
VEROSIMILE ALESSANDRO
PHD Student in Information Technology
- Campus:Building 20
- Floor:S
- Office:001a
He has been part of the Recommender System team of Politecnico di Milano in 2023, winning the RecSys Challenge 2023 and presenting the team’s solution at the ACM RecSys Conference 2023 in Singapore. He also took part in NECSTCamp, developing a research project about the hardware acceleration of Decision Tree based Machine Learning models on embedded devices, and publishing a research paper on the topic at the ASP-DAC 2024 conference. As his Master’s thesis, he took part in the Honours Programme in IT, working in the field of Algorithmic Game Theory.
Alessandro is currently carrying out his PhD on the acceleration of Machine Learning and Deep Learning algorithms on embedded devices. His main research interests are related to Machine Learning, embedded devices, and hardware-software co-design.