INGI Seminar

October 16, 2019

12:50-13:50

Louvain-la-Neuve

Shannon meeting room (a.105) - Maxwell building

Introducing example projects on visualization

by Juhee Bae, lecturer at University of Skövde, Sweden.

Visual analytics contains multidisciplinary subjects (“visualization, data mining, data management, data fusion, statistics, and cognition science”- Daniel Keim et al., 2011) that strive for data analysis and exploration to provide better understandability and efficiency. In fact, as we are aware of, it is becoming more and more important to better understand the ever- increasing generated and collected data in many domains.

In this talk, I will introduce some of my projects regarding visualization with user studies, visual analytics on topic modeling, and interpretable machine learning.

The goal is to discover what is useful, to better understand, and ultimately help us in better decision-making. Nowadays, there are more needs for coordinating various disciplines together to solve a problem or a question which can be quite challenging. We hope that this seminar brings further insight and an opportunity to network and collaborate with individuals who have similar interests.

Juhee collaborates with Pierre Schaus, Siegfried Nijssen, and Frederic Docquier at University of Louvain on migration analysis and prediction, data mining, and visual analytics. The one-year mobility project (MoRE2020) is funded by European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 754412.

Juhee Bae is a lecturer (biträdande lektor) at University of Skövde, Sweden. Juhee is interested in interpretable and interactive AI, visual analytics, and human-computer interaction. She had worked at IBM Korea as a software engineer from 2005 and received her PhD at North Carolina State University in 2014 specializing in information visualization. During her graduate career, she was a research intern at Nokia Research Center, CA and SAS Institute Inc., NC. She has reviewed papers at IEEE PacificVis, WSCG and is a member of the program committee of IVAPP from 2019.