Open Topics
Please note
The topic selection procedure for 2026S has concluded. We wish you much success with your topics!
Our Open Topics: An Overview
The following contains a list of all currently offered topics for theses (Bachelor's and Master's) and practical courses in our areas of research. In order to be assigned a topic, please ensure you follow the instructions.
If you are a Bachelor's student wanting to write your thesis with us, please refer to the recommendations and guidelines for Bachelor's theses before reaching out.
Master's students may find additional guidance and recommendations here.
In general, topics in the area of Multimedia Information Systems technologies include…
- the analysis, management, creation and composition, semantic enrichment, and playback of multimedia content,
- semantically smart multimedia systems, and
- security.
Possible application domains include…
- the detection of inconsistent information of (structured) data on the Web (see: the FactCheck project)
- content authoring and management systems
- multimedia web content management
- robotics and IoT applications
- blockchain technologies and applications
- interactive display systems
- game-based learning and serious games
- service-oriented architectures (SOA) and cloud-based services
Section A (below) lists topics that may be chosen for a practical course (SPBA, P1, or P2), but are in principle also available for a Master's thesis (usually in a more expanded and advanced form).
Section B lists topics that are intended to be chosen for a Master's thesis.
If you would like to propose your own topic idea(s), please do not hesitate to reach out to relevant members of our research team directly.
Section A - Topics for Practical Courses (SPBA, P1, P2)
- All
- Area: (Multimedia) Content Authoring and Management
- Area: AI and Machine Learning
- Area: Blockchain
- Area: FactCheck
- Area: Game Design and Development
- Area: Robotics and IoT
- Area: Security and Privacy
- Area: Web Architectures and Services
- Supervisor: Aichinger
- Supervisor: Berger
- Supervisor: Hofer
- Supervisor: Kalchgruber
- Supervisor: Klas
- Supervisor: Luidold
- Supervisor: Quirchmayr
- Area: (Multimedia) Content Authoring and Management
- Area: AI and Machine Learning
- Area: Blockchain
- Area: FactCheck
- Area: Game Design and Development
- Area: Robotics and IoT
- Area: Security and Privacy
- Area: Web Architectures and Services
- Supervisor: Aichinger
- Supervisor: Berger
- Supervisor: Hofer
- Supervisor: Kalchgruber
- Supervisor: Klas
- Supervisor: Luidold
- Supervisor: Quirchmayr
Section B - Topics for Master's Theses
Listed below are possible topics for master's theses. Unless there is a specific restriction stated in the topic description, the above topics in Section A may also be chosen, but usually in a more expanded or advanced form to meet the (methodological, formal, etc.) requirements of a scientific work.
In our experience, the topic of a master's thesis often naturally evolves from, or shares the same research area as, your P2 project (assuming you have completed it with our research group). In this case, you may want to reach out to your supervisor(s) to discuss possible directions and ideas.
- FactCheck: models and languages of Precision Metrics for comparing facts on the Web.
- FactCheck: flexible, configurable frameworks for crawlers for extracting facts from Web pages.
- FactCheck: the analysis of cloud-based storage systems/services and design of a storage framework for a FactCheck prototype.
- FactCheck: Analysis and extraction of structured information from text on the Web (news articles, scientific articles, Wikipedia, movie descriptions, etc.) using state-of-the-art AI technology and methods such as named entity recognition, key phrase recognition, and entity linking.
- FactCheck: multimedia content (images, audio, video) analysis tools (including the use of state-of-the-art AI technologies such as Azure AI tools and services) for extracting facts (or otherwise structured information) from the Web.
- FactCheck: Analysis and extraction of structured information on music-related information (e.g., album, artist, composer, release date, genre) using dedicated music cloud services or tools/APIs (e.g., MusicBrainz, Roon) by following the schemes available from, e.g., https://musicbrainz.org , https://www.discogs.com, or the Metadata Model used by Roon https://help.roonlabs.com/portal/en/kb/articles/metadata-model )
- Interactive advanced course content components based on Jupyter Notebooks for a dedicated course (e.g., MRE, MRS, MCM, MST, DMP) offered in the Bachelor's or Master's program.
Please note that our list of offered topics may be updated each semester.
In the case of Master Theses topics, you may directly contact Prof. Klas, or another researcher from our group, to find out more about possible topics.