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Research Center for AI in Science & Society

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Poster

Name Title
Michael Altmann, Sebastian Speiser, Niki Balestrieri, Markus Kohlhuber, & Vedran Perić Predictive Charging Strategies for Extended EV Battery Life and V2X Revenue
Rodrigo Q. Albuquerque & Holger Ruckdäschel Machine Learning for Polymer Engineering: Bayesian Optimization, Active Learning, and Inverse Design
Henri Berntgen & Christopher Künneth Machine Learning for Predicting Microplastics Hazard
Daniel Buschek Human-AI Interaction for “Tools for Thought”
Ágnes Cseh Germany's Kidney Exchange Program: From Matching Theory to National Healthcare Infrastructure
Luca Deck, Domenique Zipperling, Leo Jessat, & Niklas Kühl Data-Centric Algorithmic Fairness: A Systematic Review of Data-Level Interventions for Algorithmic Fairness
Luca Deck, Anton Hummel, Paula Ziethmann, Katelyn Morrison, Philipp Spitzer, & Niklas Kühl 5(0) Shades of Wrong: Disentangling the Wrongness of AI Explanations
Christian Fikar & Christine M. Pardo Decision support systems for sustainable operations of local food networks
Doris-Muriel Finckh & Udo Latino Strategische KI-Integration zwischen organisationaler Befähigung und wertschöpfenden Quick Wins
Gesa Freimann, Caterina De Bacco, & Hadeer Elhabashy PINSTACK: A Probabilistic Generative Model for Link Prediction and Community Detection in Protein Interaction Networks
Sarah Gerner & Thomy Phan Decision Stability and Learning under Uncertainty
Maria Hecht, Peter Grohmann, Markus Zimmermann, Tobias Rosnitschek, & Stephan Tremmel ASSiSTance for Engineers: Gating SMEs from Automated Simulation Design to HPC
Christian Imenkamp, Henrik Kirchmann, Svenja Plumhoff, Matthias Weidlich, & Agnes Koschmider Glass-Box Activity Discovery from Raw Sensor Data
Georg Ludwig Lindinger, Nicolas J. Schiermeier, Dick L. Willems, Menno Tom Maris, Mona Khattab, Hanno L. Tan, Dennis Henzler, Marieke A. R. Bak, Eckhard Nagel, & Michael Lauerer Decision Support Rather Than Decision Delegation: What European Patients Expect from AI and Personalized Risk Prediction in ICD Care
Frédérick Madore, Oliver Baumann, Durgesh Nandini, Neeraj Thandayan Viswajith, Jiayu Yang, & Mirco Schönfeld Responsible AI Access to Research Repositories: An MCP Server for African Studies Data
Elahe Mahmoodpour Gilavaei, Saber Jelodari Mamaghani, & Heike Leutheuser Beyond Grounding: A Taxonomy of Failure Modes and Decoupled Evaluation in Medical RAG
Saber Jelodari Mamaghani, Michael Vieth, & Heike Leutheuser From Pixels to Prognosis: Developing Deep Learning Workflows for Barrett’s Esophagus
Carsten Miller & Alfred Wassermann JSXGraph and AI: Making Dynamic Mathematics Understandable for Intelligent Assistants
Carsten Miller Talking to a Figure: Bidirectional Natural-Language Construction in Dynamic Mathematics
Luca Mikula Kompetenzen im Bereich KI-Didaktik für (angehende) Lehrkräfte
Yannick Pensel, Julia E. Vogt, Sara Bachmann, Marie-Anne Burckhardt, & Heike Leutheuser Predicting Nocturnal Hypoglycemia in Children with Type 1 Diabetes Using Multimodal Wearable Data
Thomy Phan Multi-Agent Optimization via Streamlined Learning and Search
Mahshid Pournajar, Lukas Wölfel, Rodrigo Q. Albuquerque, Volker Eberhardt, André Lehmann, & Christopher Kuenneth AI-Driven Bayesian Optimization Platform for Accelerated Materials Discovery and Process Optimization
Ranganath Pujari, Naga Venkata Sai Jitin Jami, & Heike Leutheuser Wound Segmentation Using Graph Neural Networks
Jörg Rambau Showcase Discrete Optimization
Punith Raviswamy RECIPE: Rubber-Compound Engineering by Computational Inverse-design, Prediction and Eco-assessment
Florian Sammüller & Matthias Schmidt Multivariate hyperdensity functional theory for inhomogeneous equilibrium fluids: From first principles to simulation-based machine learning
Carsten Scholle & Thomy Phan Learning to Guide Agents to Improve Multi-Agent Path Finding
Astrid Schomäcker, Lorenz Meinen, Luca Deck, Maximilian Volland, Timo Speith, Christian Rückert, Niklas Kühl, & Lena Kästner For the Greater Good? Interdisciplinary Perspectives on Deepfakes in Criminal Law
Florian Stephan, Rodrigo Q. Albuquerque, & Holger Ruckdäschel Grid, Random, Sobol, or Active Learning? Sampling Strategies for Small-Data ML in Polymer Extrusion
Christopher Straub Scientific Machine Learning for Industrial Simulation and Optimization
Helen Vayntrub AI Language Fails: When Large Language Models Don’t Cut the Mustard
Andreas Winter, Jonas Föhr, & Claas C. Germelmann From Hype to HAIP: The Higher Artificial Intelligence Purpose as a Foundation for Responsible and Sovereign AI in Recruiting
Jonas Würdinger AI-Tutors Bavaria: Tandems of Learners and Teachers as a Design for Sovereign AI Literacy
Yorck Zisgen Privacy-Preserving Process Mining


Verantwortlich für die Redaktion: Dr. Timo Speith

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