Interdisciplinary Data Science Conference
Interdisciplinary Data Science Conference

Day 1 – Wednesday, October 20th

Conference Program

9:15Opening SessionWelcome 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
9:30
KeynoteValue 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
10:00Research Track

Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
Stephanie Holly / Technical University of Vienna

10:30Research Track

Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence
Jana Kemnitz / Siemens AG Austria

11:00Research Track

Data-driven Cut-off Frequency Optimization for Biomechanical Sensor Data Pre-Processing
Severin Bernhart / Salzburg Research

11:30  Break
11:40Keynote

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
12:20Industry Track

Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure
Martin Uray / Salzburg University of Applied Sciences

12:50Industry Track

Scaling Artificial Intelligence in Industrial Applications
Florian Niszl / Siemens AG Austria

13:20Industry Track

Generation of Data-Driven Business Models for Hydraulic Lifting Solutions
Christoph Gugg / PALFINGER AG

13:50Keynote

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
14:30Research Track

A Low-Compexity Deep Learning Framework For Acoustic Scene Classification
Lam Pham / AIT Austrian Institute of Technology

15:00Research Track

Anomaly Detection in Medical Imaging - a mini Review
Maximilian Ernst Tschuchnig / Salzburg University of Applied Sciences

15:30Research Track

Deep Learning Frameworks Applied For Audio-Visual Scene Classification
Alexander Schindler / AIT Austrian Institute of Technology

16:00Industry Track

Hybrid Method for Targeted Conversations in Online Classified Marketplace
Yasamin Rahimi / University of Tehran
Hesam Haddad  / Divar Company

16:30Industry Track

Minimal-Configuration Anomaly Detection for IIoT Sensors
Clemens Heistracher / AIT Austrian Institute of Technology

17:00