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Theses Subject Areas

The Service-centric Networking group offers bachelor and master theses in five different subject areas:

  • Blockchain Technology
  • Cloud Computing
  • Data Science
  • Ubiquitous Computing
  • Social Computing

Please note!

If you are interested in a subject area, please contact our team assistants Andrea Hahn or Sandra Wild (info@snet.tu-berlin.de) and attach your CV, an grades overview and include some basic background information such as your degree program, main areas of study, and most importantly: two or three sentences about what general topic/ direction you would be interested. Our team assistants will put you in touch with matching SNET group members (topic coordinators) which you can then meet in order to discuss open topics in detail.

Blockchain Technology

The blossom of Blockchains and Distributed Ledger Technoligies (DLT) in general have generated novel opportunities in various technological and economic fields. New paradigms emerge from their unique characteristics such as distributed consensus, byzantine fault tolerance and immutability. Hereby, DLTs facilitate eliminating trusted intermediaries by distributing trust among participants. As a result, not only digital (crypto-) currencies have emerged, but more complex use cases such as identity, asset and supply chain management have gained attention. SNET is working on these cutting edge topics from a technologic and service perspective. It includes applications on public as well as permissioned ledgers, analysis of DLT structures and distributions in token networks. Furthermore, research focuses on enhanced protocols and mechanisms in applications and DLTs alike.

Students will develop blockchain applications or analyze and compare various DLT solutions from a scientific perspective. Application domains range from social networks, automotive, supply chain management and identity to analysis and forecasting of data. Knowledge in programming languages such as Java, JavaScript, C++, Go or Rust and appropriate tools like Docker and Git are desirable.

Cloud Computing

The Cloud Computing paradigm is rapidly transforming the development, deployment, and management of Information Systems on a basic level. Cloud technologies, such as virtualization, application containers, multi-cloud federation and the Intercloud are enabling elasticity, cost-efficiency and scalability. SNET is conducting applied research oriented towards the needs of business, academic, and private cloud consumers. Some of our research areas include: the description and brokering of cloud services using simple domain-specific languages, cloud brokering and matchmaking using constraint modelling, secure federated multi-cloud access management using standards such as SAML and XACML, attribute-based encryption technologies for personal data sharing, as well as cloud location information and metadata structures. 

Students will most likely work with and extend the Open Source software developed at our chair which we publish in our Github repository,  https://github.com/TU-Berlin-<wbr>SNET. Students should be proficient with the tools used in the software they work with, such as Java, C++, PHP, Ruby, JavaScript, Docker, Git, to name a few.

Data Science

Data in today’s business landscape are created and stored at exponentially large scales. Therefore, the need to improve business operations through data-driven decisions has emerged as an important objective for many growing companies. The field of data science addresses those needs by combining computer science, engineering, mathematics, statistics, and predictive modeling to generate analytical insights about data from a variety of sources. Data often require a great amount of cleaning and pre-processing; so many research topics are also directed toward identifying different solutions for parallelized and distributed computing and data storage: from the big players in this market like Apache Hadoop and Spark through to CUDA. The field of data science interfaces with a variety of other disciplines, and by utilizing new computational technologies together with statistics and predictive modeling we strive to provide unique analytical insights from data at large scales.

Data Science research projects at SNET currently investigate data from the automotive, energy, and mobile communications domains. As such, we are often involved with the processing and analysis of geospatial data with both structured and unstructured formats. Our goal is to discover the statistical relationships buried deep within data, and to use that knowledge as the framework for prototype development.

Ubiquitous Computing

The field of Ubiquitous Computing covers all aspects from mobile applications via backend-supported services through to the analysis and datafication of mobile data. Thereby context- and location-awareness are key enablers for many application scenarios such as, for example, location-based services, geofencing, location-dependent messaging or mobile process automation. Ubiquitous Computing is generally highly dependent on the underlying wireless communication technologies such as 5G networks, WLAN, Bluetooth, NFC etc., and many research questions deal with optimizations of protocols and algorithms that are applied over such wireless communication networks.

Our theses topics for Ubiquitous Computing at SNET are typically application-oriented and related to issues that somewhere involve the development of prototypical mobile applications or mobile cloud applications, or which involve big data calculations on data that originated from mobile devices. Hence certain proficiency with mobile software development can be helpful, but is not a prerequisite.

Social Computing

Online Social Networks (OSNs) have become an important part of our everyday online lives. We communicate, share content, and organize meetings and events using OSN platforms. However, even though there is a strong trend towards OSN services to become the main communication medium, most OSN platforms are still proprietary, closed services that keep users from connecting directly and seamlessly to the services of other OSN platforms. SNET is working on novel architectures and mechanisms to mitigate the lock-in effects of today’s OSN platforms and build new and innovative services. Research in this area addresses topics such as privacy and security, protocol design, distributed system architectures, and mobile services.



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TU Berlin - Service-centric Networking - TEL 19
Ernst-Reuter-Platz 7
10587 Berlin, Germany
Phone: +49 30 8353 58811
Fax: +49 30 8353 58409