{"id":7473,"date":"2025-12-15T17:48:53","date_gmt":"2025-12-15T16:48:53","guid":{"rendered":"https:\/\/rcai.de\/?page_id=7473"},"modified":"2026-04-02T10:51:51","modified_gmt":"2026-04-02T08:51:51","slug":"ai-day","status":"publish","type":"page","link":"https:\/\/rcai.de\/en\/ai-day\/","title":{"rendered":"AI Day"},"content":{"rendered":"
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AI Da<\/strong>Y<\/p>\n<\/div>\n\n\n\n

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April 22, 2026
OTH Regensburg
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On Wednesday, April 22, the Research Center for Artificial Intelligence will host the second AI day at OTH Regensburg, bringing together professionals and students in the field of AI to discuss latest advances and new ideas.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Agenda<\/h2>\n\n\n\n
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09:30<\/td>Registration<\/em><\/td><\/tr>
10:00 – 10:15<\/td>Welcome Notes
Prof. Dr. Christoph Skornia, Vice-President of OTH Regensburg
Prof. Dr. Wolfgang Mauerer, Chairman of RCAI<\/td><\/tr>
10:15 – 11:00<\/td>Keynote
Prof. Dr. Volker Tresp, LMU Munich<\/a><\/td><\/tr>
11:00 – 12:15<\/td>Talks

Learning from Imbalanced Data: Informative Subsampling for Rare Event Prediction
Prof. Dr. Anja Schmiedt, OTH Regensburg

Understanding Pixel Defects in Automotive Headlamps Through Scalable Causal Modeling
Dr. Daniel Gr\u00fcnbaum & Dr. Sebastian Imhof, ams-OSRAM International GmbH

From Static AI to Continuous Learning: A Scalable Production Strategy
Dr. Saad Al-Baddai, Infineon Technologies AG

Explicit Design Intent as Context for AI Coding Assistants: A lightweight Model-Based
Software Engineering Approach
Dr. Michael Deubzer, knowis AG

Uncovering Hidden Risks: Leveraging AI Agents, Graph Databases, and the Model
Context Protocol for Augmented Anti-Money Laundering Investigations
Dr. Andreas Schneider, IBM<\/td><\/tr>
12:15 – 13:00<\/td>Networking Lunch<\/em><\/td><\/tr>
13:00 – 13:50<\/td>Demonstrator Session

Non-competitive talk<\/em>
Pflastern 4.0
Simon H\u00f6ng, OTH Regensburg

Competition<\/em>
Real-Time Medical Fact-Checking for Instagram Reels
Jonas Boerschmann & Rijak Singh Malhotra, Technische Universit\u00e4t Chemnitz

Knowledge Manager
Denis Bucher, OTH Regensburg

AI Assisted CAD: Natural Language based 3D Modelling
Leon Dresel, OTH Regensburg

ScopeWeaver – Bringing AI out of the black box
Noah Mei\u00dfner & Samuel Bullard, Universit\u00e4t Regensburg

Anki Overdrive Quantum Reinforcement Learning Demonstrator
Benjamin Zec, OTH Regensburg<\/td><\/tr>
13:50 – 14:00<\/td>Poster Spotlights<\/td><\/tr>
14:00 – 15:00<\/td>Poster Session

Industry<\/em>
CopyStop \u2013 Development of a GenAI Model for Digitalizing a Spare Part Order Process
Andreas Erras, Manuel Reichelt, Nikola Rihl & Stephanie Sorg, Infineon Technologies AG

Agentic Framework \u2013 Enabling Knowledge Driven Decisions
Manuel Reichelt, Daniel Broxtermann, Infineon Technologies AG

Methodology for developing time series edge AI for dishwasher
Dr. Daniel Miller, Manuel J\u00f6rg, BSH Hausger\u00e4te GmbH

Patronus Protect: A System-Wide On-Device Security Layer for Controlling LLM Interactions
Dominik Hommer, Benedikt Veith, Patronous Project

Industrial applications of AI: custom AI solutions and novel ideas
Prof. Dr. Claus Koss, OTH Regensburg

Society<\/em>
Ku\u0308nstliche Intelligenz in der Sozialen Arbeit: Bedarf, Akzeptanz und
Umsetzungsm\u00f6glichkeiten in der Kinder- und Jugendhilfe
Maximilian Schultz, OTH Regensburg

