09:00-09:15
FH-Prof. Priv.-Doz. DI Mag. Dr. Dominik Engel
Univ.-Prof. Dipl.-Math. Dr. Arne Bathke
Univ.-Prof. Dipl.-Math. Dr. Arne Bathke
09:15-10:00
Viola Gallina, Fraunhofer Austria
Standardization of Digital Product Passport Systems in Europe and Beyond
10:00-10:45
Simon Hirländer, University of Salzburg – IDA Lab
From Theory to Practice: Reinforcement Learning as the 21st-Century ML Paradigm
10:45-11:00
Break
11:00-12:30
Research & Science
Session Chair
Towards Connected Digital Product Carbon Footprint Passports
Hörger, Eberhardt, Hermann, Benfer, Lanza, Gleich
Embedding the MLOps Lifecycle into OT Reference Models
Schindler, Huber
Achieving Technical Interoperability for Privacy-Enhancing Technologies in Data Spaces
Datema, Langenkamp, Kollenstart, Stoter, Witlox, Cornelisse
Applications & Use Cases
Host
Machine Learning Assisted Optimization of 5G Network Parametrization
Krah, Greul, Farthofer-Oster
AI4SimProd – AI-Assisted Simulation and Digital Twining for Efficient Industrial Production
Casas, Vanerio, Bernado, Vignoli, Wachsenegger
Predictive Maintenance for Wind Turbines: Leveraging Sensor Data with Traditional and Novel Machine Learning Techniques
Vanerio, Casas, Weißenfeld
12:30-13:30
Lunch
13:30-15:00
Research & Science
Session Chair
One-Class Domain Adaptation via Meta-Learning
Holly, Eder, Bierweiler, von Dosky, Frikha, Heitzinger
Optimal Sizing and Operation of a Battery Energy Storage System for Demand Response in a Food Processing Plant using Deep Learning for Load Forecasting
Wohlgenannt, Moosbrugger, Hegenbart, Huber, Kolhe, Kepplinger
Using Reinforcement Learning to Optimize Frequency Control of Autonomous Parking Garages
Schütz, Vereno, Maldonato, Bader, Neureiter
Applications & Use Cases
Host
Optimizing Production Planning with Mathematical Optimization: A Comprehensive Approach for a full Digitized Product Planning
Pfeiffenberger, Amer Sports
The Self-Driving Company: An Overview of the Model
Schachinger und Schnitzhofer, reqPOOL
Deriving Movement Patterns and Customer Behaviour using Data Loggers in Hydraulic Systems and setting up a Digital Twin
Harucksteiner, Palfinger
15:00-15:30
Coffee Break
15:30-16:15
Stefan Zeppetzauer, KPIT Technologies GmbH
Data-Driven Revolution in Software Defined Vehicles: From Insights to Decision-Making
16:15-17:00
Research & Science
Session Chair
Do we need Complex Deep Learning Models for Inferring Body Weight from CT Scans? Initial Insights from an Exploratory Study
Löwenstein, Gadermayr, Hehenwarter, Hinterberger, Schönberg, Hofmann
Influence of Body Composition on the Validity and Reliability of a Wearable Stride and Respiration Sensor
Hensler, Bernhart, Harbour, Schwameder
Applications & Use Cases
Host
CEFoodCycle: AI-Driven Innovations for Closing Food Cycles and Enhancing Sustainability
Kaltner-Pomwenger, Portenkirchner
AI based Health Monitoring System for Cows
Walchhofer & Kemptner, cognify
19:00
Casino Salzburg / Schloss Klessheim
Cluster Legend
- Cluster 1 Industrial AI & Smart Infrastructure
- Cluster 2 Sustainable Tech, MLOps & Interoperability
- Cluster 3 Medical AI & Wearable Sensors
- Cluster 4 Topological & Temporal Pattern Recognition
- Cluster 5 NLP, Time Series Imputation & Reproducibility
09:00-9:45
Hilda Kosorus, Onefold.ai
Agentic AI: Unleashing the Next Wave of Transformation
09:45-10:30
Carina Seidel, Runtastic GmbH
Best Practises in Advanced Analytics / Real Life Examples and Use Cases of Data Science Models
10:30-10:45
Break
10:45-12:15
Research & Science
Session Chair
Topology-driven Identification of Repetitions in Multivariate Time Series
Schindler, Huber
Persistence-based Hough Transform for Line Detection
Ferner, Messineo, Pop, Uray, Huber
Stiemer’s Train Itineraries Enable Mobility Evaluating Research
Vangeneugden, Luong, Mercelis
Applications & Use Cases
Host
Enhancing Contract Wordings Analysis with Generative AI: A Timeline of Efficiency and Accuracy
Singh, Tsarouchas
Demand Prediction of Time Series Data with NeuralProphet
Bär, Mák
Interactive Data Quality Enhancement for Multivariate Time Series Tree Growth Modeling Using AI and Explainable Insights
Wachsenegger, Zolles, Landivar, Lampert, Duro
12:15-13:15
Lunch
13:15-14:00
Ruben Hetfleisch, Fraunhofer Austria / AI Austria / Klartext AI
State of Generative AI – Where are we and where do we want to go?
14:00-14:15
Break
14:15-15:45
Research & Science
Session Chair
Evaluating the Effectiveness of Large Language Models in Prompt-based Time Series Imputation
Doht, Havas
Context-Aware Content Moderation for German Newspaper Comments
Kietreiber, Neumaier, Krejca
GPU-Jupyter: A Framework for Reproducible Deep Learning Research
Schranz, Beeking, Pilosov
Workshop
Real-Time Stream Processing for IoT
Schiffner
Workshop
Data in Production – Chances and Opportunities for the Ecological and Digital Change
Steinwender, Gallina, Lampoltshammer
15:45-16:15
Coffee Break
16:00-17:30
Workshop
AI-Driven Analytics: Hands-on Working with Your LLM Agent Team
Walchhofer, Ziegler
Workshop
From Research Repos to Real-World Results: Deepfake Video Detectors in Practice
Hasenbalg, Poletti, Fischinger, Boyer, Pham
Workshop
How can Data Science and AI drive the sustainable transformation?
Lampert, Graser, Schallauer, Pargfrieder, Bügelmayer-Blaschek, Schicker
17:30:00
Closing
Cluster Legend
- Cluster 1 Industrial AI & Smart Infrastructure
- Cluster 2 Sustainable Tech, MLOps & Interoperability
- Cluster 3 Medical AI & Wearable Sensors
- Cluster 4 Topological & Temporal Pattern Recognition
- Cluster 5 NLP, Time Series Imputation & Reproducibility
09:00
Discover Salzkammergut
Join us for a guided cultural tour and networking experience in the picturesque Salzkammergut region.
3rd Data Science Doctoral Retreat
Research presentations and peer feedback at Schloss Urstein, FH Salzburg.