations & Impact
Citations
263
H-index
7
i10-index
5
Publications
20
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Main author of InfoSCC-GAN, paper accepted to NIPS 2021; Co-author of SC-GAN, paper accepted to NIPS 2021; Co-author of Turbo-Sim, paper accepted to NIPS 2021; Main author of ScatSimCLR, paper accepted to ICCV 2021, SOTA on CIFAR20 Unsupervised Image Classification; NASA Space Apps Challenge winner for Air Quality Monitor (2019) and Make Cities Green Again (2018).
Research Experience
- Research & Development Engineer at ABTO Software (Jan 2018 - Feb 2021), using Computer Vision, Machine Learning, and Deep Learning to solve real-world problems in retail, security, automatic document processing, and agriculture; GeoData Annotation Specialist (Remote) at International Institute for Applied Systems Analysis (Sep 2017 - Feb 2019); Computer Vision Intern at ABTO Software (Jun 2017 - Aug 2017), created a currency recognition app and a computer vision calculator.
Education
- Ph.D. student in Computer Science at University of Geneva (2021 - present); Master in Mathematical and Computer Modelling from Lviv Polytechnic National University (2020 - 2021); Research Intern in Computer Science at Laval University (2019) via MITACS Globalink; Bachelor in Applied Mathematics from Lviv Polytechnic National University (2016 - 2020)
Background
- Result-driven Ph.D. student with experience in Computer Vision, Deep Learning, Machine Learning, and GeoData Analysis projects of various industries. Interested in self-supervised learning, explainable and effective AI. Working on bringing Deep Learning into physics.
Miscellany
- Programming: Python, C++; Machine Learning/Deep Learning/Computer Vision: Scikit-Learn, Keras, Pytorch, OpenCV, DLib, Tesseract; Geoinformation systems: QGIS, Google Earth Engine; Languages: Ukrainian (Native), English (Advanced), Russian (Advanced), French (Beginner), Polish (Beginner), German (Beginner); Other: Flask, Linux, Windows, Git, SVN, Docker
