Wael Alkhatib, M. Sc.


Phone: +49 (0) 6151 16 20465
Location: S3|20 127


E-Mail: Wael.Alkhatib@...

8 Private Questions (in german)

Research Interests

  • Smart learning in the context of industry 4.0
  • Ontology supported workplace learning
  • Semantically enhanced multi-label classifcation
  • Natural Language Processing
  • Self-directed learning
  • Ontology based recommender systems
  • Machine learning
  • Semantic analysis
  • Deep Learning

Teaching Activities

Supervised Students

  • Tobias Michels: "Using Deep Learning for Multi-label Text Classification of Long Text", Master thesis
  • Feras Tanan: "Ontology based training-less multi-label text classification using Eordembeddings", Master thesis
  • Eid Araache: Contnet-based Recommender System Using Word embeddings for Recommending Next Learning Step
  • Robin Kahlow:Using Deep Learning Techniques for Automatic Extraction and Classification of Semantic Relations from Unstructured Texts, Bachelor thesis
  • Junhong Liu: "Efficient Multi Label Text Classification using Semantic Word Vectors", Master thesis
  • Saba Sabrin: "Ontology based multi-label text classification", Master thesis
  • Leon Alexander Herrmann: "Identification of meaningful syntactic and semantic relations between words in web documents based on Word Embeddings ", Bachelor thesis
  • Mian Muhammad Bilal Shabbir: "Designing a Distributed System for Automatic Ontology Extraction from Unstructured Texts", Master thesis
  • Hatem Khalloof: "An Extensive Analytical Study of Dataport Electricity Dataset for Accurately Predicting Short- and Long-Term Power Consumption and Generation Trends", Master thesis

Publications

Awards