Claudio Schiavella
I'm Researcher
About
My career combines a strong academic foundation with practical experience as a freelance software developer, AI consultant and high school educator.
Engineering in Computer Science PhD student
I am a Ph.D. student in Engineering in Computer Science at Sapienza University of Rome, currently conducting research in the ALCOR Computer Vision Lab. My work focuses on developing and optimizing innovative, portable Computer Vision models tailored for edge devices, aiming to push the boundaries of efficiency and deployment flexibility in real-world applications. I hold a Bachelor's degree in Computer and Automation Engineering and a Master's degree in Artificial Intelligence and Robotics, where I graduated with top honors. My academic journey has provided a strong foundation in advanced computing, intelligent systems, and automation, guiding my current research in cutting-edge computer vision for edge devices. I have gained international experience as a student in various universities and schools across Europe and Asia, including in the Czech Republic, France, Portugal, Finland, England, Scotland, Ireland, and Japan. Currently, I collaborate with Tecnoseta SRL to help revitalize the Italian silk supply chain within the framework of Industry 4.0. I am also passionate about teaching and have experience as a high school instructor, where I enjoy engaging students with a hands-on approach to learning.
- Birthday: 21 April 2000
- Age: 24
- City: Rome, Italy
- Research topics: Computer Vision, Edge devices
- Degree: Artificial Intelligence and Robotics
- Email: claudio.schiavella@uniroma1.it
Stats
International Academic Experiences Years
Courses and exchanges across eight countries
Startup Experience years
Hands-on innovation in dynamic environments
Teaching and Mentoring years
Passionate about inspiring the next generation
Projects and Research Initiatives
In computer vision, edge AI, and robotics for innovative solutions
Skills
"The more knowledge one has, the more one desires."
— Leonardo da Vinci
Resume
With a deep-rooted dedication to innovation and teaching, I leverage extensive experience in AI, robotics, and computer vision research to push the boundaries of technology.
Education
PhD in Engineering in Computer Science
2024 - Present
Sapienza University of Rome, Rome, Italy
Research project: Advancing IoT Computer Vision with Efficiency and Performances
Laboratory: ALCOR Lab
Master's Degree in Artificial Intelligence & Robotics
2022 - 2024
Sapienza University of Rome, Rome, Italy
Final grade: 110/110 cum Laude
Thesis: Enhancing ViT for MDE with Efficient Attention
Bachelor's Degree in Computer & Automation Engineering
2019 - 2022
Sapienza University of Rome, Rome, Italy
Final grade: 107/110
Thesis: Classificatore con Logistic Regression per allevamento bachi da seta
Professional Experience
Software developer & Event coordinator
2017 - Present
Tecnoseta SRL, Zagarolo, Italy
Innovative software development, company-school cooperation , and tech fairs organizations.
Visiting Scholar
2024
Tohoku University, Sendai, Japan
Integration of advanced computer vision techniques for enhancing the perception and control of multi-degree-of-freedom robotic systems.
High School Professor
2021 - 2024
ITIS G.Boole, Genazzano, Italy
I taught full courses in subjects related to automation, providing guidance for incoming and outgoing orientation, done seminars on advanced topics in AI and Robotics.
Portfolio
A selection of my diverse professional experiences, showcasing my journey through various roles, academy and industries!
- All
- Academy
- Work
- Personal
Scientific Production
A showcase of research contributions aimed at advancing portable AI solutions through optimized computer vision models.
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task
2024
Schiavella C., Cirillo L., Papa L., Russo P., Amerini I.
10.1007/978-3-031-51023-6_32
Projects
A curated selection of projects advancing the fields of artificial intelligence and vision technology.
Geometric Algebra Transformer
Lightweight and equivariant transformer architecture adapted for artery disease classification.
Grasping on the move
A reactive architecture made up of three controllers allows Tiago Robot to grasp and place a static object on-the-move, without stopping
Snake robot enanched with Computer Vision
Control a snake robot using various methods involving visual landmark tracking.
Feedbacks
Thoughtful feedback that highlights the impact and value of collaborative efforts.
Contact
Feel free to reach out for questions, partnerships, or discussions!
Location
Rome, Italy
claudio.schiavella@uniroma1.it