Christian Rohrdantz

Christian Rohrdantz is a Lecturer at the Lucerne School of Computer Science and Information Technology (HSLU), where he teaches Data Science in the 'Economics and Data Science in Mobility' program. He holds a Dr. rer. nat. and Master/Bachelor degrees in Information Engineering from Universität Konstanz. His professional roles include co-founding Vidatics GmbH (specializing in Data Science services) and serving as a project leader in Transferforschung at Universität Konstanz. Rohrdantz's research focuses on visual analytics, sentiment analysis, and natural language processing, with notable contributions to data visualization techniques for complex datasets.

Education:

• Dr. rer. nat., Fachbereich Informatik und Informationswissenschaft, Universität Konstanz
• Master of Science in Information Engineering, Universität Konstanz
• Bachelor of Science in Information Engineering, Universität Konstanz

Research Interests:
His work emphasizes innovative visual methods for analyzing textual and temporal data, including sentiment analysis, event detection, and linguistic pattern recognition. He has developed algorithms for visualizing dynamic datasets like calendar-based event correlations and spatiotemporal sentiment trends. Rohrdantz's interdisciplinary approach bridges computer science with social sciences, focusing on applications in political discourse analysis, medical informatics, and user feedback systems.

Scientific Achievements:
He received the Airbus Group Research Prize for his doctoral work and holds patents related to visual analytics systems. Over 30 publications demonstrate expertise in topics like topic modeling with pixel-based bubbles, deliberative communication measurement, and real-time text stream analysis. Recent work explores automated disease identification from clinical text and phonotactic pattern visualization in linguistics.

Notable Projects:

• Leading 'Gesellschaftliches Verständnis von Massnahmen gegen den Klimawandel in Rotkreuz' project
• Co-developed MooVis tool for movie rating prediction
• Contributed to VAST Challenge educational frameworks

Labs/Teams:
Affiliated with Universität Konstanz's Lehrstuhl für Datenanalyse und Visualisierung and collaborates with Hewlett-Packard Research Labs on advanced visualization technologies.