Teaching

I assisted/tought a variety of lectures and supervised a range of projects related to Artificial Intelligence and Software Engineering at the University of Zurich (UZH) and the Università della Svizzera italiana (USI).

Thesis and Project Supervision

• Efficient Components of an OSS Dependency Graph Builder, Daniel Travaglia and Ian Abuaf Pelo, Summer internships, 2023 (ongoing), USI.

• Predicting Safety-Critical Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification, Davide Mammarella, MSc Thesis (Master in Informatics), 2021/2022, USI / Università di Milano Bicocca Double Degree.

• Leveraging Autoencoders for Robustness of Image Classifier based Applications, André García Gómez, MSc Thesis (Master in Artificial Intelligence), 2020/2021, USI. Awarded Top Grade.

• White-Box Out of Distribution Supervision in Convolutional Neural Networks, Rwiddhi Chakraborty, MSc Thesis (Master in Artificial Intelligence), 2020/2021, USI.

• Towards an Interactive Tool for Neural Network Input Comprehension, Martin Odermatt, UROP Research Project (Master in Software and Data Engineering), 2020, USI.

Teaching Assistance and Substitute Lecturing

• Information Modelling and Analysis: Discussion of a variety of Artificial Intelligence techniques, and two projects where useful information had to be gathered from raw data. (MSc, USI, 2021 & 2022)

• Software Atelier 3: Introduction to a node.js web stack: At the end of the course, teams of students were able to program fully functional web applications. (BSc, USI, 2020)

• Programming Fundamentals 2: Object-oriented programming using Java. (BSc, USI, 2020)

• Seminar Series of the Software Institute: A weekly course for PhD students, where researchers present recent advances in software engineering. (PhD, USI, 2020 - 2022)

• Advanced Java Programming: The most advanced programming course at USI. (MSc, USI, 2019 & 2021)

• Applied Artificial Intelligence: Theoretical analysis and practical exercises considering a range of artificial intelligence techniques. (MSc, UZH, 2016)

• Economics and Computation: Interplay between economic and computational thinking. Topics covered include: game theory, mechanism design, p2p file-sharing, advertising and combinatorial auctions, matching markets, computational social choice, and crowdsourcing markets. (BSc/MSc, UZH, 2014)

Guest Lecturing

• Advanced Java Develoment Tools: A practice-oriented introduction to dependency injection using Dagger2, testing using Junit5 and mocking using mockito. Part of the lecture ‘Advanced Java Programming’ at the Università della Svizzera italiana, 2022

• Introduction to Artificial Intelligence and its Risks: A brief introduction to artificial intelligence, machine learning and its application with a focus on its applicability, strength and weaknesses. Part of the lecture ‘Digital Humanities’ at the University of Zurich, 2023