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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Prof. Dr. M. Jarke
RWTH Aachen
Informatik 5
Ahornstr. 55
D-52056 Aachen
Tel +49/241/8021501
Fax +49/241/8022321

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Running Theses

Efficient Visualization of High Dimensional Data Sets
Data in high dimension are difficult to visualize and understand. With an increasing growth of such high dimensional data sets it is imperative to look into the current state of the art algorithms and analyze how they handle such challenges.
Integration of Redundant Feedback Data in Production
Supervised by PD Dr. Christoph Quix; Advisor(s): PD Dr. Christoph Quix, Anja Weber (WZL), Thomas Hempel (WZL)
Bachelor, Master
Developing a decentralised personalisation approach for secure peer to peer environments
Personalisation has become an expected part of smart services. However, the majority of current personalisation approaches have been designed as centralised services with one central store of user profile data.
Bachelor, Master
Evaluation of Stream Sampling Algorithms
Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez
The student will implement several stream sampling algorithms and perform experiments to compare their performance. The implementations are done on top of streaming frameworks like Spark, Apache Flink, and Storm. For a master thesis, the student will also work on the theoretical analysis of the algorithms.
Data Analysis in the Industry Inferring causal relations in Industrial Data
Supervised by Prof. Dr. Matthias Jarke, PD Dr. Christoph Quix; Advisor(s): Dr. Christoph Paulitsch, Dr.-Ing. Matthias Loskyll
A Gamification Framework for Mixed Reality Training
Supervised by PD Dr. Ralf Klamma, AOR, Dr. Andreas Herrler; Advisor(s): Dipl.-Medieninf. István Koren
In this thesis a framework will be developed which enables a gamified approach to training and learning in a mixed reality environment. The framework targets the Microsoft HoloLens and uses the Unity 3D Engine. It will support the 3D models of the Anatomy 2.0 web-application. Moreover, the framework can be customized by adding additional models in X3D-format. Furthermore, this work will explore the current gamification approaches and how they can be employed in mixed reality. Those methods and features will be elaborated in a medical use-case. It will provide a learning environment which can visualize and gamify the study of the human anatomy.