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PhD Student
Computer Science Institute
University of Bonn

Profiles: Homepage, LinkedIn, Google Scholar, GitHub, Research Gate, Twitter

Room 1.068
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science
sejdiu@cs.uni-bonn.de

Short CV

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Gëzim Sejdiu is a PhD Student & Research Associate at the University of Bonn. Gëzim’s research interest are in the area of Semantic Web, Big Data and Machine Learning. He is also interested in the area of distributed computing systems (Apache Spark, Apache Flink).

Research Interests

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• Big Data
• Data Mining and Data Analysis
• Semantic Web and Semantic Search
• Machine Learning
• Distributed Computing

Projects

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• Big Data Europe – Integrating Big Data, Software & Communities for Addressing Europe’s Societal Challenges
• SANSA – Open source platform for distributed data processing for RDF large-scale datasets
• BigDataOcean – Exploiting Ocean’s of Data for Maritime Applications
• Boost4.0 – Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0

Teaching

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• Courses 
  •  Lab “Distributed Big Data Analytics”  – (MA-INF 4223)
    The goal is to provide experience and technical skills related to Big data processing tools like Flink and Spark, in addition, to make them acquainted with the functional programming style prevalent in concurrent and parallel programming for Big data.
    (SoSe2019, WiSe2018/19, SoSe2018, WiSe2017/18, SoSe2017)
• Supervision
  • Emetis Niazmand, since 2019; Master Thesis _{(co-supervision with Prof. Dr. Jens Lehmann)}
  • Gresa Halimi (University of Prishtina), since 2019; Master Thesis _{(co-supervision with Prof. Dr. Lule Ahmedi)}
  • David Ibhaluobe, since 2019; Master Thesis _{(co-supervision with Dr. Damien Graux and Prof. Dr. Jens Lehmann)}
  • Moumen Elteir, since 2018; Master Thesis _{(co-supervision with Prof. Dr. Jens Lehmann)}
  • Pardeep Naik, 2018 – 2019; Master Thesis: “An efficient recommendation system for RDF partitioners over large-scale RDF datasets” _{(co-supervision with Dr. Ioanna Lytra and Prof. Dr. Jens Lehmann)}
  • Mohammad Ghasemi, 2018 – 2019; Master Thesis: “An efficient semantic-based Entity-Resolution over Big RDF data with SANSA framework” _{(co-supervision with Prof. Dr. Jens Lehmann)}
  • Abakar Bouba, 2018 – 2019; Master Thesis: “RDF Data Compression Techniques in a Highly Distributed Context” _{(co-supervision with Dr. Damien Graux and Prof. Dr. Jens Lehmann)}
  • Gulnar Khalilova, 2018; Master Thesis _{(co-supervision with Dr. Anisa Rula and Prof. Dr. Jens Lehmann)}
  • Wang Zhe, 2018; Master Thesis: “Efficient In-memory Graph Partitioning Algorithms and Query Engine for RDF Data” _{(co-supervision with Dr. Ioanna Lytra and Prof. Dr. Jens Lehmann)}
  • Kunal Jha, 2018; Master Thesis: “Rule Mining on Distributed RDF Data” _{(co-supervision with Dr. Hajira Jabeen, Tommaso Soru, Michael Roeder and Prof. Dr. Jens Lehmann)}
  • Mohamad Denno, 2017 – 2018; Master Thesis: “Scalable deep learning technique for sensitive data exposure detection” _{(co-supervision with Dr. Hajira Jabeen and Prof. Dr. Jens Lehmann)}
  • Ali Denno, 2017 – 2018; Master Thesis: “Scalable Knowledge Graph Exploration for Sentiment Classification” _{(co-supervision with Dr. Hajira Jabeen and Prof. Dr. Jens Lehmann)}
  • Imran Khan, 2017 – 2018; Master Thesis: “Efficient and Scalable in-memory Semantic Partitioning for RDF Data” _{(co-supervision with Dr. Ioanna Lytra and Prof. Dr. Jens Lehmann)}
  • Nayef Roqaya, 2017 – 2018; Master Thesis: “Distributed Data Parsing and Vandalism Detection on Large Knowledge Graphs using Apache Spark and Hadoop Ecosystem” _{(co-supervision with Dr. Hajira Jabeen and Prof. Dr. Jens Lehmann)}
  • Rohan Asmat, since 2017; Web Development.
  • Julius Kaufmann, since 2017; DevOps.
  • Adrian Bajraktari, June – September 2018; Web Development.

Awards and Nominations

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• Best demonstration award at International Semantic Web Conference 2017.
  I. Ermilov, J. Lehmann, G. Sejdiu, L. Bühmann, P. Westphal, C. Stadler, S. Bin, N. Chakraborty, H. Petzka, M. Saleem, A. N. Ngonga, and H. Jabeen, “The Tale of Sansa Spark” in Proceedings of 16th International Semantic Web Conference, Poster & Demos, 2017. (Project Website, GitHub, Slides, Screencasts)

Presentations

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1. Towards A Scalable Semantic-based Distributed Approach for SPARQL query evaluation @SEMANTiCS 2019, 9-12.09.2019 (slides)
2. DistLODStats: Distributed Computation of RDF Dataset Statistics @ISWC 2018, 8-12.10.2018 (slides)
3. The Tale of SANSA Spark :: SANSA-Notebooks: Developer friendly access to SANSA  @ISWC 2017, 21-25.10.2017 (slides, demo)
4. Distributed Knowledge Graph Processing in SANSA  @HPI Future SOC – Lab Day (Spring 2017), 25.04.2017 (video).
5. A demo of Apache Flink with Docker on the BDE platform @2nd BDE Technical Webinar, 20.10.2016 (slides, video)

Workshops & Tutorials

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• Workshops
  • 1st Workshop on Large Scale RDF Analytics (LASCAR-19)
    _{Half-Day Workshop at 16th European Semantic Web Conference 2019 (ESWC2019).
    2nd – 6th June 2019, Portorož, Slovenia}
• Tutorials
  • SANSA’s Leap of Faith: Scalable RDF and Heterogeneous Data Lakes
    _{Half-Day Tutorial at 16th European Semantic Web Conference 2019 (ESWC2019).
    2nd – 6th June 2019, Portorož, Slovenia}

Publications

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