Ingegneria industriale e dell'informazione (Machine Learning Lab)

Department

Department of Engineering and Architecture at University of Trieste

Main research activities/topics/projects

Automated Machine Learning (AutoML) and Its Applications

Automated Machine Learning (AutoML) aims to reduce the manual effort required to build and deploy machine learning models. By democratizing machine learning, AutoML enables individuals without extensive data science expertise to leverage its power for various tasks, with a particular focus on clustering.

Applications of AutoML include Explainable AI (XAI) and AutoML for Process Mining.

Process Mining is a discipline that uses data from an organization's IT systems to analyze and visualize business processes. AutoML for Process Mining seeks to automate various aspects of the Process Mining workflow, making it more accessible, efficient, and effective.

Working language

English

Special entry requirements

Computer Science Background

Duration in months (min-max)

PhD sandwich: 6-12