Publications

Peer-reviewed publications

  1. AN Montanari, F Bullo, D Krotov, AE Motter. Energy-based dynamical models for neurocomputation, learning, and optimization.
    American Control Conference (ACC), accepted (2026). arxiv

  2. M Jayadharan, C Catlett, AN Montanari, NM Mangan. SODAs: Sparse optimization for the discovery of differential and algebraic equations.
    Proceedings of the Royal Society A, in press (2026). arXiv · codes

  3. AN Montanari, AED Barioni, C Duan, AE Motter. Optimal flock formation induced by agent heterogeneity.
    Nature Communications, 16:9626 (2025). doi · arXiv · codes

  4. AED Barioni, AN Montanari, AE Motter. Interpretable disorder-promoted synchronization and coherence in coupled laser networks.
    Physical Review Letters, 135:197401 (2025). doi     · arXiv · codes

  5. MM Garcia, A Aalto,  AN Montanari, A Skupin, J Gonçalves. Multi-omic network inference from time-series data.
    npj Systems Biology and Applications, 11:114 (2025). doi · codes

  6. A Allibhoy, AN Montanari, F Pasqualetti, AE Motter. Global optimization through heterogeneous oscillator Ising machines.
    IEEE 64th Conference on Decision and Control (CDC), 998-1005, Rio de Janeiro, Brazil (2025). doi · arXiv

  7. Y Wang, AN Montanari, AE Motter. Distributed Lyapunov functions for nonlinear networks.
    IEEE Control Systems Letters, 9:486-491(2025). doi · arXiv · codes

  8. AN Montanari, C. Duan, AE Motter. Duality between controllability and observability for target control and estimation in networks.
    IEEE Transactions on Automatic Control, 70:5584-5591 (2025). doi · arXiv

  9. AN Montanari, C Duan, AE Motter. On the Popov-Belevitch-Hautus tests for functional observability and output controllability.
    Automatica, 174:112122 (2025). doi · arXiv

  10. 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). doi · medRxiv · codes

  11. 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). doi · medRxiv · codes · data · press release · editorial cover letter

  12. AN Montanari, C Duan, AE Motter. Target controllability and target observability of structured network systems.
    IEEE Control Systems Letters, 7:3060-3065 (2023). doi · arXiv · codes

  13. J Dias, AN Montanari, EEN Macau. Power grid vulnerability and its relation with network structure.
    Chaos, 33:033122 (2023). doi

  14. AN Montanari, L Freitas, D Proverbio, J Gonçalves. Functional observability and subspace reconstruction in nonlinear systems.
    Physical Review Research, 4:043195 (2022). doi · arXiv · codes

  15. D Proverbio, AN Montanari, A Skupin, J Gonçalves. Buffering variability in cell regulation motifs close to criticality.
    Physical Review E, 106:L032402 (2022). doi · arXiv

  16. 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). doi · arXiv · codes · video

  17. AN Montanari, LA Aguirre. Observability of network systems: A critical review of recent results.
    Journal of Control, Automation and Electrical Systems, 31:1348-1374 (2020). doi · preprint · codes · journal top-10 most viewed 2020 article

  18. AN Montanari, EI Moreira, LA Aguirre. Effects of network heterogeneity and tripping time on the basin stability of power systems.
    Communications in Nonlinear Science and Numerical Simulation, 89:105296 (2020). doi · preprint · codes

  19. LL Portes, AN Montanari, D Correa, M Small, LA Aguirre. The observability properties of the recorded time series influence the reliability of recurrence network analysis.
    Chaos, 29:083101 (2019). doi · preprint

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

  21. AN Montanari, LA Aguirre. Particle filtering of dynamical networks: Highlighting observability issues.
    Chaos, 29:033118 (2019). doi · arXiv · codes

  22. AN Montanari, CF Luciano, MM Stopa, CA Lima. A virtual environment for paralleling operation of synchronous generators on LabVIEW and Simulink.
    International Symposium on Engineering Accreditation (ICACIT), Lima, Peru (2017). doi

  23. AN Montanari, ES Oliveira. A novel analog multisensor design based on fuzzy logic: A magnetic encoder application.
    IEEE Sensors Journal, 17:7096-7104 (2017). doi

Preprints

  1. AN Montanari, F Lamoline, R Bereza, J Gonçalves. Identifiability of differential-algebraic systems.
    arXiv:2405.13818 (2024). arXiv · codes

     

Invited talks at conferences, seminars, and colloquiums

  1. Disordered systems for neurocomputation.
    Invited seminar speaker, CCDC Seminar Series, UC Santa Barbara, USA (2026). slides

  2. Disorder-promoted synchronization and coherence in coupled laser networks.
    Invited session speaker, 55th Winter Colloquium on Physics of Quantum Electronics, Snowbird, UT, USA (2026). slides

  3. An introduction to dynamical models for neurocomputation.
    Workshop organizer, Neurocomputation & Dynamics Workshop at the IEEE Conference on Decision and Control, Rio de Janeiro, Brazil (2025). slides

  4. Optimal flock formation induced by heterogeneity.
    Invited session speaker, SIAM Conference on Applications of Dynamical Systems, Denver, CO, USA (2025). slides

  5. Flocking dynamics promoted by heterogeneity.
    Invited seminar speaker, ECE Seminar Series, Northwestern University, USA (2024). slides

  6. Scalable control and state estimation of distributed large-scale networks. 
    Invited workshop     speaker, Brain Architecture and Computing Workshop, Evanston, IL, USA (2024). slides

