Teaching & Supervision

Teaching 

  • Module “Introduction to Data Science (WS 2020/2021), University of Bonn, Germany.
  • SeminarAdvanced Topics in Data Science: Spatio-Temporal Data Analytics” (WS 2020/2021), University of Bonn, Germany.
  • LabData Science in Practice: Spatio-Temporal Data Analytics” (WS 2020/2021), University of Bonn, Germany.
  • Module “Introduction to Data Science (WS 2019/2020), Leibniz University of Hannover, Germany Lecturer, 2 SWS. Abstract: This module covers the concepts and practical skills in computer programming and statistical inference, in conjunction with hands-on analysis of datasets. This includes issues such as data cleaning; sampling; data management to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; as well as communication of results through data visualization. This module will also address interactive techniques for data science such as interactive machine learning.
  • Module “Advanced Methods of Information Retrieval (SS 2019, SS 2018, SS 2014, SS 2015), Leibniz University of Hannover, Germany. Lecturer, module leader, 4 SWS.  Abstract: In this module, we introduce the students to the advanced methods and algorithms of Information Retrieval for structured and semi-structured data (such as relational databases and knowledge graphs). The topics of the module include data structures, ranking methods, and efficient algorithms that enable end-users to effectively obtain the most relevant search results from structured, heterogeneous, and distributed data sources. Furthermore, we will study the corresponding evaluation techniques as well as novel applications.
  • Module “Foundations of Information Retrieval (WS 2008 – WS 2014), Leibniz University of Hannover, Germany. Lab and lecturer assistance. Responsibilities: Selected lectures, lab curriculum, design, and marking of written exams, feedback to students. Abstract: The module gives an introduction to Web Information Retrieval with particular emphasis on the algorithms and technologies used in modern search engines. The module covers an introduction to the traditional text IR, including Boolean retrieval, vector space model as well as tolerant retrieval. Afterward, the technical basics of Web IR including link analysis and crawling are discussed. This leads to the study of the modern search engine evaluation methods, various test collections, and applications.
  • Student supervision in the context of Web Science Seminar, Leibniz University of Hannover, Germany. Abstract: The seminar discusses state-of-the-art approaches to Information Retrieval, Semantic Web, Data Mining, and Social Web.
  • Supervision of student projects:
    • Several programming and research projects in the context of “Software project” and Oberstufenlabor “Web-Technologien“.

Scientific Coordination

  • 03/2017-02/2020 Coordination of the Data4UrbanMobility project.
  • 08/2018-07/2021 Coordination of the Simple-ML project.
  • 01/2019-12/2022 Coordination of the Cleopatra ITN project.
  • 09.02.2016 – 12.02.2016 WDAqua ITN R&D week, University of Bonn, Germany.
  • 01.2016 – 12.2016 Weekly seminar for Ph.D. students. University of Southampton, UK.

Supervision of Researchers and Students in my Research Group

  • Postdoc Researchers
    • Dr. Besnik Fetahu, 2018-2020.
    • Dr. Ivana Marenzi, from 2018.
    • Thorben Funke, from 02/2020.
  • Ph.D. Students
    • Nicolas Tempelmeier, from 2017. Related publications: see bibsonomy.
    • Simon Gottschalk, from 2015. Related publications: see bibsonomy.
    • Gerhard Gossen, 2014-2018. Related publications: see bibsonomy.
    • Tarcisio Souza, from 2014. Related publications: see bibsonomy
    • Sara Abdollahi, from 07/2019. Related publications: see bibsonomy.
    • Stefan Schestakov, from 07/2019
    • Rajjat Dadwal, from 07/2019.
    • Tin Kuculo, from 07/2019.
    • Ashutosh Sao, from 01/2020.
    • Alishiba Dsouza, from 03/2020.
    • Fakhar Abbas, from 08/2020.
  • M.Sc. and B.Sc. Students
    • Alexandra Risch. M.Sc. Thesis: “Extraction and Interlinking of Mobility-Relevant Geographic References from Twitter” (11/2018-05/2019).
    • Simon Gottschalk. M.Sc. in Computer Science, Leibniz Universität Hannover, Germany. Thesis: “Analysing Language-specific Differences in Multilingual Wikipedia” (2015). Graduated with distinction [pdf]. Related publications: see bibsonomy.
    • Irina Oelze. M.Sc. in Computer Science, Leibniz Universität Hannover, Germany. Thesis: “Integration of YAGO Ontology in the IQP Query Construction System to support efficient Query Construction over a large-scale relational Database” (2012). Related publications: see bibsonomy.
    • Irina Oelze. B.Sc. in Computer Science, Leibniz Universität Hannover, Germany. Thesis: “Automatic Keyword Extraction for Database Search” (2009) [pdf]. Related publications: see bibsonomy.
  • Interns and HiWi Students
    • Gautam Kishore Shahi (M.Sc. student, University of Trento), internship 12/2018-05/2019.
    • Yiwei Zhou (Ph.D. student), from the University of Warwick, UK, 1-month visit. Related publications: see bibsonomy.
    • 3 M.Sc. students from the Renmin University of China, 3-month visits.
    • Several HiWi students.