Scholar
Carlo Vittorio Cannistraci
Google Scholar ID: b7xoXO0AAAAJ
Chair Professor & Chief Scientist, Center for Complex Network Intelligence, Tsinghua University
Citations & Impact
Citations
4,852
H-index
39
i10-index
70
Publications
20
Co-authors
1
Resume
Academic Achievements
- Published the paper 'Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning' at The Twelfth International Conference on Learning Representations (ICLR) 2024.
Research Experience
- Director of the Center for Complex Network Intelligence (CCNI) at THBI, aiming to create pioneering algorithms at the intersection of information science, physics of complex systems, complex networks, and machine intelligence, with a particular focus on brain/life-inspired computing for big data analysis. These methods are often applied to precision biomedicine, neuroscience, social and economic sciences.
Education
- PhD. Eng., Zhou Yahui Chair Professor, Chief Scientist at Tsinghua Laboratory of Brain and Intelligence (THBI), Adjunct Professor in the Department of Computer Science and School of Biomedical Engineering at Tsinghua University.
Background
- Theoretical engineer and computational innovator. His research interests lie at the interface between 'Physics and Engineering of Complexity and Intelligence', particularly focusing on the principles of natural and artificial intelligence.
Miscellany
- Current research challenge: Developing next-generation efficient and sustainable AI inspired by brain-network computing.