Lectures

Ca’ Foscari University of Venice, Venice, Italy

  • Randomized Methods in Computer Science (20 hours) within PhD program in Computer Science, academic year 2023/2024.
  • Data Management (30 hours) within Bachelor’s Degree Programme Economics, Markets and Finance, academic 2024/2025.
  • Data Management (30 hours) within Bachelor’s Degree Programme Economics, Markets and Finance, academic 2023/2024.
  • Data Management (30 hours) within Bachelor’s Degree Programme Economics, Markets and Finance, academic year 2022/2023.

Gran Sasso Science Institute, L’Aquila, Italy

  • Multiplicative Weights Update (8 hours) within PhD program in Computer Science, academic year 2021/2022
  • Randomized Algorithms (7/14 hours) within PhD program in Computer Science, co-taught with Bojana Kodric, academic year 2021/2022.
  • Design and Analysis of Algorithms (8/30 hours) within PhD program in Computer Science, co-taught with Michele Flammini and Bojana Kodric, academic year 2021/2022.
  • Randomized Algorithms (7/14 hours) within PhD program in Computer Science, co-taught with Bojana Kodric, academic year 2020/2021.
  • Design and Analysis of Algorithms (8/30 hours) within PhD program in Computer Science, co-taught with Michele Flammini and Bojana Kodric, academic year 2020/2021.
  • Randomized Algorithms (7/14 hours) within PhD program in Computer Science, co-taught with Bojana Kodric, academic year 2019/2020.
  • Design and Analysis of Algorithms (8/30 hours) within PhD program in Computer Science, co-taught with Michele Flammini and Bojana Kodric, academic year 2019/2020.

Seminar Organization

Gran Sasso Science Institute, L’Aquila, Italy

  • Reading Group Algorithms, co-organized with Cosimo Vinci, academic year 2020/2021
  • Reading Group Algorithms, academic year 2019/2020

Max Planck Institute for Informatics and Saarland University, Saarbrücken, Germany

  • Reading Group Algorithms, co-organized with Kurt Mehlhorn and Emanuele Natale, summer semester 2017.
  • Reading Group Algorithms, co-organized with Kurt Mehlhorn, winter semester 2016.
  • Reading Group Algorithms, co-organized with Kurt Mehlhorn and Marvin Künnemann, summer semester 2016.
  • Reading Group Algorithms, co-organized with Kurt Mehlhorn and Marvin Künnemann, winter semester 2015.
  • Reading Group Algorithms, co-organized with Kurt Mehlhorn and Marvin Künnemann, summer semester 2015.
  • Reading Group Algorithms, co-organized with Kurt Mehlhorn and Marvin Künnemann, winter semester 2014.

Student Supervision

Gran Sasso Science Institute, L’Aquila, Italy

  • Sajjad Ghobadi, PhD student with Gianlorenzo D’Angelo. Thesis: Fairness in Influence Maximization, 2023.

Saarland University, Saarbrücken, Germany

  • Alexander Anisimov, Master student with Andreas Karrenbauer. Thesis: Implementing a Gradient Descent Algorithm for Phase Unwrapping as an Undirected Transshipment Problem, 2018.
  • Adithya Vadapalli, Master student with Andreas Karrenbauer. Thesis: Implementation and Experimental Evaluation of a Combinatorial Min-Cost Flow Algorithm, 2015.