2023

Am Dienstag, dem 31. Januar 2023 fanden folgende Vorträge statt:

Name (Institut) Titel
Tom Neubert (ITI) Looking Beyond Performance: A Benchmarking Concept for Machine Learning based Forensic Detection Approaches considerin Costs [via Zoom]
Chukwuka Victor Obionwu (ITI) Towards Nurturing Programming Task Engagement, Team Collaboration skill, and Eliciting Comprehensive Student Model
Mareen Allgaier (ISG)   Virtual reality systems for surgical training using the example of neurosurgery and visceral surgery  
Steven Schmidt (IKS)   Vertrauen in soziotechnische Systeme - Entwicklung eines generischen Requirements Engineering Frameworks für digitale Services unter Berücksichtigung der Rolle der Vertrauenswürdigkeit  
Benedikt Mayer (ISG)   From Explorative to Explanative Visualization of Spatio-Temporal Conflict Data  
Daniel Staegemann (ITI)   Applying the Concept of Test Driven Development to the Big Data Domain  
Gino Gulamhussene (ISG)   Predicted 4D MRI for use in computer assisted image-guided interventions.  
Johannes Westermann (IKS)   Cost-aware Adaptive Sampling for Environmental Monitoring  
Kai Kientopf (IKS)   Neighborhood-Aware Broadcasting in Wireless Multi-Hop Network  
Ali Nikoukar (IKS)   Modeling and characterization of low-power wireless networks for applications in the Internet of Things  
Miro Schleicher (ITI)  

Modelling and prediction of compliance in healthcare  

 

Am Dienstag, dem 18. Juli 2023 fanden folgende Vorträge statt:

Name (Institut)

Titel

Thorben Krüger (IKS)

Traffic Optimization in a Path-Aware Internet

Lena Spitz (ISG)

 

Registration and analysis of neurovascular structures and related pathologies

Sarah Mittenentzwei (ISG)

Narrating Medicine: Using Visual Storytelling to Communicate Health Information to the Public

Clara Ramos Teixeira Puga (ITI)

Leveraging the Potential of Multi-layer Networks For Subgroup Discovery

Thomas Seidelmann (IKS)

Multi-objective Facility Layout Planning for Modern Manu­facturing Environments

Christopher Funk (IKS)

 

Conservative Data Reduction Methods for Decentralized Sensor Fusion

Martin Glauer (IKS)

Knowledge and Learning: Synergies between Ontologies and Machine Learning

Robert Heumüller (IKS)

Learning to Boost the Efficiency of Modern Code Review

Danny Schott (ISG)

Collaborative and Individual VR Experiences in Medical Education and Training: Approaches and Applications

Oleksii Bashkanov (ISG)

Automatic prostate diagnosis with fused MRI and clinical parameters

Erasmo Purificato (ITI)

 

Human-Centred Fairness Analysis on Graph Neural Network-Based Models for Behavioural User Profiling

 

Letzte Änderung: 26.01.2024 - Ansprechpartner: Webmaster