Nachhaltigkeitsziele und Zivilgesellschaft: Nichtregierungsorganisationen im Zeitalter
der Ku\u0308nstlichen Intelligenz
Maximilian Schultz, OTH Regensburg

Mobility<\/em>
Identifying Cyclist Riding Styles Using Drone-Based Trajectory Data and Volatility
Clustering in Free-Flow Traffic Conditions
Hussein Bachir, Prof. Dr. Simone Weikl, OTH Regensburg

Urban Traffic Analysis Using Street-Level Video Footage
Prakhar Bhardwaj, Prof. Dr. Simone Weikl, OTH Regensburg

Chancen und Grenzen autonomer Mobilit\u00e4t im l\u00e4ndlichen \u00d6PNV
Ulrike Scorna, Vanessa Mu\u0308cke & Prof. Dr. Karsten Weber, OTH Regensburg

Medicine<\/em>
DIY Challenge Blueprint: From Organization to Technical Implementation in
Biomedical Image Analysis
Leonard Klausmann, OTH Regensburg

Improving Generalization in Mitotic Cell Detection via Domain Transformations
Max Gutbrod, OTH Regensburg<\/td><\/tr>
15:00 – 15:30<\/td>Coffee and Networking Break<\/em><\/td><\/tr>
15:30 – 17:00<\/td>Keynotes

Prof. Dr. Dieter Kranzlm\u00fcller, LRZ<\/a>

Daniel Hofmann, Telekom<\/a>: AI Gigafactory – AI Vision and Research to Measurable Value
Die AI\u202fGigafactory zeigt, wie Unternehmen k\u00fcnstliche Intelligenz systematisch von ersten
Ideen in messbaren, skalierbaren Wert \u00fcberf\u00fchren k\u00f6nnen. Durch die Verbindung modernster
GPU\u2011Infrastruktur mit leistungsf\u00e4higen Datenplattformen und industriellen KI\u2011Workflows
entsteht eine produktive \u201eAI\u2011Fabrik\u201c, in der sich komplexe Modelle, Digital Twins und
Echtzeitanwendungen erheblich schneller entwickeln und betreiben lassen. Sie erm\u00f6glicht
dar\u00fcber hinaus konkrete industrielle Anwendungsf\u00e4lle wie vorausschauende Wartung,
automatisierte Qualit\u00e4tsinspektion oder gro\u00dfskalige Simulationen, die direkt in operative
Prozesse integriert werden k\u00f6nnen und die Effizienz ganzer Wertsch\u00f6pfungsketten steigern.
Gleichzeitig gew\u00e4hrleistet das Konzept volle Kontrolle \u00fcber Daten, Betrieb und geistiges
Eigentum \u2013 ein zentraler Baustein europ\u00e4ischer technologischer Souver\u00e4nit\u00e4t.
Die AI\u202fGigafactory demonstriert damit, wie souver\u00e4ne, leistungsf\u00e4hige KI\u2011Infrastrukturen zum
entscheidenden Hebel f\u00fcr intelligente Steuerung realer Systeme werden. Ein Projekt, das von
genau diesen F\u00e4higkeiten profitiert und deren gesellschaftlichen Nutzen exemplarisch sichtbar
macht, ist AIAMO: Es entwickelt ein KI\u2011gest\u00fctztes, multimodales Mobilit\u00e4tsmanagement und
zeigt, wie anspruchsvolle Zukunftsanwendungen durch skalierbaren Compute, kuratierte Daten
und fortgeschrittene Modelle \u00fcberhaupt erst m\u00f6glich werden. So verbindet die Keynote
technologische Vision mit konkretem Nutzen \u2013 f\u00fcr Industrie, Forschung und gesellschaftliche
Infrastruktur.<\/td><\/tr>
17:00 – 17:15<\/td>Demonstrator Award Ceremony<\/td><\/tr>
17:15<\/td>Closing Remarks<\/em><\/td><\/tr>
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With kind support from<\/strong><\/p>\n\n\n\n

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Registration<\/strong><\/h2>\n\n\n\n

Participation is open to everyone and free of charge. Visit us on April 22!<\/p>\n\n\n\n

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Register now!<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Marketing Opportunities<\/strong><\/h2>\n\n\n\n

We invite <\/strong>external AI enthusiasts to take advantage of our marketing packages to make new contacts and recruit young talents in the faculty of computer science and mathematics at OTH.<\/p>\n\n\n\n

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Premium (1500 \u20ac):<\/strong><\/p>\n\n\n\n