Igor Krashenyi

Studied at the department from 2007 to 2013. In 2013, he began studying at a graduate school, after which he defended his thesis on the topic "A method of analyzing tomographic images of the brain based on fuzzy logic for diagnosing Alzheimer's disease." Has more than 15 scientific publications, including publications at top world conferences on computer vision and machine learning (CVPR and ECCV). He is fond of competitive machine learning, is in the top 100 of the world ranking on the Kaggle platform, and has the rank of grandmaster of competitions.
In parallel with scientific work, he started working in industry, dealing with the application of computer vision and machine learning to various problems.
To date, he teaches a computer vision course at the Ukrainian Catholic University, supervises the scientific work of bachelors, masters and postgraduate students, and also works as a leading engineer- researcher at SQUAD.