  7. Control, monitoring, and resource allocation in power grids.
    Invited satellite speaker, Power-net 2023 Meeting, Vienna, Austria (2023). slides

  8. Functional observability and target state estimation in large-scale networks. 
    Invited session speaker, SIAM Conference on Applications of Dynamical Systems, Portland, OR, USA (2023). slides

  9. Identifiability of biological regulatory systems.
    Invited colloquium speaker, Luxembourg Centre for Systems Biomedicine Colloquium, University of Luxembourg, Luxembourg (2022). slides

  10. Functional observability and target state estimation in large-scale networks.
    Invited seminar speaker, UWA Complex Systems Seminar, University of Western Australia, Australia (2021). slides · recording

  11. Target control of networks: From linear to nonlinear systems.
    Invited seminar speaker, Complex Systems Group, Federal University of São Paulo (UNIFESP), Brazil (2021).

  12. Functional observability and target state estimation in large-scale networks.
    Invited seminar speaker, Complex Systems Group, Federal University of São Paulo (UNIFESP), Brazil (2020).

Conference presentations and posters

  1. AN Montanari, Y Wang, AE Motter. Distributed Lyapunov functions for nonlinear networks.
    IEEE Conference on Decision and Control, Rio de Janeiro, Brazil (2025). slides

  2. AN Montanari, C Duan, AE Motter. Duality between controllability and observability for target control and estimation in networks.
    IEEE Conference on Decision and Control, Rio de Janeiro, Brazil (2025). slides

  3. AED Barioni, AN Montanari, C Duan, AE Motter. Networking drones of different feathers: the secret sauce for flocking.
    International School and Conference on Network Science (NetSci), Maastricht, Netherlands (2025).

  4. AN Montanari, Y Wang, AE Motter. Designing disordered oscillator Ising machines for global optimization.
    International Workshop on Ising Machines, Evanston, IL, USA (2025). slides

  5. AED Barioni, AN Montanari, C Duan, AE Motter. Heterogeneity in collective behavior: Bio-inspired flocking of drones.
    Annual Meeting of the National Institute for Theory and Mathematics in Biology, Chicago, IL, USA (2025). poster

  6. M Jayadharan, F Hagerty, AN Montanari, C Catlett, NM Mangan. Numerical strategies for model selection of differential-algebraic equations.
    SIAM Conference on Mathematics of Data Science, Atlanta, GA, USA (2024).

  7. AN Montanari, C Duan, AE Motter. Target controllability and target observability of structured network systems.
    IEEE Conference on Decision and Control, Singapore, Singapore (2023). slides

  8. L Freitas, AN Montanari, WC Silva Junior, VHS Bittencourt, PAS Braga, ES Oliveira, LA Aguirre. Electronic implementation of networks of Kuramoto oscillators.
    Latin American Conference on Complex Networks (LANET), Cusco, Peru (2023). poster

  9. AN Montanari, AE Motter. Control and observation of target nodes.
    International School and Conference on Network Science (NetSci), Vienna, Austria (2023). slides

  10. L Freitas, AN Montanari, WC Silva Junior, VHS Bittencourt, ES Oliveira, LA Aguirre. Electronic implementation of networks of Kuramoto oscillators.
    International School and Conference on Network Science (NetSci), Vienna, Austria (2023). poster

  11. AE Motter, AN Montanari, C Duan, L Aguirre, T Nishikawa. Scalable control and observability: Power grids and other large-scale networks.
    International Conference on Statistical Physics (SigmaPhi), Crete, Grecia (2023).

  12. J Dias, AN Montanari, EEN Macau. A dynamic vulnerability index for transmission networks.
    Conference on Nonlinear Science and Complexity (NSC), Thessaloniki, Greece [online] (2022).

  13. AN Montanari, C Duan, LA Aguirre, AE Motter. Functional observability and target state estimation in large-scale networks.
    SIAM Workshop on Network Science, Evanston, IL, USA [online] (2022). slides

  14. A Aalto, F Lamoline, AN Montanari, J Gonçalves. Identifiability of biological regulatory systems.
    European Research Network on System Identification (ERNSI), Leuven, Belgium (2022). poster

  15. AN Montanari, C Duan, LA Aguirre, AE Motter. Functional observability and target state estimation in large-scale networks.
    International School and Conference on Network Science (NetSci), Shanghai, China [online] (2022). slides

  16. MM Garcia, AN Montanari, F Lamoline, A Aalto, J Gonçalves. metaBINGO: combined modelling of transcriptomic and metabolomic time series data.
    Network Science in Biology and Medicine Satellite (NetBioMed), Shanghai, China [online] (2022). slides

  17. AN Montanari, F Lamoline, J Gonçalves. Identifiability of differential-algebraic and closed-loop systems: A case study of the electromechanical positioning system.
    Workshop on Nonlinear System Identification Benchmarks, Leuven, Belgium (2022). slides

  18. LL Portes, AN Montanari, D Correa, M Small, LA Aguirre. Reliability of recurrence network analysis on the observability properties of the recorded time series.
    International Symposium on Recurrence Plots, Zhenjiang, China (2019).

  19. AN Montanari, LA Aguirre. On functional observability, sensor allocation and dynamical networks.
    Latin American Conference on Complex Networks (LANET), Cartagena, Colombia (2019). poster

  20. AN Montanari, EI Moreira, LA Aguirre. Relation between basin stability of perturbed power systems, network heterogeneity, and tripping time.
    Latin American Conference on Complex Networks (LANET), Cartagena, Colombia (2019). slides