We are glad to announce that our chapter to the student handbook “Praxishandbuch Forschungsdatenmanagement” (Engl.: practice handbook research data management) was accepted and got printed at De Gruyter. Our chapter […]
With the kickoff of the European collaboration project “Partnerships with Eastern Europe”, the Darmstadt University of Applied Sciences, and particularly our team, has decided to focus more on European cooperation. […]
After an extremely challanging year, the Human-Computer Interaction and Visual Analytics team at h_da wishes you peace, joy and prosperity throughout the coming year. Thank you for your continued support […]
Three of our submitted collaboration papers got accepted at the this year’s IEEE Information Technology and Management Science Conference 2020. The conference aims at bringing together young scientists and researchers […]
In his thesis, Midhad Blazevic alyzes exploratory search systems which use sophisticated features, visualizations and similarity-based algorithms to enhance exploratory searches. Examining how similarity algorithms are currently used in combination […]
With the kickoff of the e-Learning project Digitallabor, we are supporting the education and training strategy of digital teaching in vocational training. Especially the COVID-19 crisis increased the need for […]
At the this year’s Collaborative European Research Conference (CERC 2020) two of our students papers titled “Visual Dashboards in Trend Analytics to Observe Competitors and Leading Domain Experts” and “A […]
We are very glad to be accepted for presenting our papers titled “Comparison of Full-text Articles and Abstracts for Visual Trend Analytics through Natural Language Processing” and “An Industry 4.0-Ready […]
The Darmstadt University of Applied Sciences (h_da) is part of the “European University of Technology” under the permission of the European Commission. The eight universities involved convinced the EU Commission […]
Mina Schütz wrote her master thesis under the supervision of Prof. Dr. Kawa Nazemi und Prof. Dr. Melanie Siegel toward “Detection and Identification of Fake News: Binary Content Classification with […]