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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
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Running Theses


Master
Locality-sensitive Hashing using not-so-random Hash Functions
Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez
Locality-sensitive hashing is used to speed up near-neighbor search in high dimensional space. When the distance of interest is cosine distance, Random hyperplane hashing (RHH) is used. This technique is based on randomly selecting hyperplanes. However, in some cases (when we have more information about the dataset) it seems reasonable to not choose the hyperplanes completely randomly. Further, if normal RRH is performed with a low number of hyperplanes, then the hyperplanes are likely to not cover the space very well. This thesis will be about choosing the hyperplane in a data dependent way and try to sample the hyperplanes such that they cover the space nicely (including a comparison with angular quantization).
Bachelor, Master
Social Recommender Systems for Professional Communities
Supervised by PD Dr. Ralf Klamma, AOR
This thesis aims to develop social recommender system service for Open Source Software (OSS) Communities.
Master
Continuous Learning for Indoor Localization based on Wi-Fi-Fingerprinting in Dynamic Environments
Supervised by PD Dr. Ralf Klamma, AOR, Jörg Blankenbach
In this thesis it shall be investigated how to apply deep learning to Wi-Fi finger- printing by continuously improving the models. Therefore, the stated challenges of dynamic environments and few labeled data, will be tackled.
Bachelor, Master
Guided Search Algorithm for the Mobility-Oriented Agenda Planning Problem
The need of mobility arises from activities such as a meeting or a doctor's appointment. Often, when planning these kinds of activities the mobility to these locations is only planned after the activity is already scheduled, which may be a sub-optimal approach. While planning it is hard to comprehend which consequences a particular action, such as moving the location or time of an activity, has on the agenda and mobility schedule. The objective of this thesis is the analysis, design, implementation and evaluation of a mobility agenda planning assistance system in form of a graphical user interface which interweaves the mobility and agenda planning processes.
Master
Decentralized Service Registry and Discovery in P2P Networks with Blockchain Technology
The goal of this thesis is the development of a distributed service registry and discovery system for las2peer. Conceptually, it should be built on the aforementioned previous results, namely the service discovery system, the application store and the community success measurement system. Technically, a blockchain-based solution should be developed that both allows and enforces developers to add their services to a community-blockchain, which can be used for authenticating service-origin as well as for inspection of available services throughout the network, including a connection to their success measurement.
Master
Patterns for Integrating Rule Based and Process Based Model Components of Computerized Clinical Guidelines
Supervised by Prof. Dr. Stefan Decker, Dr. rer. nat. Cord Spreckelsen; Advisor(s): 692050c6199c8bbfb9be2189e82ff904
Bachelor
Development of a Reference Model for Mobile User Interfaces for Bike Sharing Systems
- Use case analysis - UI paper prototyping - Mobile user interface design - Reference model design - Mobile application prototype implementation and generalization - Reference model evaluation
Bachelor, Master
Accelerating Graph Embedding using GPUs and Distributed Computing
Lately several methods for embedding graphs nodes into a vector space have been proposed. These embeddings can then used to train other machine learning models. Learning these embeddings is typically done using CPUs. In this thesis the student would look into the use of other hardware, like GPUs and distributed computation options to speed up the learning process. The challenge is that algorithms working on graphs have typically a bad memory locality. Hence, existing algorithms might need profound modification in order to use them on GPUs or in a distributed fashion.
Master
Context based Travel Information Service
Travel information services provide itinerary based user travel assistance. The objective of the thesis is the user context analysis for multimodal travel situations, the design of a mobile device based context detection service and an information rendering service for user travel assistance. As proof of concept a functional prototype should be implemented and evaluated.
Bachelor
Chat Interfaces for Social Bots in a Peer-to-Peer Environment
Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. This thesis will utilize and evaluate a social bot framework with different community applications. It will also extend the framework to support two-way chat interfaces with the system via common chat applications (e.g. Slack).
