2021
Am Montag, dem 15. Februar 2021 fanden folgende Vorträge statt:
| Name (Institut) | Titel |
| Wei, Wei(ISG) | Deep learning based 2D ultrasound to 3D CT/MR registration |
| Scheel, Christian (ITI) | Qualität von implizitem Präferenzfeedback und ihr Effekt auf gelernte Präferenzmodelle |
| Javadi, Mahrokh (IKS) |
Multi-Objective Evolutionary Algorithms for Multimodal Multi-Objective Problems |
| Vogel, Christian (ISG) |
Aktives 2D-Sensorprinzip und Methode zur dynamischen Generierung und funktional-sicheren Überwachung von Schutzräumen bei der Mensch- Roboter Kooperation |
| Volk, Matthias (ITI) |
Decision Support for the Technology Selection in Big Data Projects – A Start-to-End Approach |
| Engelhardt, Frank (IKS) |
Wireless Multi-Hop Networks in the Tactile Internet – How do they Support Haptic Communication? |
Am Dienstag, dem 16. Februar 2021 fanden folgende Vorträge statt:
|
Name (Institut) |
Titel |
| Shakeel, Yusra (ITI) |
Towards (Semi-)Automatic Literature Analysis for Software Engineering Researchers |
| Engler, Alexander (ITI) |
Entwicklung einer Auswertungspipeline zur explorativen Analyse von proteomischen Daten |
| Wu, Zheng (ITI) |
Spacetime in the Brain: rapid brain network reorganization in visual processing and recovery |
| Xu, Jiahua (ITI) |
Non-invasive brain microcurrent stimulation and AI prediction of vision recovery in stroke rehabilitation |
| Nadobny, Konrad (IKS) |
Digitalisierung mit APIs - Möglichkeiten zur massenhaften API-fizierung von Altanwendungen |
| Meyer, Anneke (ISG) |
Exploiting Supplementary Data for CNN-based Segmentation of Prostate Structures in MRI |
| Weise, Jens (IKS) | Evolutionary Many-Objective Optimisation for Pathfinding Problems |
Am Montag, dem 12. Juli 2021 fanden folgende Vorträge statt:
|
Name (Institut) |
Titel |
| Duwe, Kira (ITI) |
Coupling Storages Systems for Efficient Management of Self-Describing Data Formats |
| Wolligandt, Steve (ISG) |
Visualization of Unsteady Flows and In Situ Flow Map Sampling of Divergence-Free Flows |
| Krug, Andreas (IKS) |
Cognitive Neuroscience Inspired Analysis and Visualization of Deep Neural Science |
| Ofner, Andrè (ITI) |
Linking canonical predictive computations in brains and machines with deep generative models |
| Beyer, Christian (ITI) |
Entity-Centric Data Mining Methods for Static, Time Series and Streaming of Health-Related Data |
Am Dienstag, dem 13. Juli 2021 fanden folgende Vorträge statt:
|
Name (Institut) |
Titel |
| Nahhas, Abdulrahman (ITI) |
An adaptive scheduling framework for solving multi-objective scheduling problems in the context of manufacturing and cloud computing enviroments |
| Görs, Jana (ISG) |
Digitally Facilitated Acceptability Analysis for Group Decisions |
| Chheang, Vuthea (ISG) |
Collaborative Virtual Reality for Laparoscopic Liver Surgery Training and Planning |
| Luxem, Kevin (IKS) |
Identification of behavioural structure in mice using deep variatonal embeddings |
| Chatterjee, Soumick (ITI) |
Dealing with Artefacts in MRI with Deep |
| Gurumurthy, Bala (ITI) |
Cross-Device Data Management in Analytical Query Processing |
| Krieter, Sebastian (ITI) |
Enabling Efficient Automated Configuration Generation and Management for Software |
| Ernst, Philipp (ITI) |
Incorporating Prior Knowledge into Deep Learning for Interventional C-arm CT |