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Carlo Vittorio Cannistraci
Brain and Intelligence Laboratory
Tsinghua University
Beijing
Language: English, Chinese, German, Italian
Complexity
Intelligence
Brain-Inspired
Network Science
Ai
Precision Biomedicine
Neuroscience
Social Sciences
Economic Sciences
Machine Learning
Areas of Focus
- Physics and Engineering of Complexity and Intelligence
- Brain-inspired Network Science for AI
- Complex Network Intelligence
- Precision Biomedicine
- Neuroscience
- Social and Economic Sciences
Work Experience
- 2019-2020 - Chief Researcher (Tenured) at Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technical University of Dresden, Germany
- 2014-2018 - Chief Researcher (Tenured) at Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technical University of Dresden, Germany
- 2013-08 to 2014-01 - Researcher at King Abdullah University of Science and Technology, Saudi Arabia
- 2010-2012 - Postdoctoral Researcher at King Abdullah University of Science and Technology, Saudi Arabia
- 2009-01 to 2009-12 - Visiting Scholar at University of California, San Diego, USA
- 2006-2010 - Researcher at San Raffaele Scientific Institute, Milan, Italy
- 2005-2006 - Researcher at Institute of Biomedical Engineering, National Research Council (ISIB-CNR), Milan, Italy
Academic Background & Achievements
- 2010 - PhD: Polytechnic Universities of Turin, Milan, and Bari, Italy
- 2005 - Master's Degree: Polytechnic University of Milan, Italy
Publications
- Neuromorphic Dendritic Computation with Silent Synapses for Visual Motion Perception, Eunye Baek, Sen Song, Zong Rong, Luping Shi, Carlo Vittorio Cannistraci, 2024
- Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning, Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci, 2024
- Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models, Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci, 2024
- Stealing fire or stacking knowledge’ by machine intelligence to model link prediction in complex networks, Alessandro Muscoloni and Carlo Vittorio Cannistraci, 2023
- Geometrical congruence, greedy navigability and myopic transfer in complex networks and brain connectomes, Carlo Vittorio Cannistraci and Alessandro Muscoloni, 2022
- Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome, Claudio Duran, Giovanni Gasbarrini, Antonio Gasbarrini & Carlo Vittorio Cannistraci, 2021
- Modular gateway-ness connectivity and structural core organization in maritime network science, Mengqiao Xu, Qian Pan, Alessandro Muscoloni, Haoxiang Xia & Carlo Vittorio Cannistraci, 2020
- Intrinsic plasticity of silicon nanowire neurotransistors for dynamic memory and learning functions, Eunhye Baek, Nikhil Ranjan Das, Carlo Vittorio Cannistraci, Gianaurelio Cuniberti, 2020
- Navigability evaluation of complex networks by greedy routing efficiency, Alessandro Muscoloni & Carlo Vittorio Cannistraci, 2019
- A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities, Alessandro Muscoloni & Carlo Vittorio Cannistraci, 2018
- Machine learning meets complex networks via coalescent embedding in the hyperbolic space, Alessandro Muscoloni, Ginestra Bianconi & Carlo Vittorio Cannistraci, 2017
- Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks, Simone Daminelli, Josephine Maria Thomas, Claudio Durán & Carlo Vittorio Cannistraci, 2015
- From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks, Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Timothy Ravasi, 2013
- Spatial Reconstruction of Oligo and Single Cells by De Novo Coalescent Embedding of Transcriptomic Networks, Y Zhao, S Zhang, J Xu, Y Yu, G Peng, CV Cannistraci, JDJ Han, 2023
- Prevalence, Characteristics, and Outcomes of COVID-19–Associated Acute Myocarditis, E Ammirati, L Lupi, M Palazzini, NS Hendren, JL Grodin, CV Cannistraci, Marco Metra, 2022
- Proprotein convertase subtilisin/kexin 9 (PCSK9) promotes macrophage activation via LDL receptor-independent mechanisms, Shunsuke Katsuki, Carlo V. Cannistraci, Masanori Aikawa, 2022
- Three-dimensional facial-image analysis to predict heterogeneity of the human ageing rate and the impact of lifestyle, Xian Xia, Carlo Vittorio Cannistraci, Yong Zhou & Jing-Dong J Han, 2020
- Machine learning of human plasma lipidomes for obesity estimation in a large population cohort, Mathias J Gerl, Carlo Vittorio Cannistraci and Kai Simons, 2019
- Pioneering topological methods for network-based drug–target prediction by exploiting a brain-network self-organization theory, Claudio Durán, Simone Daminelli, Carlo Vittorio Cannistraci, 2018
- A promoter-level mammalian expression atlas, Fantom Consortium (including Carlo Vittorio Cannistraci), 2014
- Differential roles of epigenetic changes and Foxp3 expression in regulatory T cell-specific transcriptional regulation, Fantom Consortium (including Carlo Vittorio Cannistraci), 2014
- Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding, Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Timothy Ravasi, 2013
- Identification and Predictive Value of Interleukin-6+ Interleukin-10+ and Interleukin-6− Interleukin-10+ Cytokine Patterns in ST-Elevation Acute Myocardial Infarction, Enrico Ammirati, Carlo Vittorio Cannistraci, Attilio Maseri, 2012
- Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes, CV Cannistraci, T Ravasi, FM Montevecchi, T Ideker, M Alessio, 2010
- An atlas of combinatorial transcriptional regulation in mouse and man, Timoty Ravasi, Harukazu Suzuki, Carlo Vittorio Cannistraci, 2010
