ICG JKU Linz Lab Talk: Johanna Schmidt

Visual Analytics for Large-Scale IoT Data

Date 22.11.2022, 14:00 CET

About the Speaker:
Johanna received her master's degree in computer science in 2011. She continued with a PhD in data visualization at TU Wien, which she completed in 2016. Afterward, Johanna joined the AIT Austrian Institute of Technology GmbH as a Scientist. She was responsible for developing Visual Analytics solutions for large-scale mobility and trajectory data. In 2019, Johanna joined the VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH in Vienna, where she became the head of the Visual Analytics research group in 2020. She now leads a team of senior and junior researchers, research engineers, and students and interns. Johanna's primary research focuses on information visualization and visual analytics of large, multi-dimensional data. In this respect, she is especially interested in web-based, mobile, and progressive visualization solutions. Johanna teaches data visualization to bachelor's and master's students at TU Wien, the University of Applied Sciences in Salzburg, and the University of Applied Sciences in Krems.

Abstract:
With the digitization of the manufacturing industry, energy supplies, and other domains, enormous amounts of IoT (Internet-of-Things) data are collected. Expectations regarding quality, costs, delivery time, durability, and environmental aspects are rising at a similar speed. Data-driven manufacturing and planning opens up unprecedented opportunities to understand the impact of decisions on engineering performance and customer satisfaction. Visual Analytics plays a very important role in turning data into actionable decisions, which more and more becomes a major part for companies for remaining competitive. Visual Analytics has already proven its usability in analyzing IoT data in various projects, as outlined in this talk. However, there are still some major challenges ahead of us. We are still facing Big Data problems when it comes to providing concise overview over large amounts of data. Further, there are many challenges attached to applying visualization successfully, both from the manufacturing industry and energy sector domains, and also from visualization research perspectives. In this talk I will reflect on our past experiences in applying Visual Analytics in research projects together with industry partners and describe the main challenges we are facing now.