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.

CV

Education

Ph.D in Computer Science, Politecnico of Milano, Milano, Italy, 2019-2023
Visiting Researcher at the University of Waikato in the Machine Learning group, Hamilton, New Zealand, September 2019 – November 2019
M.Sc. in Computer Science, Politecnico of Milano, Milano, Italy, 2016-2019
B.S. in Information Technology, Politecnico of Milano, Milano, Italy, 2013-2016

Work experience

May 2023 – Current, Research Fellow at Politecnico of Milano, Milano, Italy.
October 2018 – September 2019, Analyst Programmer at Halley Lombardia srl, Cantù, Italy.
March 2018 – December 2020, Tutor at Educo APS, Como, Italy.
2016 – 2018, IT Professor at Scuola Studio Lavoro, Como, Italy.
October 2015 – December 2016, Tutor at Associazione culturale Formamente, San Fermo Della Battaglia, Italy.
June 2013 – August 2013, Web Developer at Go.Var srl, Como, Italy.
June 2012 – August 2012, High School Internship at BluMade, Como, Italy.
June 2011 – August 2011, High School Internship at BluMade, Como, Italy.

Grants, Awards and Honors

Best Paper Award BIS 2021. Best paper award for the paper entitled “Supporting an Expert-centric Process of New Product Introduction with Statistical MachineLearning”.
PhD Grants. From November 2019 until January 2023 I was recipient of ministerial scholarship.

Publications

See my publications page.

Talks

See my talk page.

Teaching

See my teaching page.