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A Configurable Études Generator - available
Études are musical pieces designed as practice materials for perfecting particular musical skills (Wikipedia). The skills to be perfected can differ (in difficulty and category) from étude to étude, and are different between instruments, players, and also dimensions of musical content (melody, harmony, rhythm). Develop a sufficiently generic, configurable generator for études that outputs études of choosable difficulty. For this, define a system that encodes the difficulty of a task to be studied, and transformations that assess the difficulty of combinations of study tasks appropriately.
If you're interested, please contact Albert Rafetseder (albert.rafetseder@univie.ac.at)


An open-source GVRP/GARP dissector for Wireshark - available

Wireshark is a renowned measurement and analysis software for computer networks. Its dissector library is large, yet lower-layer protocols such as GARP and GVRP (protocols for configuration management between switches in LANs) are only partially implemented, do not appear to be tested, lack documentation, etc. Your task in this project is to assess the state of GARP / GVRP / GMRP protocol support in Wireshark through experiments, and extend the implementation and documentation to support the use cases that you identify as most relevant.

For this project, you will work with practical network equipment such as switches and wiretaps, as well as write software in C, and glue code in other languages.

If you're interested, please contact Albert Rafetseder (albert.rafetseder@univie.ac.at)


Routing and upstream/downstream traffic flows in IP networks have certain protocol and time constraints for working correctly. This project investigates challenges and opportunities opened up by making the network's uplink change dynamically, e.g. attach to a different address block while traffic flows are still active. What happens to current-day applications in situations like these? What protocol adaptations are required to lessen the impact of uplink dynamics? What timescales are reasonable for reconvergence? (Etc.)
If you're interested, please contact Albert Rafetseder (albert.rafetseder@univie.ac.at)

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A universal Smart Home API  - vergeben

The Smart Home communication protocol environment is heavily fragmented and many standards compete for integration. Thus, interoperability and unified control are not possible in most cases.  

Your task is to:

  1. Research the most widely used Smart Home communication standards and the corresponding APIs
  2. Design and Develop an API to cover all identified use cases/API calls from all of the aforementioned standard

Your Project should be implemented in a lightweight language such as MicroPython. Experience programming for microcontrollers (Arduino, ESP, NodeMCU) would be a plus.


Fake Data Generator (Test-data API) -
available
 assigned

Design brief in short: Write a RESTful API that outputs data previously stored in a CSV file!

Data is recognized as an essential 'raw material' of the future, and it's no secret that many modern applications are extremely data-intensive. For development purposes and user studies, having access to synthetic data of any kind can be quite beneficial.

The task for the Praktikum, Bachelor's, or Master's Thesis is to develop a web application that primarily fulfills the following requirements:

  • The user uploads a CSV file (or a JSON file, XML, etc.) with prepared data into the application. This could include, for example, recordings of stock market data and time-stamps. However, it could be anything like energy consumption, energy costs, or whatever is relevant.
  • Through an API, the user should then be able to access and download this data.
  • Only data that pertains to the past should be provided. That is, if the CSV file contains stock prices from 2022 to 2025, the API should deliver only those values that correspond to past dates, up to and including the current moment.
  • If the topic is treated within the scope of a Master's Thesis, we must conceive of even more meaningful tasks, such as an integrated random data generator.

Motivation: If one wanted to develop another application (not part of the Praktikum/Bachelor's/Master's Thesis) that, for example, deals with stock prices, then the API of the Fake Data Generator should provide the data for this app, thereby enabling tests to determine how well the app functions, etc.

Technology: We prefer Django, but we are flexible.

 If you're interested, please contact Florian Güldenpfennig (florian.gueldenpfennig@univie.ac.at)

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