Evgeny Krivosheev

Evgeny Krivosheev is a post-doctoral researcher at the Multimedia&Human Understanding Group in Italy, with a focus on Graph Neural Networks for Computer Vision and Self-Supervised Learning.

He obtained his PhD in Computer Science from the University of Trento in 2020, specializing in finite pool classification, crowdsourcing, hybrid crowd-machine learning, and active learning algorithms.

Krivosheev's research involves using a range of machine learning techniques such as TF-IDF, Word Embeddings, Transformers, Logistic Regression, Deep Neural Networks, and Graph Networks.

He leverages state-of-the-art crowdsourcing and data fusion algorithms to obtain high-quality training data from potentially noisy sources.

Evgeny Krivosheev has a diverse educational background that includes studying Aerospace electronics and information systems at Belarusian State University.

He has also been associated with organizations like IBM Research AI, IBM Benelux, Pi School, Purdue University, iTechArt Group, and Promwad, electronics design.

For more information, you can visit his personal page at http://krivosheev.me/