Summary
Michele Cipriano is a PhD candidate at Sapienza University of Rome with eight years of experience researching humanoid robot locomotion in unknown, rough environments. His background blends a strong academic foundation in AI, robotics and control (MSc and ongoing PhD in ABRO) with international exposure from a Visiting PhD stint at LIRMM and research fellowship roles. He focuses on making legged robots sense and adapt to challenging terrains, combining simulation, control theory and experimental validation. Based in Rome, he brings practical software and systems skills from dual BSc studies in computer science (Leeds and Parma) and a disciplined engineering mindset evident since his high-school specialization. Colleagues describe him as methodical and resilient—traits that serve both long-term research projects and hands-on hardware experiments.
8 years of coding experience
High School Diploma, Computer Science, 94/100, High School Diploma, Computer Science, 94/100 at ITIS Leonardo Da Vinci
Bachelor of Science (B.Sc.), Computer Science, 109/110, Bachelor of Science (B.Sc.), Computer Science, 109/110 at Università degli Studi di Parma
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at University of Leeds
PhD program in Automatic Control, Bioengineering and Operations Research (ABRO), PhD program in Automatic Control, Bioengineering and Operations Research (ABRO) at Sapienza Università di Roma
Italian, English