Prof. LA BELLA ALESSIO
Assistant professor
Alessio La Bella was born in Erice (TP) in 1992. He received the B.Sc. and M.Sc. in Automation Engineering cum laude from Politecnico di Milano in 2013 and 2015, respectively, spending a study period in 2014 at the KTH Royal Institute of Technology, Sweden. In 2016, he received the Alta Scuola Politecnica Diploma, together with the M.Sc. in Mechatronics Engineering cum laude at Politecnico di Torino. From 2016 to 2019, he was Ph.D. Researcher in Information Technology at Politecnico di Milano, obtaining the Ph.D. degree cum laude in February 2020. In 2018, he was Visiting Researcher at the Automatic Control Lab of the École Polytechnique Fédérale de Lausanne, Switzerland.
From 2019 to 2020, he was Post-doctoral Researcher at Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano. From 2020 to 2022, he worked as Research Engineer at Ricerca sul Sistema Energetico - RSE SpA, designing and implementing advanced predictive control systems for district heating networks and large-scale battery plants, in collaboration with industrial companies and energy utilities. In 2022, he joined Politecnico di Milano as Assistant Professor (RTDa) at Dipartimento di Elettronica, Informazione e Bioingegneria. His research interests concern the theory and design of predictive, multi-agent and learning-based control systems, with particular emphasis on practical challenges arising from the upcoming energy transition. He was recipient of the Dimitris N. Chorafas Prize in 2020.
From 2019 to 2020, he was Post-doctoral Researcher at Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano. From 2020 to 2022, he worked as Research Engineer at Ricerca sul Sistema Energetico - RSE SpA, designing and implementing advanced predictive control systems for district heating networks and large-scale battery plants, in collaboration with industrial companies and energy utilities. In 2022, he joined Politecnico di Milano as Assistant Professor (RTDa) at Dipartimento di Elettronica, Informazione e Bioingegneria. His research interests concern the theory and design of predictive, multi-agent and learning-based control systems, with particular emphasis on practical challenges arising from the upcoming energy transition. He was recipient of the Dimitris N. Chorafas Prize in 2020.