Marker: ABSCHLUSSARBEIT AA MASTER MA BACHELOR BA MatthiasMatousek

Zusammenfassung: To build powerful machine learning models, lots of data is required. However, obtaining the data comes with privacy risks for the people or entities that provide their data. Recently, Google published TensorFlow Federated - an open source framework to allow machine learning on decentralized data. The approach of federated learning makes machine learning in the age of mobile devices and wearables both more efficient, as well as more privacy-friendly. The goal of this thesis or project is to become familiar with the TensorFlow Federated framework, to understand and be able to explain the techniques which are implemented in it, to be able to build machine learning models in a federated way, and possibly to implement own enhancements of the framework.

Marker: ABSCHLUSSARBEIT AA BACHELOR BA PROJEKT FelixEngelmann

Zusammenfassung: The goal of this project is to extend the Monero project [1] to support an additional transaction type. The transaction itself is already implemented, but is not integrated into the cli tools and the consensus mechanism. A good knowledge of C++ is required and a basic understanding of cryptocurrencies is helpful. The evaluation of the project consists of creating a cli demo in a test setup.

Marker: ABSCHLUSSARBEIT AA MASTER MA BACHELOR BA MatthiasMatousek

Zusammenfassung: To build powerful machine learning models, lots of data is required. However, obtaining the data comes with privacy risks for the people or entities that provide their data. Recently, Google published TensorFlow Federated - an open source framework to allow machine learning on decentralized data. The approach of federated learning makes machine learning in the age of mobile devices and wearables both more efficient, as well as more privacy-friendly. The goal of this thesis or project is to become familiar with the TensorFlow Federated framework, to understand and be able to explain the techniques which are implemented in it, to be able to build machine learning models in a federated way, and possibly to implement own enhancements of the framework.

Marker: ABSCHLUSSARBEIT AA BACHELOR BA PROJEKT FelixEngelmann

Zusammenfassung: The goal of this project is to extend the Monero project [1] to support an additional transaction type. The transaction itself is already implemented, but is not integrated into the cli tools and the consensus mechanism. A good knowledge of C++ is required and a basic understanding of cryptocurrencies is helpful. The evaluation of the project consists of creating a cli demo in a test setup.

Marker: AA, MA, PROJEKT, BenjaminErb, FrankKargl, sidgraph, distributed, DominikMeissner

Zusammenfassung: The chronograph platform is a system for computing on evolving graphs. One module of the platform should provide an interactive user interface for exploring the history, evolution, and topology of the graph. The goal of this project is the design and implementation of a scalable, web-based user interface for the exploration of chronograph data.

Marker: MA, DA, AA, FrankKargl, privacy, mobile

Zusammenfassung: Joint project between University of Ulm, Germany and NICTA Sydney, Australia. Differential Privacy is a rather new concept that enables practically feasible privacy controls and formal guarantees to be implemented. In a recent publication, we have started to look how Differential Privacy can be used in the context of Intelligent Transportation Systems and Car-to-X communication and have identified a couple of open challenges. We have outlined how differential privacy can be integrated into the PRECIOSA Privacy-enforcing Runtime Architecture and identified a number of future research questions one being how to manage the appearing trade-off between data accuracy, privacy, and availability of data. The master thesis requires to work into the fields of Differential Privacy, Intelligent Transportation Systems, and the PRECIOSA project results based on available literature and material followed by conceptual work that should extend our existing proposal. A proof-of-concept implementation should then allow some practical analysis of the feasibility and achievable data accuracy based on Floating Car Data captured in real experiments. There is the option to work on the thesis during an internship at the NICTA in Sydney, Australia. Because of the need to apply for travel funding, this would require a longer-term planing before starting the work.

Marker: ABSCHLUSSARBEIT, THESIS, Master, AA, MA, MuntazirMehdi, mobile, misc

Zusammenfassung: Neurofeedback provides the necessary means to visualize selected and controlled parameters of the brain activity. In healthcare domain, neurofeedback studies enable mitigation of many psychological disorders and illnesses, mainly by therapies that help patients to better self-regulate their brain activity. Electroencephalography (EEG) is the method of monitoring the electrical activity of the brain, thus providing the necessary feedback. In this thesis work, the student is required to survey the current state of frameworks, techniques, or methods that enable coupling of Mobile EEGs with Smartphones. Bluetooth 2.1 with Enhanced Data Rate (EDR) capability is one of the most effective mean of coupling EEGs with Smartphones. The student would therefore be required to work on the Bluetooth stack to acquire real-time data generated from the Mobile EEGs, parse the electrical signal, and visualize the signal semantically. For successful completion of the thesis, the student would be required to identify and address any one of the open challenges faced by the proposed topic. An example of this can be addressing the bandwidth challenges, battery consumption, or signal accuracy

Marker: AA, MA, PROJEKT, BenjaminErb, FrankKargl, sidgraph, distributed, DominikMeissner

Zusammenfassung: The chronograph platform is a system for computing on evolving graphs. One module of the platform should provide an interactive user interface for exploring the history, evolution, and topology of the graph. The goal of this project is the design and implementation of a scalable, web-based user interface for the exploration of chronograph data.

Marker: MA, DA, AA, FrankKargl, privacy, mobile

Zusammenfassung: Joint project between University of Ulm, Germany and NICTA Sydney, Australia. Differential Privacy is a rather new concept that enables practically feasible privacy controls and formal guarantees to be implemented. In a recent publication, we have started to look how Differential Privacy can be used in the context of Intelligent Transportation Systems and Car-to-X communication and have identified a couple of open challenges. We have outlined how differential privacy can be integrated into the PRECIOSA Privacy-enforcing Runtime Architecture and identified a number of future research questions one being how to manage the appearing trade-off between data accuracy, privacy, and availability of data. The master thesis requires to work into the fields of Differential Privacy, Intelligent Transportation Systems, and the PRECIOSA project results based on available literature and material followed by conceptual work that should extend our existing proposal. A proof-of-concept implementation should then allow some practical analysis of the feasibility and achievable data accuracy based on Floating Car Data captured in real experiments. There is the option to work on the thesis during an internship at the NICTA in Sydney, Australia. Because of the need to apply for travel funding, this would require a longer-term planing before starting the work.

Marker: ABSCHLUSSARBEIT, THESIS, Master, AA, MA, MuntazirMehdi, mobile, misc

Zusammenfassung: Neurofeedback provides the necessary means to visualize selected and controlled parameters of the brain activity. In healthcare domain, neurofeedback studies enable mitigation of many psychological disorders and illnesses, mainly by therapies that help patients to better self-regulate their brain activity. Electroencephalography (EEG) is the method of monitoring the electrical activity of the brain, thus providing the necessary feedback. In this thesis work, the student is required to survey the current state of frameworks, techniques, or methods that enable coupling of Mobile EEGs with Smartphones. Bluetooth 2.1 with Enhanced Data Rate (EDR) capability is one of the most effective mean of coupling EEGs with Smartphones. The student would therefore be required to work on the Bluetooth stack to acquire real-time data generated from the Mobile EEGs, parse the electrical signal, and visualize the signal semantically. For successful completion of the thesis, the student would be required to identify and address any one of the open challenges faced by the proposed topic. An example of this can be addressing the bandwidth challenges, battery consumption, or signal accuracy