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Research Center for AI in Science & Society

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Poster

NameTitle
Venkata Sai Subhash GantiReActOr-AI: Artificial intelligence assisted modelling of redox-active organic materials for batteries
Christopher StraubPhysics-informed neural networks for silicidation simulations
Bastian ScharnaglTryOn@Home
Florian SammüllerNeural functionals in statistical mechanics
Niklas GutheilA Four-Phase Framework for the Systematic Implementation of Artificial Intelligence in Organizations
Paul DölleKI in der Hochschullehre: E-Tutor:innen als Innovationskatalysatoren
Paul DölleKI-gestützte Avatare zur Simulation mündlicher Prüfungssituationen
Yorck ZisgenPrivacy in Process Mining
Christian ImenkampTinyHouse: A Laboratory for Distributed AI and Process Mining
Tobias RosnitschekData Driven Methods in Engineering Design
Lena Patricia NieperFrom Living Labs to Live-in-Labs
Francesco CiucciMulti-agent-network-based idea generator for zinc-ion battery electrolyte discovery
Volkan Timur ÖztürkPolarization and Religion: Evidence from Germany, 1919-1970
Rodrigo CoelhoReinforcement Learning in Power Eletronics: Power Converter Optimization and Power Module Placement
Moritz DierEducational Digital Support Agents (DSA-E) for Teaching-Learning Support in Vocational Education
Peter KoltaiCollective variables in complex systems: molecular dynamics, spreading processes on networks, and fluid dynamics
Niklas KühlHuman-Centric AI
Jan BodenschlägelMotor Neurons Activations in Forearm Muscles: Force-Dependent Patterns During Individual Finger Movements
Daniel BuschekHuman-AI Interaction in Writing Tools
Cluster Africa Multiple - Digital Research EnvironmentReconfiguring African Studies Through Research Data Management: The Role of Fluid Ontologies and AI
Durgesh Nandini, Simon Blöthner, Mario Larch, Mirco SchönfeldMultidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
Cathérine ConradtyDiscovery Space - A Technology-Enhanced Classroom for Deeper Learning in STEM
Aditi JainDeep Neural Networks for Modeling and Analyzing Gene Translation Process
Oliver Baumann, Mirco SchönfeldSurprising Recommendations: A Knowledge-Graph-Based Recommender System Relying on Complex Network Metrics
Samy AteiaScientific Text Extraction with Large Language Models for Domain-Specific Indexing, Summarization, and Question Answering
Michelle ClarkeBeyond the Algorithm: building bridges between data driven sciences and the humanities
Rodrigo AlbuquerqueAI-Driven Innovations in Polymer Engineering: Bayesian Optimization and Property Prediction
Sruthi SunderMachine learning for fire safety in railway applications: maximising the processability and transferability of flame-retardant mechanisms from resins to composites
Leopold MüllerUnlocking the Power of Large Language Models for Dynamic Knowledge Flow in Real-World Applications
Anja HagerDidaktisch begleitete Technologieintegration in der Lehre
Astrid SchomäckerMapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
AIEKSO Research GroupAI-driven Structuring and Operationalization of Enterprise Knowledge
Andreas KarasenkoBeyond Sentiment Analysis: Comparing Models to Predict Technology Acceptance from Online Customer Reviews
Phil GarthenApplying Active Learning for Efficient Wildlife Monitoring in the Veldensteiner Forest
Markus Bieswanger, Johannes TrüdingerAI-based automatic speech recognition for advancing Aviation English research
Naga Venkata Sai Jitin JamiTissue Segmentation in Chronic Wounds: Bridging Data Gaps with Advanced Models
Dominik Kamp, Sascha Kurz, Jörg Rambau, Ronan RichterDiscrete Optimization
Dominik Kamp, Jörg Rambau, Ronan RichterCurrent research perspectives in discrete optimization
Renato MioDevice and methods for finger movements neural drive decoding: Advancing motor neuron-based interfaces
Katharina McGrathSocial and Self-directed Learning: Design Principles for Preparatory Courses for Non-consecutive Masters degrees
Claudius BudckeOptimizing Personalization in Advertising Imagery:
 A GenAI-Driven Framework for Automated Hyper-Targeted Content Creation
Sebastian WindBridging the Gap: Expanding LLMs for German Tax Expertise Without Losing Generalization


Verantwortlich für die Redaktion: Prof. Dr. Johannes Margraf

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