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Faculty researchers win best demo award for VisuEls

Submitted on Thursday, November 18, 2021

Congratulations to post-doctoral researcher Gaël Bernard and Assistant Professor Periklis Andritsos, who won the Best Demo award from the International Conference on Process Mining earlier this month for their demo paper, VisuELs: Visualization of Event Logs.

In the paper, Bernard and Andritsos propose a technique to transform event logs of any size into compact visualizations that they call VisuELs, short for Visualization of Event Logs. VisuELs are particularly useful in the exploratory phase of a process mining project to extract key insights about an event log, as Bernard explains in this video.

Andritsos’ research focuses on solving challenging problems that have to do with the analysis, extraction and summarization, as well as the qualitative and quantitative assessment, of online and offline semi-structured content. From clustering to schema discovery and from redundancy quantification to predictive analytics, his interest is to teach and research how machines can help students, researchers and business managers acquire the most from their research areas and market fields.

He and Bernard are currently working together to develop new techniques to better understand the “customer journey” using process mining, business process management and machine learning techniques.

They are also academic co-founders of Odaia Intelligence, an AI-fuelled customer data platform.

In 2019, they won the best paper award for their work Accurate and Transparent Path Prediction Using Process Mining at the 23rd European Conference on Advances in Databases and Information Systems.