Event Moderation:
Athina Lykos / AIT Austrian Institute of Technology
Opening Session
Welcome and Introduction iDSC 2021
Helmut Leopold / Head of Center for Digital Safety & Security, AIT Austrian Institute of Technology
Peter Haber / Salzburg University of Applied Sciences
Opening Keynote:
Value Generation through Artificial Intelligence and Big Data
Cornelia Schaurecker / Big Data & AI Director, Vodafone Group
Predictive Maintenance and Hyperparameter Optimization in the Industrial Setting
Chair: Sebastian Hegenbart / University of Applied Sciences Vorarlberg
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
Stephanie Holly / Technical University of Vienna
Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence
Jana Kemnitz / Siemens AG Austria
Data-driven Cut-off Frequency Optimization for Biomechanical Sensor Data Pre-Processing
Severin Bernhart / Salzburg Research
Keynote:
Enabling the Circular Economy using Smart Data
Mario Drobics / Head of Competence Unit Cooperative Digital Technologies, AIT Austrian Institute of Technology
Scalability of Business Models, Infrastructure and Software in Industrial Settings
Chair: Karl-Heinz Weidmann / University of Applied Sciences Vorarlberg
Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure
Martin Uray / Salzburg University of Applied Sciences
Scaling Artificial Intelligence in Industrial Applications
Florian Niszl / Siemens AG Austria
Generation of Data-Driven Business Models for Hydraulic Lifting Solutions
Christoph Gugg / PALFINGER AG
Keynote:
The Data Mesh
Mario Meir-Huber / Head of Data, UNIQA Insurance Group AG
Deep Learning based Anomaly Detection and Scene Classification
Chair: Michael Gadermayr / Salzburg University of Applied Sciences
A Low-Compexity Deep Learning Framework For Acoustic Scene Classification
Lam Pham / AIT Austrian Institute of Technology
Anomaly Detection in Medical Imaging - a mini Review
Maximilian Ernst Tschuchnig / Salzburg University of Applied Sciences
Deep Learning Frameworks Applied For Audio-Visual Scene Classification
Alexander Schindler / AIT Austrian Institute of Technology
Hybrid Method for Targeted Conversations in Online Classified Marketplace
Yasamin Rahimi / University of Tehran, Hesam Haddad / Divar Company
Minimal-Configuration Anomaly Detection for IIoT Sensors
Clemens Heistracher / AIT Austrian Institute of Technology