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.

Posts by Collection

portfolio

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

Short description of portfolio item number 2

publications

Paper Title Number 1

Published in Journal 1, 2009

This paper is about the number 1. The number 2 is left for future work.

Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf

Paper Title Number 2

Published in Journal 1, 2010

This paper is about the number 2. The number 3 is left for future work.

Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf

Paper Title Number 3

Published in Journal 1, 2015

This paper is about the number 3. The number 4 is left for future work.

Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf

talks

Lecture at the Unstructured and Streaming Data Engineering course

Published: December 19, 2019

Lecture at the Unstructured and Streaming Data Engineering course (Milano, Italy) as part of the Computer Science 1nd year Master Program of Politecnico of Milano 2019-2020.

Lecture at a Data Science Professional Training Course

Published: January 29, 2021

Lecture about Supervised Machine Learning at a Data Science Professional Training Course (Cefriel, Milano, Italy).

Lecture at a Data Science Professional Training Course

Published: March 18, 2021

Lecture about Anomaly Detection at a Data Science Professional Training Course (Cefriel, Milano, Italy).

Lecture at a Data Science Professional Training Course

Published: June 29, 2021

Lecture about Streaming Machine Learning at a Data Science Professional Training Course (Cefriel, Milano, Italy).

Streaming Machine Learning

Published: July 05, 2021

Online seminar about Streaming Machine Learning at Universidad Politécnica de Madrid (Madrid, Spain).

Lecture at a Data Science Professional Training Course

Published: July 20, 2021

Lecture about Anomaly Detection at a Data Science Professional Training Course (Cefriel, Milano, Italy).

Lecture at a Data Science Professional Training Course

Published: October 15, 2021

Lecture about Anomaly Detection at a Data Science Professional Training Course (Cefriel, Milano, Italy).

Lecture at the Streaming Data Analytics course

Published: November 30, 2021

Lecture at the Streaming Data Analytics course (Milano, Italy) as part of the Computer Science 1nd year Master Program of Politecnico of Milano 2021-2022.

Session Chair of Big Data Learning and Analytics

Published: December 17, 2021

Session Chair of Big Data Learning and Analytics at IEEE International Conference of Big Data 2021.

Lecture at a Data Science Professional Training Course

Published: February 15, 2022

Lecture about Anomaly Detection at a Data Science Professional Training Course (Cefriel, Milano, Italy).

Lecture at a Data Science Professional Training Course

Published: July 15, 2022

Lecture about Streaming Machine Learning at a Data Science Professional Training Course (Cefriel, Milano, Italy).

Lecture at a Data Science Professional Training Course

Published: July 15, 2023

Lecture about Anomaly Detection at a Data Science Professional Training Course (Cefriel, Milano, Italy).

teaching

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.

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.

Streaming Data Analytics

MSc course, Politecnico of Milano, DEIB, 2023