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Kostiantyn Kucher

Research assistant
Department of Computer Science and Media Technology Faculty of Technology
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Kostiantyn Kucher was born in Odessa, Ukraine. He received the Master's degree in Computer Science from Odessa National Polytechnic University in 2012. Currently Kostiantyn is a PhD student in Computer Science specializing in Information Visualization. He conducts his research under the supervision of Prof. Dr. Andreas Kerren with the ISOVIS group at the Computer Science Department of Linnaeus University (Växjö, Sweden).

Kostiantyn's research is focused at several problems that overlap the boundaries of Information Visualization field and domains relevant to the StaViCTA project:

  • Text Analytics and Visualization: there is a need for novel visualization and interaction techniques that can make use of computational algorithms focusing on the textual content of various types of documents available on the Internet, as well as connections between documents, document collections, authors and readers – with regard to the scalability aspect for handling massive amounts of information available for analysis (the "Big Data" problem);
  • Temporal Data Visualization: in order to analyze developments in the data over time (both from the computational and the end-user perspectives), special representations and techniques should be created and validated to be able to tackle the issues of dynamic (streaming) data, inconsistencies of data availability and granularity, and revealing the latent patterns in the data – once again, with the scalability concern in mind; and
  • Visual Analytics applications: besides the basic research on visualization and interaction techniques, the multidisciplinary nature of the StaViCTA project (as well as the field in general) calls for the applied research focused at discovering the best ways to combine the state-of-the-art (as well as the standard and use-proven) methods, the real-world data and the domain specialists' expertise in order to facilitate the data analysis for end-users by providing them with powerful means to explore and manipulate the data.

From the technical aspect, the modern software technologies and tools are used for the research with the concerns for scalability, availability for the end-user and flexibility for the augmentation / extension.


Article in journal (Refereed)

Conference paper (Refereed)

Doctoral thesis, monograph (Other academic)