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Claudio Altafini

Professor

My research interests are broadly in the area of modeling and control of nonlinear dynamical systems.

Presentation

Background

I received a Laurea degree in Electrical Engineering from the University of Padova, Italy, in 1996 and a PhD in Optimization and Systems Theory from the Royal Institute of Technology, Stockholm, in 2001. I then moved to SISSA (International School for Advanced Studies) in Trieste, Italy, where I stayed until 2013. Since 2014 I am a Professor in Automatic Control in the Department of Electrical Engineering, Linkoping University.

Research

My research interests are broadly in the area of modeling and control of nonlinear dynamical systems. Over the years I have been involved with very different applications, ranging from robotics to quantum mechanics, from biological systems to complex networks. In the last few years the focus of my research has been almost exclusively on Modeling and Control of Complex Networks, for applications in Engineering and Technology, Systems Biology and Social Networks.

Selected Publications

Complex Networks:

  • G. Shi, C. Altafini and J. Baras. Dynamics over Signed Networks. SIAM Review, 61(2):229-257, 2019.
  • C Altafini. Consensus problems on networks with antagonistic interactions. IEEE Trans. on Automatic Control, 58 (4), 935-946, 2013.
  • G Facchetti, G Iacono, C Altafini. Computing global structural balance in large-scale signed social networks. Proceedings of the National Academy of Sciences 108 (52), 20953-20958, 2011.
Systems Biology:
  • G De Palo, G Facchetti, M Mazzolini, A Menini, V Torre, C Altafini. Common dynamical features of sensory adaptation in photoreceptors and olfactory sensory neurons. Scientific reports 3:1251, 2013.
  • G Facchetti, M Zampieri, C Altafini Predicting and characterizing selective multiple drug treatments for metabolic diseases and cancer. BMC systems biology 6 (1), 115, 2013.
  • N. Soranzo, F. Ramezani, G. Iacono and C. Altafini. Decompositions of large-scale biological systems based on dynamical properties. Bioinformatics, 28(1):76-83, 2012.
Quantum Control:
  • C. Altafini and F. Ticozzi. Modeling and Control of Quantum Systems: An Introduction, (tutorial paper) Special Issue on Quantum Control of the IEEE Trans. on Automatic Control, 57(8):1898-1917, 2012.

See my Google scholar page for a complete list.

Teaching

From 2020 I am teaching the TSRT09 Control Theory course.
In 2014-19 I was teaching the TSRT62 Modeling and Simulation course.

I am also responsible for the PhD course Nonlinear Control, normally given every second year. In 2015 I taught two other PhD courses: Networked Dynamical Systems and Systems Biology: nonlinear mechanistic models.

Master Thesis proposals

I have several topics for Master thesis for Engineering students. Contact me if interested.

Latest Publications

Angela Fontan, Marco Ratta, Claudio Altafini,  From populations to networks: Relating diversity indices and frustration in signed graphs, PNAS NEXUS 3:pgae046 (2024)  https://doi.org/10.1093/pnasnexus/pgae046

Carmela Bernardo, Claudio Altafini, Anton Proskurnikov, Francesco Vasca,  Bounded confidence opinion dynamics: A survey, Automatica 159:111302 (2024)  https://doi.org/10.1016/j.automatica.2023.111302

Luca Claude Gino Lebon, Francesco Lo Iudice, Claudio Altafini,  On controllability of temporal networks, European Journal of Control 80:101046 (2024)  https://doi.org/10.1016/j.ejcon.2024.101046

Trisha Srivastava, Carmela Bernardo, Claudio Altafini, Francesco Vasca,  Connectivity and Synchronization in Bounded Confidence Kuramoto Oscillators, IEEE Control Systems Letters 8:874-879 (2024)  https://doi.org/10.1109/LCSYS.2024.3405379

Alberto Zenere, Sandra Hellberg, Georgia Papapavlou Lingehed, Maria Svenvik, Johan Mellergård, Charlotte Dahle, Magnus Vrethem, Johanna Raffetseder, Mohsen Khademi, Tomas Olsson, Marie Blomberg, Maria Jenmalm, Claudio Altafini, Mika Gustafsson, Jan Ernerudh,  Prominent epigenetic and transcriptomic changes in CD4(+) and CD8(+) T cells during and after pregnancy in women with multiple sclerosis and controls, Journal of Neuroinflammation 20:98 (2023)  https://doi.org/10.1186/s12974-023-02781-2

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