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Teaching

Courses

Data Programming - Universum College

This course teaches core programming concepts in Python with emphasis on real data manipulation tasks from science, engineering, and business. By the end of the course, students can independently implement useful programs from a data source and problem description.

Terms: WiSe 2021/22

Lab "Distributed Big Data Analytics" (MA-INF 4223) - University of Bonn

The lab provides hands-on experience with big data processing tools such as Apache Spark and introduces functional programming patterns used in concurrent and parallel big data systems.

Terms: SoSe 2019, WiSe 2018/19, SoSe 2018, WiSe 2017/18, SoSe 2017

Supervision

  • Ardit Meti (2020) - Master Thesis: "An Efficient and Scalable Translational Embedding Model for Dynamic Knowledge Graphs"
  • Emetis Niazmand (2019-2020) - Master Thesis: "An Efficient Semantic Summary Graph for Querying Large RDF Datasets using SANSA Framework"
  • Gresa Halimi (University of Prishtina, 2019) - Master Thesis: "A Scalable Semantic PageRank for Ranking Web Search Results"
  • Amrit Kaur (2019) - Master Thesis: "Scalable Entity Resolution"
  • Haziiev Eskender (2019) - Master Thesis: "Distributed in-Memory SPARQL Processing Engine over Tensor Data"
  • Pratik Kumar Agarwal (2019) - Master Thesis: "Scalable RDF Clustering"
  • David Ibhaluobe (2019) - Master Thesis: "A Scalable SPARQL Query Engine Over Large-Scale Compressed RDF Data Using SANSA"
  • Moumen Elteir (2018-2019) - Master Thesis: "Efficient real-time quality assessment for large-scale RDF datasets using SANSA"
  • Pardeep Naik (2018-2019) - Master Thesis: "An efficient recommendation system for RDF partitioners over large-scale RDF datasets"
  • Mohammad Ghasemi (2018-2019) - Master Thesis: "An efficient semantic-based Entity-Resolution over Big RDF data with SANSA framework"
  • Abakar Bouba (2018-2019) - Master Thesis: "RDF Data Compression Techniques in a Highly Distributed Context"
  • Gulnar Khalilova (2018) - Master Thesis
  • Tina Boroukhian (2018) - Bachelor Thesis: "Distributed RDF Clustering Framework"
  • Wang Zhe (2018) - Master Thesis: "Efficient In-memory Graph Partitioning Algorithms and Query Engine for RDF Data"
  • Kunal Jha (2018) - Master Thesis: "Rule Mining on Distributed RDF Data"
  • Rajjat Dadwal (2018) - Master Thesis: "Scalable Numerical Outlier Detection in Knowledge Graphs"
  • Theresa Nathan (2017-2018) - Bachelor Thesis: "Association Rule Mining of Linked Data Using Apache Spark"
  • Mohamad Denno (2017-2018) - Master Thesis: "Scalable deep learning technique for sensitive data exposure detection"
  • Ali Denno (2017-2018) - Master Thesis: "Scalable Knowledge Graph Exploration for Sentiment Classification"
  • Imran Khan (2017-2018) - Master Thesis: "Efficient and Scalable in-memory Semantic Partitioning for RDF Data"
  • Nayef Roqaya (2017-2018) - Master Thesis: "Distributed Data Parsing and Vandalism Detection on Large Knowledge Graphs using Apache Spark and Hadoop Ecosystem"

Mentoring and Project Guidance