Thesis Topics
Below you find a list currently open thesis topics (under reserve). If you are interested in a topic, please contact either directly the corresponding supervisor or, for general questions, Dr. Lars Ackermann. Independent from the number of topics we can only offer a limited capacity of free slots for theses. Please ask the corresponding supervisor if there is still enough capacity to supervise your chosen topic.
The topic list below are suggestions which are well-conceived in that terms that they are suited to your study program and requirements. This is why we usually choose those internal topics over topics in collaboration with external companies. However, exceptions are possible but only in few cases.
If you intend to work on a topic in collaboration with an external company or institution please provide the following information:
- Contact details of the company/institution and the corresponding contact person and
- A brief description of the topic/idea.
The goals, scientific requirements and artifacts to develop for the thesis are decided by the corresponding supervisor at our chair (in coordination with the other supervisors).
The topic list below is not exhaustive. We recommend to see potential supervisors of thesis topic personally to discuss further topics.
All topic descriptions may change over time, usually driven by findings that emerge by working on the topics. Thus, all current descriptions are temporarily valid only.
Open topics
| ID | Topic | Link | Type | Expected prior knowledge | Coordinator | |
|---|---|---|---|---|---|---|
| 001 | Development and Analysis of a Plattform for Decentralized Process Execution | - | MA | Blockchain | Sturm | |
| 002 | An Evaluation Framework for Blockchain-based Process Execution | - | MA | Blockchain | Sturm | |
| 003 | Generating Petri Nets from Neural Process Prediction Models | - | MA | Data Analysis II + PAIS | Dr. Ackermann |
Topics in progress
| ID | Topic | Type | Coordinator |
|---|---|---|---|
| 001 | Measuring the quality of annoated datasets in NLP | MA | Jablonski / Ackermann |
| 002 | KI-unterstützte Annotationsplattform für NLP-Datensätze | MA | Jablonski / Ackermann |
| 003 | Automatenbasierter Vergleich deklarativer Prozessmodelle | BA | Jablonski / Ackermann / Schützenmeier |
| 004 | Evaluation von Process Model Discovery Verfahren auf kleinen Event Logs | BA | Jablonski / Ackermann / Käppel |
| 005 | Evaluation und Ressourceneffizienz von Remaining Time Prediction mit LSTM Netzwerken auf kleinen Event Logs | BA | Jablonski / Ackermann / Käppel |
| 006 | Evaluation techniques for data augmentation in natural language understanding | MA | Jablonski / Ackermann |
| 007 | Data augmentation for named entity recognition using pre-trained language models | MA | Jablonski / Ackermann |
| 008 | Evaluation ausgewählter Association Rule Mining Algorithmen | BA | Fichtner |