Lecturer at University of Milan, Department of Philosophy:
15th April 2021: Guest lecture overviewing topics and trends in Machine Learning. The lecture was given in the context of the course Probability Logic taught by Prof. H. Hosni, for students of the MSc in Philosophy (Reasoning, Analysis and Modelling track).
Lecturer, Teaching Assistant and Marker at UCL, Department of Information Studies:
2015–Present: Knowledge Representation and Semantic Technologies (Lecturer, Teaching Assistant, Marker)
2020–Present: Logic and Knowledge Representation (Teaching Assistant, Marker)
2017–2020: Introduction to Programming and Scripting (Teaching Assistant, Marker)
2018–2020: Foundations of Machine Learning and Data Science (Teaching Assistant, Marker)
2015–2019: Programming 2 (Teaching Assistant, Marker)
2018–2019: Server Programming and Structured Data (Teaching Assistant)
Demonstrator and Teaching Assistant at University of Palermo, Department of Maths and Computer Science:
I worked as a Lab Demonstrator in the Theoretical Computer Science course of the MSc in Computer Science. (see my slides on Fuzzy Logic)
I have collaborated to the supervision of several BSc/MSc dissertations, whose work is under consideration for publication/has been published on various AI conferences and journals.
Sara Sangiovanni, BSc Dissertation (see: S. Sangiovanni, M. Spezialetti, F. A. D'Asaro, G. Maggi, S. Rossi. "Administrating Cognitive Tests Through HRI: An Application of an Automatic Scoring System Through Visual Analysis", in Proceedings of ICSR 2020, pp 369-38 https://link.springer.com/chapter/10.1007/978-3-030-62056-1_31).
Luca Raggioli, MSc Dissertation (his work on a Reinforcement Learning technique for a robot's approaching behavior has been submitted to the journal Autonomous Robots; awaiting review).
Gennario Daniele Acciaro, BSc Dissertation (his work on the use of Event Calculus for Intention Recognition has been submitted to TIME2021 conference; awaiting review).
Daniele Fossemò and Marco D'Aviero, BSc Dissertations (they have been working on extending our work "Towards explaining black box models..." on using ILASP to explain preference black-box models and have built and analysed a food preference dataset that will be available soon).