Teaching

During my academic career, I taught courses and advised theses on (almost) all levels in the context of computer science. I independently designed a course named Distributed Information Management, which is part of the interdisciplinary curriculum Digitalization-Innovation-Society and the cross-factulty initiative Computer Science Skills for All at the University of Salzburg. Finally, I gained international teaching experience by teaching at the Mohammed VI Polytechnic University (UM6P).

Selected Courses

Lectures (with Labs)

• Distributed Information Management. Designer and Lecturer.
  Undergraduate, University of Salzburg (Course No. 512.044). Spring 2021, Spring 2022, Spring 2023, Spring 2024.
• Systems Engineering. Lecturer.
  Undergraduate, University of Salzburg (Course No. 511.047). Fall 2021, Fall 2022, Fall 2023.
• Principles of Systems Engineering. Lecturer.
  Graduate, Mohammed Polytechnic University (Data, Networks, and Algorithms (DNA) program). Spring 2022, Spring 2023.

Labs

• Databases 2. Instructor.
  Undergraduate, University of Salzburg (Course No. 511.075). Fall 2017, Fall 2018.
• Databases Tuning. Instructor.
  Undergraduate, University of Salzburg (Course No. 511.201). Spring 2018, Spring 2019.
• Formal Systems. Instructor.
  Undergraduate, University of Salzburg (Course No. 511.002). Fall 2021.
• Introduction to Programming. Instructor.
  Undergraduate, University of Salzburg (Course No. 511.053). Fall 2022, Fall 2023.
• Non-Standard Database Systems. Instructor.
  Graduate, University of Salzburg (Course No. 911.428). Spring 2018, Spring 2019.
• Similarity Search in Large Databases. Instructor.
  Graduate, University of Salzburg (Course No. 911.426). Fall 2018.

Selected Advised Theses

Ph.D. Theses

• Scaling Similarity Queries to Massive Datasets.
  Manuel Widmoser. University of Salzburg, Ongoing (since 2021).

Master’s Theses

• Predicting the Next Word in a Search Query Using LLMs.
  Konrad Medicus. University of Salzburg, Joint work with Nosto Solutions Oy, Ongoing (since 2023).
• Clustering of JSON Documents.
  Matthias Paulitsch. University of Salzburg, 2023.
• An SQL Compiler for a Process Mining Engine.
  Verena Lorber. University of Salzburg, 2022.
• A Metric Solution for Large-Scale Set Similarity Joins.
  Manuel Widmoser. University of Salzburg, 2021.
• An Index for Density-Based Clustering with Applications in Process Mining.
  Konstantin Emil Thiel. University of Salzburg, 2021.
• An Empirical Evaluation of Map-Reduce with Remote Direct Memory Access.
  Thomas Samy Dafir. University of Salzburg, 2021.

Bachelor’s Theses

• 32-Bit Support for Bit-Precise Modeling of RISC-V Code.
  Patrick Weber. University of Salzburg, Ongoing (since 2023).
• Automated Witness Extraction for Bit-Precise Modelins of RISC-V Code.
  Bernhard Haslauer. University of Salzburg, Ongoing (since 2023).
• Design and Implementation of the Chip-8 Architecture.
  Michael Lenort. University of Salzburg, Ongoing (since 2023).
• A Practical Introduction to RDMA Programming.
  Andreas Schranzhofer. University of Salzburg, 2022.
• Implications of Modern Networks on Data Structure Design — Remote Procedure Calls.
  Emanuel Petter. University of Salzburg, 2021.
• An In-Depth Study of Selectable Signatures for Set Similarity Joins.
  Daniel Ulrich Schmitt. University of Salzburg, 2020.
• Data Migration at Wüstenrot: Use Cases.
  Mirna Mrazovic. University of Salzburg, 2020.
• Set Similarity Joins with Bitmap Filters.
  Matthias Paulitsch. University of Salzburg, 2019.