Sebastian Lubos studied Informatics at the University of Klagenfurt and graduated in 2021. His master thesis investigated the simulation of disappointment events in games using Reinforcement Learning. The focus of his study was set on Artificial Intelligence, where he gained valuable knowledge of many topics, such as Machine Learning, Natural Language Processing and Information Search. Besides that, he obtained experience in the context of video streaming and the practical application of Deep Learning focused on Speech-to-Text, during his work at Streamdiver in Klagenfurt, parallel to his studies. Currently, Sebastian focuses on the integration of large language models (LLMs) into various types of Requirements Engineering scenarios including the LLM-based quality assurance of requirements, the LLM-based extraction of requirements from team meetings, and the LLM-based usability analysis of software user interfaces.
Link to Sebastian’s profile on Google Scholar.
