Lukas Schmelzeisen
Angestellt, PhD Student, Institute for Web Science and Technologies, University of Koblenz-Landau
Koblenz, Deutschland
Werdegang
Berufserfahrung von Lukas Schmelzeisen
Bis heute 8 Jahre und 3 Monate, seit Aug. 2016
PhD Student
Institute for Web Science and Technologies, University of Koblenz-Landau
Research: Ongoing work on my PhD dissertation. Cocreated DFG-grant application "Open Argument Mining" (funded for three years). Reviewing duties. • Teaching: Independently organized the tutorial on "Web Information Retrieval". Main instructor for the research practical "Artificial Intelligence Approaches for RTS Games". Supervised three bachelor theses on the topics of "Word Embedding Modeling Choices", "Graph Convolutional Networks for Word Sense Disambiguation", and "Image Recognition for RTS Games".
3 Jahre und 2 Monate, Juni 2013 - Juli 2016
Student Research Assistent
Institute for Web Science and Technologies, University of Koblenz-Landau
Personally designed and implemented the Java-based "Generalized Language Modeling Toolkit", a toolkit for evaluating experimental language modeling approaches in the area of natural language processing. • Core development role in the relaunch of the social media website "Metalcon" in a team of five students. My focus area was building an asynchronous, distributed, and extensible system
Ausbildung von Lukas Schmelzeisen
Bis heute 7 Jahre und 7 Monate, seit Apr. 2017
Computer Science
University of Koblenz-Landau
Working title of dissertation: "Ontology Learning via Word Embeddings" Research areas: Machine Learning, Natural Language Processing, Semantic Web
1 Monat, März 2017 - März 2017
University of Koblenz-Landau
Permission to start a PhD without a Master's degree (very rare in Germany) Exam Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing, Semantic Web
3 Jahre und 6 Monate, Apr. 2012 - Sep. 2015
Computer Science
University of Koblenz-Landau
Overgrall grade: 1.5 (German scale, equivalent to A). Bachelor thesis on “Fast and Non-Approximative Language Model Prefixquries for Word Prediction using Top-k Joining Techniques”, grade: 1.0 (German scale, equivalent to A+).
2003 - 2012
Eichendorff-Gymnasium (Koblenz)
Sprachen
Deutsch
Muttersprache
Englisch
Fließend