Alessandro Verosimile is a PhD student in Information Technology at Politecnico di Milano. He received his Bachelor’s Degree in Computer Engineering cum laude at Università degli Studi di Salerno and his Master’s Degree in Computer Science & Engineering cum laude at Politecnico di Milano. During his Bachelor’s he participated in the Apple Foundation Program at Unisa, designing iWander, an iOS application to manage and share travels; moreover, with his team, he competed in the StartCup Campania with the LifeHelmet project, an IOT device with actuators and sensors to help workers in dangerous situations, winning the “Special Award for Sustainable Development”. During his Master’s he studied in a track dedicated to Machine Learning and Artificial Intelligence, participating in multiple extracurricular experiences.
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.