Master
Smart Quality Check for FHIR Resources System
Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Oya Deniz Beyan
Fast Healthcare Interoperability Resources defines a set of "Resources" that represent granular clinical concepts. It is a standard for exchanging healthcare information electronically between stakeholders of the healthcare environment including care providers, patients, and mobile application developers. Aim of this thesis is to develop tools to validate conformance of the resources against a set of business rules.
Master
Analysis of Breast Cancer Genomic Data with Multimodal Deep Belief Network
The objective of this thesis is to analyse breast cancer genomic data with the potential of predicting breast cancer genomic biomarker. Specifically, these analysis will include classification and regression of breast cancer patients based on their genetic information.
Master
Identifying Media-Specific and Time-Dependent Patterns in Community Success Models
Assuming that best practices for organizing work and learning emerge from the visual analytics and comparison of real communities, the goal of this thesis is to analyze media transcription processes from real communities using data mining and machine learning.
Master
Using Deep Neural Networks and Copy Number Variations for Cancer Detection
Recently copy number variations got lot of attention due to their association with complex diseases like cancer. Finding their association with cancer is an active research eld. We propose a method to identify copy number variations which might be associated with a cancer by comparing copy numbers across 14 major cancer types. Selected CNV regions were used as features for cancer detection using deep belief networks, a deep learning technique. To our knowledge this is the rst study involving that many cancers and highest number of control samples for validation.
Master
Gamification of Serious Games with Recommendation Support
The goal of this master thesis is to unify both frameworks, that means, the serious game framework should be rebuilt with the help of the gamification framework.
Bachelor, Master
Distributed Activity Coordination with Constraints
In cooperative user environments the distributed coordination of activities with hard and soft constraints is a challenging task. The objective of the thesis is the development of an heuristic for distributed coordination of activities with hard and soft constraints starting with a literature research, algorithm design and simulative evaluation.
Bachelor
Machine Vision im Umfeld der Mensch-Roboter-Kollaboration auf Basis der Microsoft Kinect
Supervised by PD Dr. Ralf Klamma, AOR, Thomas Gries; Advisor(s): Marius Wiche, Florian Brillowski, Dipl.-Medieninf. István Koren
Das Ziel der Bachelorarbeit ist es, die Erkennung von Menschen im Nahfeld Roboter in einem industriellen Umfeld zu realisieren. Hierbei wird eine kostengünstige und weit verbreitete 3D-Kamera mit einer offenen Schnittstelle verwendet, die Microsoft Kinect V2. Sie stellt die nötigen Tiefeninformationen in Form einer Punktwolke zur Verfügung. Ein KUKA Greifarmroboter am ITA-Preformcenter wird dabei während der Entwicklung verwendet. Die Kommunikation zwischen der Kinect und der Bilderfassung soll dabei über MQTT, einem zeitgemäßen IoT Protokoll in industriellen Umgebungen, erfolgen. Durch eine umfassende Evaluation wird ausgewertet, wie zuverlässig die Erkennung funktioniert.
Master
Extending the b-it Chain to execute smart contracts
Supervised by Prof. Dr. Thomas Rose; Advisor(s): Thomas Osterland
Often only noticed as a technology that enables the digital currency Bitcoin, blockchain is a novel protocol that allows the distributed and secure storing of information and untempered execution of program code in trust-less environments. Did you ever feel the intense desire to write a thesis about blockchain or do you have a slight hope that blockchain is the one-and-only topic that touches your heart? Use your chance now! We are looking forward to hear from you.
Bachelor
A Multimodal Mentoring Cockpit for Tutor Support
Learning analytics aim at providing an insight into the student’s learning process such that individual performance can be measured and thus provide the basis for individual student support. This thesis will utilize and evaluate existing mentoring solutions and aggregate them in a state-of-the-art progressive Web application. The outcome of this thesis will be a newly developed mentoring cockpit that meets the requirements of a holistic mentoring support experience.