Alessio Bernardo

Alessio Bernardo

After obtaining his PhD at the Politecnico di Milano, at the Department of Electronics, Information and Bioengineering, under the supervision of Prof. Emanuele Della Valle, with a thesis entitled ’On Learning from Massive, Evolving, and Imbalanced Data Streams’, Alessio Bernardo is a Research Fellow at the same department. His research interests are Streaming Machine Learning, Evolving Data Streams, Concept Drift, Class Imbalance, and Streaming Edge AI.

Teaching

Streaming Data Analytics

MSc course, Politecnico of Milano, DEIB, 2023

Teaching Assistant of Streaming Data Analytics course. The course provides the foundational concepts, methods, languages, and systems for ingesting, processing, and analyzing data that flows to enable real-time decisions. The course aims to the tame velocity dimensions of Big Data without forgetting the volume and variety dimensions.

Streaming Data Analytics

MSc course, Politecnico of Milano, DEIB, 2022

Teaching Assistant of Streaming Data Analytics course. The course provides the foundational concepts, methods, languages, and systems for ingesting, processing, and analyzing data that flows to enable real-time decisions. The course aims to the tame velocity dimensions of Big Data without forgetting the volume and variety dimensions.

Digital Project Management

MSc course, Politecnico of Milano, DEIB, 2020

Teaching Assistant of Digital Project Management course. The course provides an overview of the roles, responsibilities, and management methods of the digital project manager. The course assumes no prior knowledge in management techniques and is intended to teach students how to develop approaches and styles of management for digital projects. The course assumes a basic understanding of software analysis, design and development techniques.