Currently enrolled in a PhD Program in Data Science and Computation at University of Bologna, Andrea Amaduzzi is conducting research in the field of Deep Learning and Computer Vision.
Education
- Master's degree in Automation Engineering, March 2020
Thesis: "Deep Learning-based Human Action Recognition in a Collaborative Robotics Environment"
Company: KUKA GmbH, Augsburg, Germany
Supervisor: Prof. Gianluca Palli
Final mark: 110/110 cum laude
Visiting Student at University of Technology of Sydney, Australia (Overseas scolarship),
July 2018 - January 2019
GPA: 3.88/4.00
- Bachelor's degree in Automation Engineering, July 2017, 110/110 cum laude
Thesis: "sEMG-driven techniques for Elbow Torque Estimation: Evaluation of a black-box and phenomenological approach"
Supervisor: Prof. Claudio Melchiorri
Final mark: 110/110 cum laude
- High School Diploma Scientific High School "Enrico Fermi", Bologna, July 2014
Final mark: 100/100
Work Experience
- PhD student in Data Science and Computation, from November 2021 (until November 2025)
- R&D Vision Software Engineer, Datalogic S.p.A, July 2020 - November 2021
- Master's Thesis Intern at KUKA GmbH, Augsburg, Germany, July 2019 - February 2020
