Vitaliy Kinakh
Bibliography
Vitaliy Kinakh received a BS in Applied Mathematics degree and MSc in Mathematical and Computer modeling and from Lviv Polytechnic National University in 2020 and 2021. He was working as a consultant, engineer, and researcher in the areas of Computer Vision, Machine Learning, Deep Learning, and Remote Sensing both in private industry and academia.
Research interests
- Current research directions:
- Self/semi-supervised learning
- Generative models
- Data-Efficient Deep Learning
- Computer vision: deep learning for image processing, recognition, compressive sensing
- Previous research:
- Remote sensing: analysis of raster data on GHG emissions and nighttime light, deep learning for remote sensing (BS, MS, collaboration with IIASA, NASA and Universities Space Research Association (USRA))
- Optimization and operational research (Internship at Laval University, Quebec, Canada)
Teaching
Teaching assistant for:
Publications
See at Google Scholar