基本信息
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职业迁徙
个人简介
During my PhD I dealt with multiple types of data: physiological, navigation, images, recommendations, texts, networks and others, and developed for them compression algorithms for multiple optimization problems such as LSA, PCA, clustering and deep learning.
Much of my work had been in collaboration with industrial companies:
Infomedia consortium- I collaborated with other companies (LiveU Ltd, Liacom Systems Ltd.) and laboratories to produce a “News Room”, a system that gets big amount of tweets and automatically formulates news highlights on-line. I have also implemented for Infomedia a distribution streaming system that can faces big data by Merge and Reduce techniques in which supports any demanded compression algorithm.
Samsung- During the intensive work of our lab with Samsung, I have been involved in experiments of coresets for deep learning (training subset). In addition, I developed a recommendation system that stores only a small number of dimensions for security and privacy demands, and also implemented for them a word embedding system for sentiment analysis.
Much of my work had been in collaboration with industrial companies:
Infomedia consortium- I collaborated with other companies (LiveU Ltd, Liacom Systems Ltd.) and laboratories to produce a “News Room”, a system that gets big amount of tweets and automatically formulates news highlights on-line. I have also implemented for Infomedia a distribution streaming system that can faces big data by Merge and Reduce techniques in which supports any demanded compression algorithm.
Samsung- During the intensive work of our lab with Samsung, I have been involved in experiments of coresets for deep learning (training subset). In addition, I developed a recommendation system that stores only a small number of dimensions for security and privacy demands, and also implemented for them a word embedding system for sentiment analysis.
研究兴趣
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