About me

Hi, my name is Arthur Montanari. I am a postdoctoral scholar at the Center for Network Dynamics and the Department of Physics and Astronomy at Northwestern University, USA. I received the M.Sc. and Ph.D. degrees in Electrical Engineering, with a focus on control theory and nonlinear dynamics, from the Federal University of Minas Gerais, Brazil, in 2018 and 2021, respectively. From 2021 to 2022, I was a postdoctoral fellow at the Luxembourg Centre for Systems Biomedicine, University of Luxembourg, where I specialized in the development of machine learning models for biomedical data.

My current research focuses on the scalable control and design of collective behavior in large-scale networks, bridging theory to applications in physical systems. Recent applications cover the synchronization of large networks of coupled lasers and Josephson junctions, the optimal control of multi-agent systems for spatial navigation, the development of machine-learning models for heart disease prediction and drug discovery, and the scalable design of state estimators for fault detection in power grids.

Selected publications

AN Montanari, C Duan, LA Aguirre, AE Motter. Functional observability and target state estimation in large-scale networks. Proceedings of the National Academy of Sciences of the U.S.A, 119: e2113750119 (2022).

ME Gavidia, H Zhu, AN Montanari, J Fuentes, …, X He, X Yang, J Gonçalves. Early warning of atrial fibrillation using deep learning. Patterns, 5:100970 (2024).

G Retamales, ME Gavidia, B Bausch, AN Montanari, A Husch, J Gonçalves. Towards automatic home-based sleep apnea estimation using deep learning. npj Digital Medicine, 7:144 (2024).

AN Montanari, C Duan, AE Motter. Duality between controllability and observability for target control and estimation in networks. arXiv:2401.16372 (2024).

AN Montanari, L Freitas, LAB Torres, LA Aguirre. Phase synchronization analysis of bridge oscillators between clustered networks. Nonlinear Dynamics, 97:2399-2411 (2019).