Lukas Schmelzeisen

Angestellt, PhD Student, Institute for Web Science and Technologies, University of Koblenz-Landau

Koblenz, Germany

Skills

Machine Learning
Natural Language Processing (NLP)
Artificial Intelligence
Research
Big Data
Computer Science
Algorithms
Web Development
Data Mining
Knowledge Management
Programming
Software Development
Java
Docker
LaTeX
HTML
Cascading Style Sheets (CSS)
Git
Maven
Python
TensorFlow
PyTorch
Gensim
Computational Linguistics
Text Mining
Information Extraction
Information Retrieval
Semantic Web
Deep Learning
Artificial Neural Networks
Recurent Neural Networks (RNN)
Convolutional Neural Networks (CNN)
Knowledge Graph
Resource Description Framework (RDF)
SPARQL
Object-Oriented Programming (OOP)
Student Supervision
Ontologies
Knowledge Representation
Keras
Data Science

Timeline

Professional experience for Lukas Schmelzeisen

  • Current 8 years, since 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 years and 2 months, Jun 2013 - Jul 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

Educational background for Lukas Schmelzeisen

  • Current 7 years and 4 months, since 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 month, Mar 2017 - Mar 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 years and 6 months, 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)

Languages

  • German

    First language

  • English

    Fluent

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